Journal of Integrative Agriculture-Forthcoming Articles Forthcoming Articles http://journals.caass.org.cn/zgnykx-en EN-US http://journals.caass.org.cn/zgnykx-en/EN/current.shtml http://journals.caass.org.cn/zgnykx-en 5 <![CDATA[Multi-omics-driven development of alternative crops for natural rubber production]]> Natural rubber (NR) is an irreplaceable biopolymer of economic and strategic importance owing to its unique physical and chemical properties. The Pará rubber tree (Hevea brasiliensis (Willd. ex A. Juss.) Müll. Arg.) is currently the exclusive commercial source of NR, and it is primarily grown in plantations restricted to the tropical and subtropical areas of Southeast Asia. However, current Pará rubber production barely meets the sharply increasing global industrial demand for rubber. Petroleum-based synthetic rubber (SR) has been used to supplement the shortage of NR but its industrial performance is not comparable to that of NR. Thus, there is an urgent need to develop new productive rubber crops with broader environmental adaptability. This review summarizes the current research progress on alternative rubber-producing plants, including horticultural plants (Taraxacum kok-saghyz Rodin and Lactuca L. species), woody plants (Parthenium argentatum A.Gray and Eucommia ulmoides Oliv.), and other plant species with potential for NR production. With an emphasis on the molecular basis of NR biosynthesis revealed by a multi-omics approach, we highlight new integrative strategies and biotechnologies for exploring the mechanism of NR biosynthesis with a broader scope, which may accelerate the breeding and improvement of new rubber crops. 

]]>
<![CDATA[Water diversion and agricultural production: Evidence from China]]> Water diversion can alleviate water shortages caused by the uneven distribution of water resources. China's South-to-North Water Diversion (SNWD) is the largest water diversion project worldwide. Based on the prefecture-level data of China’s Huang-Huai-Hai Plain from 2000 to 2020, this study employs an empirical strategy of Differences-in-Differences (DID) to analyze the impact of SNWD on agricultural production. The results show that SNWD has significantly increased agricultural production, measured by the agricultural value added. The estimated results of the benchmark model remain robust when the contemporaneous policy is addressed, an alternative outcome is used, subsamples are estimated, and alternative estimation techniques are employed. This study argues that the potential impact mechanism may be that SNWD significantly increases the acreage for cash crops but reduces that for grain crops. Heterogeneity analysis shows that in prefectures with high temperature or land potential, SNWD’s impact on agricultural value added is relatively low. In contrast, in areas with prolonged sunshine or high slopes, SNWD’s impact on agricultural value added is relatively large. Given the low added value of grain crops, the government should consider strengthening food security by subsidizing water supply to sustain grain production.

]]>
<![CDATA[Identification of key genes involved in flavonoid and terpenoid biosynthesis and the pathway of triterpenoid biosynthesis in<em> Passiflora edulis</em>]]> Passion fruit (Passiflora edulis Sims) is a vine of the Passiflora genus in the Passifloraceae family. The extracted components include flavonoids and terpenoids, which have good anti-anxiety and anti-inflammatory effects in humans. In this study, we analyzed the transcriptomes of four tissues of the Zixiang variety using RNA-Seq, which provided a dataset for functional gene mining. The de novo assembly of these reads generated 96,883 unigenes, among which 61,022 unigenes were annotated (62.99% yield). In addition to its edible value, another important application of passion fruit is its medicinal value. The flavonoids and terpenoids are mainly derivatives of luteolin, apigenin, cycloartane triterpenoid saponins and other active substances in leaf extracts. A series of candidate unigenes in the transcriptome data that are potentially involved in the flavonoid and terpenoid synthesis pathways were screened using homology-based BLAST and phylogenetic analysis. The results showed that the biosynthesis of triterpenoids in passion fruit comes from the branches of the mevalonate (MVA) and 2-C-methyl-D-erythritol 4-phosphate/1-deoxy-D-xylulose 5-phosphate (MEP/DOXP) pathways, which is different from the MVA pathway that is used in other fruit trees. Most of the candidate genes were found to be highly expressed in the leaves and/or flowers. Quantitative real-time PCR (qRT-PCR) verification was carried out and confirmed the reliability of the RNA-Seq data. Further amplification and functional analysis of these putative unigenes will provide additional insight into the biosynthesis of flavonoids and terpenoids in passion fruit.

]]>
<![CDATA[SNP-based identification of QTLs for thousand-grain weight and related traits in wheat 8762/Keyi 5214 DH lines]]> As important yield-related traits, thousand grain weight (TGW), grain number per spike (GNS) and grain weight per spike (GWS) are crucial components for wheat production.  To dissect the underlying genetic basis, a DH population comprised of 198 lines derived from 8762/Keyi5214 was constructed. Then, we used genechip to genotype the DH population and integrated yield related traits TGW, GNS and GWS for QTL mapping.  Finally, we obtained a total of 18,942 polymorphic SNP markers and identified 41 crucial QTLs for these traits.  Three stable QTLs for TGW were identified on chromosomes 2D (QTgw-2D.3 and QTgw-2D.4) and 6A (QTgw-6A.1), with additive alleles all from the parent 8762, explaining 4.81-18.67% phenotypic variations.  Five stable QTLs for GNS on chromosomes 3D, 5B, 5D and 6A were identified.  QGns-5D.1 was from parent 8762, while the other four QTLs were from parent Keyi5214, explaining 5.89-7.08% of the GNS phenotypic variations.  In addition, a stable GWS genetic locus QGws-4A.3 was detected from the parent 8762, which explained 6.08-6.14% of the phenotypic variations.  To utilize the identified QTLs, we developed STARP markers for four important QTLs, Tgw2D.3-2, Tgw2D.4-1, Tgw6A.1 and Gns3D.1.  Our results provided important basic resources and references for identification and cloning of genes related to TGW, GNS and GWS in wheat.

]]>
<![CDATA[A novel mutation in <em>ACS11 </em>leads to androecy in cucumber]]>

Sex determination in plants gives rise to unisexual flowers. A better understanding of the regulatory mechanism underlying the production of unisexual flowers will illuminate sex determination in plants and allow researchers and farmers to harness heterosis. Androecious cucumber (Cucumis sativus L.) plants can be used as the male parent when planted alongside a gynoecious line to produce heterozygous seeds, thus decreasing the cost of seed production. The isolation and characterization of additional androecious genotypes in varied backgrounds will increase the pool of available germplasm for breeding. Here, we discovered an androecious mutant in a previously generated ethyl methanesulfonate (EMS)–mutagenized library of the cucumber inbred line ‘406’. Genetic analysis, whole-genome resequencing, and molecular marker–assisted verification demonstrated that a nonsynonymous mutation in the ethylene biosynthetic gene 1-AMINOCYCLOPROPANE-1-CARBOXYLATE SYNTHASE 11 (ACS11) conferred androecy. The mutation caused an amino acid change from serine (Ser) to phenylalanine (Phe) at position 301 (S301F). In vitro enzyme activity assays revealed that this S301F mutation leads to a complete loss of enzyme activity. This study thus provides a new germplasm for use in cucumber breeding as the androecious male parent and offers new insights into the catalytic mechanism of ACS enzymes.

]]>
<![CDATA[Combining nitrogen effects and metabolomics to reveal the response mechanisms to nitrogen stress and the potential for nitrogen reduction in maize]]> The physiological and metabolic differences in maize under different N (N) levels are the basis of reasonable N management in the field, which plays an important role in improving fertilizer utilization and reducing environmental pollution.  In this paper, on the premise of defining the N fertilizer efficiency and yield under different long-term N fertilization treatments, the corresponding differential metabolites and their metabolic pathways were analyzed by untargeted metabolomics in maize.  N stress, including deficiency and excess, affects the balance of carbon (C) metabolism and N metabolism by regulating C metabolites, including sugar alcohols and TCA cycle intermediates, and N metabolites, including various amino acids and their derivatives.  L-alanine, L-phenylalanine, L-histidine and L-glutamine decreased under N deficiency, but L-valine, proline and L-histidine increased under N excess. In addition to sugar alcohols and the above amino acids in C and N metabolism, differential secondary metabolites, flavonoids such as kaempferol, luteolin, rutin and diosemetin, and hormones such as indoleacetic acid, trans-zeatin and jasmonic acid, were initially considered as indicators for N stress diagnosis under this experimental conditions.  This study also indicated that the leaf metabolic levels of N2 (120 kg ha-1 N) and N3 (180 kg ha-1 N) were similar, which was consistent with the differences in their physiological indexes and yield over 12 years between them.  This study verified the feasibility of reducing N fertilization from 180 kg ha-1 (locally recommended) to 120 kg ha-1 at the metabolic level, which provided a mechanistic basis for reducing N fertilization without reducing yield, further improving the N utilization rate and protecting the ecological environment.

]]>
<![CDATA[<span>Isolation and functional analysis of SrMYB1, a direct transcriptional repressor of <em>SrUGT76G1 </em>in <em>Stevia rebaudiana</em></span>]]> SrUGT76G1, the most well-studied diterpene glycosyltransferase in Stevia rebaudiana, is key to the biosynthesis of economically important steviol glycosides (SGs). However, the molecular regulatory mechanism of SrUGT76G1 has rarely been explored. In this study, we identified a MYB transcription factor, SrMYB1, by yeast one-hybrid screening assay. SrMYB1 belongs to the typical R2R3-type MYB protein and is specifically localized in nucleus with strong transactivation activity. The transcript of SrMYB1 is predominantly accumulated in flowers while present at a lower level in leaves. Yeast one-hybrid and electrophoretic mobility shift assays validate that SrMYB1 binds directly to the MYB binding sites in the F4-3 fragment (+50-141) of SrUGT76G1 promoter. Furthermore, we find that SrMYB1 could significantly repress the expression of SrUGT76G1 in both epidermal cells of tobacco leaves and stevia callus. Taken together, our results demonstrate that SrMYB1 is an essential upstream regulator of SrUGT76G1 and provide novel insight into the regulatory network for SGs metabolic pathway in Stevia rebaudiana

]]>
<![CDATA[No-tillage with straw mulching boosts grain yield of wheat via improving the eco-physiological characteristics in arid regions]]> Straw returning to the field is a technical measure of crop production widely adopted in arid areas.  It is unknown whether crop yield can be further increased by improving the eco-physiological characteristics when straw returning was application of crop production system.  So, a three-year field experiment was conducted with various straw returning treatments for wheat production: (i) no-tillage with straw mulching (NTSM), (ii) no-tillage with straw standing (NTSS), (iii) conventional tillage with straw incorporation (CTS), and (iv) conventional tillage with no straw returning (CT, control).  The eco-physiological and yield formation indicators were investigated to provide the basis for selecting the appropriate way of straw returning to increase wheat yield and clarifying its regulation mechanism on eco-physiology.  The results showed that NTSM and NTSS treatments had better regulation on eco-physiological characteristics and had a greater yield increase than CTS and CT.  Meanwhile, NTSM had a relatively higher yield than NTSS through better regulation on eco-physiological characteristics.  Compared to CT, leaf area index of NTSM was decreased by 6.1–7.6% before feekes 10.0 stage of wheat, but that of NTSM was increased by 38.9–45.1% after feekes 10.0 stage.  NTSM effectively regulated the dynamics of photosynthetic source of green leaves for wheat growth period.  NTSM improved net photosynthetic rate by 10.2–21.4% and 11.0–21.6%, raised transpiration rate by 4.4–10.0% and 5.3–6.1%, increased leaf water use efficiency by 5.6–10.4% and 5.4–14.6%, at feekes 11.0 and 11.2 stages of wheat, in comparison to CT, respectively.  NTSM had higher leaf water potential (LWP) by 7.5–12.0% and soil water potential (SWP) by 8.9–24.0% from feekes 10.3 to 11.2 stages of wheat than CT.  Meanwhile, the absolute value of difference on LWP and SWP with NTSM was less than that with CT, indicating that NTSM was conducive to hold the stability of water demand for wheat plants and water supply of soil at arid conditions.  Thus, NTSM had greater grain yield of wheat by 18.6–27.3% than CT, and the high yield was attributed to the synchronous increase and cooperative development of ear number, grain number per ear, and 1000-grain weight.  Collectively, NTSM had positive effect on regulating the eco-physiological characteristics, can be recommended to enhance wheat grain yield at arid conditions.

]]>
<![CDATA[Genome-wide association study identifies 12 new genetic loci associated with growth traits in pigs]]> Growth traits are among the most important economic traits in pigs and are regulated by polygenes with complex regulatory mechanisms. As the major indicators of growth performance, the backfat thickness (BFT), loin eye area (LEA), and days to 100 kg (D100) traits are commonly used to improve pig genetics. However, the available genetic markers for these traits are limited. To uncover novel loci and candidate genes associated with growth performance, we collected the phenotypic information of BEF, LEA, and D100 in 1,186 pigs and genotyped all these individuals using the Neogen GGP porcine 80K BeadChip. We performed a genome-wide association study (GWAS) using 4 statistical models, including mixed linear models (MLM), fixed and random model circulating probability unification (FarmCPU), settlement of MLM under progressively exclusive relationships (SUPER), Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (Blink), and identified 5, 3, and 6 high-confidence single nucleotide polymorphisms (SNPs) associated with BFT, LEA, and D100, respectively. Variant annotation and quantitative trait locus (QTL) mapping analysis suggested that 6 genes (SKAP2, SATB1, PDE7B, PPP1R16B, WNT3, and WNT9B) were potentially associated with growth performance in pigs. Transcriptome analysis suggested that the expression of Src Kinase Associated Phosphoprotein 2 (SKAP2) was higher in prenatal muscles than in postnatal muscles, and the expression of Phosphodiesterase 7B (PDE7B) continuously increased during the prenatal stages and gradually decreased after birth, implying their potential roles in prenatal skeletal muscle development. Overall, this study provides new candidate loci and genes for the genetic improvement of pigs.

]]>
<![CDATA[Predicting and delineating soil temperature regimes of China using pedotransfer function]]> Soil temperature regime (STR) is important for soil classification and land use. Generally, STR is delineated by estimating the mean annual soil temperature at a depth of 50 cm (MAST50) according to the Chinese Soil Taxonomy (CST). However, delineating the STR of China remains a challenge due to the difficulties in accurately estimating MAST50. The objectives of this study were to explore environmental factors that influence the spatial variation of MAST50 and generate an STR map for China. Soil temperature measurements at 40 and 80 cm depth were collected from 386 National Meteorological Stations in China during 1971–2000. The MAST50 was calculated as the average mean annual soil temperature (MAST) from 1971–2000 between 40 and 80 cm depths. In addition, 2,048 mean annual air temperature (MAAT) measurements from 1971 to 2000 were collected from the National Meteorological Stations across China. A zonal pedotransfer function (PTF) was developed based on the ensemble linear regression kriging model to predict the MAST50 in three topographic steps of China. The results showed that MAAT was the most important variable related to the variation of MAST50. The zonal PTF was evaluated with a 10% validation dataset with a mean absolute error (MAE) of 0.66oC and root mean square error (RMSE) of 0.78oC, which were smaller than the unified model with MAE of 0.83oC and RMSE of 0.96oC, respectively. This study demonstrated that the zonal PTF helped improve the accuracy of the predicted MAST50 map. Based on the prediction results, an STR map across China was generated to provide a consistent scientific base for the improvement and application of CST and land use support.

]]>
<![CDATA[Combining controlled-release urea and normal urea with appropriate nitrogen application rate to reduce wheat stem lodging risk and increase grain yield and yield stability]]> A mixture of controlled-release urea and normal urea (CRUNU) is an efficient nitrogen (N) fertilizer type, but little is known about its effects on stem lodging resistance, grain yield, and yield stability of wheat.  In this study, a 4-year field experiment (from 2017 to 2021) was conducted to analyze the effects of N fertilizer types (CRUNU and normal urea (NU)) and application rates (low level (L): 135 kg ha-1, medium level (M): 180 kg ha-1 and high level (H): 225 kg ha-1) on population lodging resistance, basal internode strength, lignin content and synthetase activity, stem lodging resistance, grain yield, and yield stability of wheat.  Our results showed that the two N fertilizer types had the highest lodging rate under high N application rates, and the M-CRUNU treatment showed the lowest lodging rate.  Compared with NU, CRUNU improved the wheat population lodging resistance under the three N application rates, which was mainly related to the improvement in wheat population characteristics and breaking strength of the second basal internode.  Correlation analysis showed that the breaking strength of the second basal internode was related to the physical characteristics, chemical components, and micro-structure of the internode.  Compared with NU, CRUNU significantly increased wheat grain yield by 4.47, 14.62 and 3.12% under low, medium and high N application rates, respectively.  In addition, CRUNU showed no significant difference in grain yield under medium and high N application rates, but it presented the highest yield stability under medium N application rate.  In summary, CRUNU combined with medium N application rate is an efficient agronomic management strategy for wheat production.

]]>
<![CDATA[Improvement of soil fertility and rice yield after long-term application of cow manure combined with inorganic fertilizers]]> Fertilization is an effective technique to improve soil fertility and increase crop yield. The long-term effects of different fertilizers on soil considerably vary. Over 38 consecutive years of different fertilization positioning experiments in a double cropping rice field of Qiyang Red soil Experimental Station, seven different fertilization treatments including CK (no fertilization), NPK (nitrogen, phosphorus, and potassium fertilizer), M (cow manure), NPKM (nitrogen, phosphorus, and potassium with cow manure), NPM (nitrogen and phosphorus with cow manure), NKM (nitrogen and potassium with cow manure), and PKM (phosphorus and potassium with cow manure) were applied to study the effects on rice yield, soil fertility, and nutrient apparent balance in a paddy field. The results showed that the annual average yields of rice in NPKM, NPM, NKM, PKM, M, NPK and CK treatments ranged from 6214 to 11562 kg ha-1. Yields under long-term organic and inorganic treatments (NPKM, NPM, NKM and PKM) were 22.58, 15.35, 10.53 and 4.41%, respectively, greater than under the NPK treatment. Soil organic carbon (SOC), total nitrogen (TN), available nitrogen (AN) and available potassium (AK) concentration with long-term organic and inorganic treatment (NPKM, NPM, NKM and PKM) were significantly higher than in inorganic fertilizer (NPK) treatments. Soil  total phosphorus (TP) and available phosphorus (AP) contentration with organic fertilizer combined with inorganic N and P fertilizer treatment (NPKM, NPM and PKM) were significantly higher than with inorganic fertilizer alone (NPK treatments). The average annual rice yield (11562 kg ha-1), SOC (20.88 g kg-1), TN (2.30 g kg-1), TP (0.95 g kg-1), TK (22.50 g kg-1) and AP (38.94 mg kg-1) concentrations were highest in the NPKM treatment. The soil AN concentration (152.40 mg kg-1) and AK contentration (151.00 mg kg-1) were highest in the NKM treatment. N and P application led to a surplus of nitrogen and phosphorus in the soil, but NPKM treatment effectively reduced the surplus compared with other treatments. Soils under all treatments were deficient in potassium. Correlation analysis showed that SOC, TN, AN, TP, and AP contentration were significantly correlated with rice yield; the correlation coefficients were 0.428, 0.496, 0.518, 0.501, and 0.438, respectively. This study showed that the combined application of N, P, and K with cow manure had important effects on rice yield and soil fertility, but balanced application of N, P, and K with manure was required.

]]>
<![CDATA[Integrating a novel irrigation approximation method with a process-based remote sensing model to estimate multi-years winter wheat yield over the North China Plain]]> Accurate estimation of regional winter wheat yields is essential for understanding the food production status and ensuring national food security. However, using the existing remote sensing-based crop yield models to accurately reproduce the inter-annual and spatial variations in winter wheat yields remains challenging due to the limited ability to acquire irrigation information in water-limited regions. Thus, we proposed a new approach to approximating irrigations of winter wheat over the North China Plain (NCP), where irrigation occurs extensively during the winter wheat growing season. This approach used irrigation pattern parameters (IPPs) to define the irrigation frequency and timing. Then, they were incorporated into a newly developed process-based and remote sensing driven crop yield model for winter wheat (PRYM-Wheat), to improve the regional estimates of winter wheat over the NCP. The IPPs were determined using statistical yield data of reference years (2010-2015) over the NCP. Our findings showed that PRYM-Wheat with the optimal IPPs could improve the regional estimate of winter wheat yield, with an increase and decrease in the correlation coefficient (R) and root mean square error (RMSE) of 0.15 (about 37%) and 0.90 t ha-1 (about 41%), respectively. The data in validation years (2001-2009 and 2016-2019) was used to validate PRYM-Wheat. In addition, our findings also showed R (RMSE) of 0.80 (0.62 t ha-1) on a site level, 0.61 (0.91t ha-1) for Hebei Province on a county level, 0.73 (0.97 t ha-1) for Henan Province on a county level, and 0.55 (0.75 t ha-1) for Shandong Province on a city level. Overall, PRYM-Wheat can offer a stable and robust approach to estimating regional winter wheat yield across multiple years, providing a scientific basis for ensuring regional food security.

]]>
<![CDATA[Developing a duplex ARMS-qPCR method to differentiate genotypes I and II African swine fever viruses based on their B646L genes]]> African swine fever (ASF), caused by the African swine fever virus (ASFV), is an acute, hemorrhagic, and contagious disease of domestic pigs and wild boars. The disease is notifiable and listed by the World Organization for Animal Health (WOAH) (Wang et al. 2019). The outcomes of ASF infection can be peracute, acute, subacute, and chronic, depending on the virulence of ASFVs. According to the report of WOAH, from January 2020 to December 2022, ASF led to more than 2,000,000 pig losses (www.woah.org). Currently, ASFV persists continuously in more than 23 countries and poses a serious threat to the global swine industry. ASF invaded China on 3 August 2018, caused by genotype II virulent Georgia-07-like ASFVs (Zhao et al. 2019; Wen et al. 2019; Wang et al. 2020; Wang et al. 2022). An experimental study showed that Georgia-07-like ASFV HLJ/18 isolated in China is highly lethal and efficiently transmissible in domestic pigs (Zhao et al. 2019; Jiang et al. 2021). During the past four years, genotype II Georgia-07-like ASFVs dominantly spread in China. However, the low virulent genotype II and genotype I ASFVs have been successively reported in China in 2020 and 2021, respectively (Sun et al. 2021; Sun et al. 2021; Shi et al. 2022). Compared with the high virulent genotype II HLJ/18 strain, the low virulent genotype II and genotype I ASFVs had lower virulence and high transmissibility in pigs and induced persistent and chronic infection showing irregular virus shedding at low levels (Sun et al. 2021; Sun et al. 2021; Wang et al. 2022; Tsegay et al. 2022). Notably, when different genotype I and genotype II viruses infect the same pig in the field, a novel virus may be generated through viral genome recombination, which brings new problems and challenges for the prevention and control of ASF in China. Thus, a diagnostic method that differentiates genotype I and genotype II ASFVs with high sensitivity and stability is urgently needed and will be helpful for the prevention and control of ASF in China.

ASFVs have been divided into at least 24 genotypes based on the C-terminus of the B646L gene with 478 nt (Bastos et al. 2003). B646L gene is one of the most used target genes for ASF diagnosis, which is also the target gene for the WOAH recommended PCR and fluorescent quantitative PCR assays (Agüero et al. 2003; King et al. 2003). Sanger sequencing of targeted amplification of the B646L genes is the main genotyping approach for ASFVs. Recently, Li et al. developed the duplex real-time PCR assay based on the ASFV E296R gene, and Cao et al. established the TaqMAN-MGB probe assay based on the N-terminal sequences of the B646L gene (Li et al. 2022; Cao et al. 2022), which could distinguish genotype I and genotype II ASFVs with detection limits of 10 copies. However, the target genes or regions in their methods were out of ASFV genotyping regions.

Single Nucleotide Polymorphism (SNP) is a single base change at a specific position in the genome of different individuals and can be used as a genotyping marker for the detection of different individual genotypes (Gut. 2001). The amplification refractory mutation system (ARMS), also named Allele-Specific PCR (AS-PCR), relies on the extension of primer only when its 3’end has a perfect complement to the template (Wang et al. 2019). ARMS-qPCR technology has been developed and widely used in SNP detection and genotyping (Ochsenreither et al. 2010; Shi et al. 2013; Wang et al. 2019). Compared with other assays for SNP detection and genotyping, ARMS-qPCR has the advantage of low-cost, simple operation, high sensitivity, and rapid and real-time detection.

Here, 126 complete or partial B646L genes of ASFVs, including 78 genotype I and 48 genotype II viruses, were obtained from the GenBank database, and their information is shown in Appendix A. After analyzing these genes by the MegAlign software (DNAStar), there were 4 SNPs in the C-terminus of the B646L gene, differentiating genotype I viruses from genotype II viruses (Fig. 1-A). Two SNPs at sites 1656 and 1710 were used to design primers and probes for differential detection of genotype I and II ASFVs (Fig. 1-A). As previously described (Huang et al. 1992; Liu et al. 2012), primers (F, I R, and II R) and probes (Probe 1 and Probe 2) were designed with the targeted gene sequences using Primer 5 Software (Fig. 1-B; Appendix B). For the positive sample of genotype I ASFV, FAM and Cy5 fluorophores could be detected; however, for the positive sample of genotype II ASFV, only FAM fluorophore could be detected (Fig. 1-B).

The standard curve test revealed that for the standard plasmids of genotype I ASFV, the slopes were -3.3825 for Cy5 and -3.1906 for FAM; the correlation coefficient R2 was 0.999 for Cy5 and 0.998 for FAM; the amplification efficiency was 97.53% for Cy5 and 100.06 for FAM, respectively (Fig. 1-C); for the standard plasmids of genotype II ASFV, the slope was -3.2983 for FAM, the correlation coefficient R2 was 0.992 for FAM, the amplification efficiency was 100.01% for FAM, whereas Cy5 fluorophore could not be detected (Fig. 1-C). In addition, the sensitivity of the duplex ARMS-qPCR was 10 copies per reaction for both genotype I and genotype II ASFVs (Fig. 1-D). Thus, these results indicated that the duplex ARMS-qPCR assay has high efficiency and sensitivity.

We then evaluated the specificity of the duplex ARMS-qPCR. The nucleic acids of 7 other swine viruses, including PRRSV, CSFV, PRV, PCV2, PEDV, TGEV, and PoRV, were used as templates. 3 amplification curves were obtained for genotype I ASFV (FAM and Cy5 signals) and II ASFV (FAM signal), whereas no amplification curve was recorded for the nucleic acids of PRRSV, CSFV, PRV, PCV2, PEDV, TGEV, and PoRV, as well as genotype II ASFV (Cy5 signal) and ddH2O (Fig. 1-E). The results demonstrated that the duplex ARMS-qPCR has a good specificity without cross-reactivity with other swine viruses.

The results of the stable detection limit test showed that for the standard plasmids of genotype I ASFV, all 12 replicates were tested positive at the dilution of 10 copies, while 7/12 replicates were tested positive at the dilution of 5 copies (Fig.  1-F); for the standard plasmids of genotype II ASFV, all 12 replicates were tested positive at the dilution of 10 copies, while 6/12 replicates were tested positive at the dilution of 1 copy (Fig. 1-F). Thus, the stable detection limit of the duplex ARMS-qPCR was 10 copies per reaction for both genotypes I and II ASFVs (Fig. 1-F).

We further assessed the repeatability and reproducibility of the duplex ARMS-qPCR. The assay tested the standard plasmids of 3 concentrations (106, 104, and 102 copies). For the standard plasmids of genotype I ASFV, the intra- and inter-assay variation (CV) of Ct value for the duplex ARMS-qPCR ranged from 0.07 to 0.93% and 1.2 to 2.17% in FAM fluorescence channel and from 0.38 to 1.02 and 0.85% to 1.27% in Cy5 fluorescence channel, respectively (Table 1). For the standard plasmids of genotype II ASFV, the intra- and inter-assay variation (CV) of Ct value for the duplex ARMS-qPCR ranged from 0.27 to 0.61% and 0.77 to 1.07% in FAM fluorescence channel (Table 1). These findings suggested that the duplex ARMS-qPCR assay has satisfactory repeatability and reproducibility.

Finally, we evaluated the duplex ARMS-qPCR compared with WOAH-qPCR. 40 samples were detected using both assays, including blood, oral and rectal swabs, tissues, and cell cultures from pigs or PAMs infected by genotypes I and II ASFVs. Animal studies have evaluated the virulence and transmissibility of genotype I ASFV SD/DY-I/21 and genotype II virus HLJ/18 (Zhao et al. 2019; Sun et al. 2021), respectively. The results showed that 36 samples, including 18 of genotype I ASFV and 18 of genotype II ASFV were detected to be positive and differentiated by the duplex ARMS-qPCR, which were consistent with the results of the WOAH-qPCR (Appendix C).

In summary, we developed a duplex ARMS-qPCR assay based on ASFV genotyping region of B646L gene, which can effectively differentiate genotypes I and II ASFVs. The assay had high sensitivity and specificity and exhibited good results in detecting samples, including blood, oral and rectal swabs, tissues, and cell culture. Whether our method could be used for differentiating other genotypes of ASFVs is needed for further evalution. However, just genotypes I and II ASFVs are spreading outside Africa. Thus, our method will provide an additional epidemiological investigation tool to implement effective ASFV control and prevention.

]]>
<![CDATA[Exploring the nano-fungicidal efficacy of green synthesized magnesium oxide nanoparticles (MgO NPs) on the development, physiology, and infection of carrot (Daucus carota L.) with Alternaria leaf blight (ALB): Molecular docking]]> In this research, green synthesized MgONPs from lemon fruit extracts and their fungicidal potential was evaluated against Alternaria dauci infection on carrot (Daucus carota L.) under greenhouse conditions.The scanning and transmission electron microscopy (SEM, TEM) and ultra-violet (UV) visible spectroscopy were used to validate and characterize MgONPs. The crystalline nature of MgONPs was determined using SAED (selected area electron diffraction). MgONPs triggered substantial antifungal activity against A. dauci when exposed to 50 and 100 mg L-1 concentrations but the higher antifungal potential was noticed in 100 mg L-1 under in-vitro conditions. In fungal inoculated plants, a marked decrease in growth, photosynthetic pigments, and an increase in phenol, proline contents, and defense-related enzymes of carrot were seen over control (Distilled water). However, foliar application of MgONPs at 50 and 100 mg L-1 resulted in significant improvement of plant growth, photosynthetic pigments, phenol and proline contents, and defense enzymes activity of carrots with and without A. dauci infection. Spraying of MgONPs at 100 mg L-1 had more plant length (17.11%), shoot dry weight (34.38%), plant fresh weight (20.46%), and root dry weight (49.09%) in carrots when challenged with A. dauci over inoculated control. The leaf blight indices and percent disease severity were also reduced in A. dauci inoculated plants when sprayed with MgONPs. The non-bonding interactions of Alternaria  genus protein with nanoparticles were studied using molecular docking.

]]>
<![CDATA[Prevalence and ecological factors affecting the distribution of plant-parasitic nematodes in <em>Prunus groves</em> in Spain]]> A wide survey was conducted to study plant-parasitic nematodes (PPNs) associated with Prunus groves in Spain. This research aimed to determine the prevalence and distribution of PPNs in Prunus groves, as well as the influence of explanatory variables describing soil, climate and agricultural management in structuring the variation of PPNs community composition. A total of 218 sampling sites were surveyed and 84 PPN species belonging to 32 genera were identified based of an integrative taxonomic approach. PPNs species considered as potential limiting factors in Prunus production, such as Meloidogyne arenaria, M. incognita, M. javanica, Pratylenchus penetrans and P. vulnus, were identified in this survey. Seven soil physico-chemical (C, Mg, N, Na, OM, P, pH and clay, loamy sand and sandy loam texture classes), four climate (Bio04, Bio05, Bio13 and Bio14) and four agricultural management variables (grove-use history less than 10 years, irrigation, apricot seedling rootstock, and Montclar rootstock) were identified as the most influential variables driving spatial patterns of PPNs communities. In particular, younger plantations showed higher values for species richness and diversity indices than groves cultivated for more than 20 years with Prunus spp. Our study increases the knowledge of the distribution and prevalence of PPNs associated with Prunus rhizosphere, as well as on the influence of explanatory variables driving the spatial structure PPNs communities, which has important implications for the successful design of sustainable management strategies in the future in this agricultural system. 

]]>
<![CDATA[Characterization of volatile organic compounds in grafted tomato plants upon potyvirus necrotic infection]]> A headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME/GC-MS) method was used to study the volatile organic compounds (VOCs) associated with the differential immune response of tomato plants infected with the recombinant strain of potato virus Y (PVYC-to), necrogenic to tomato. Analysis was carried out in UC82 (UC), a virus susceptible tomato variety, comparing the same UC plants grafted or not onto a virus tolerant tomato ecotype, Manduria (Ma); the three types of samples used for the GC-MS analysis were mock-inoculated UC/Ma plants, UC/Ma+PVYC-to and UC+PVYC-to plants; the VOCs obtained were 111. Results from symptomatic PVYC-to-infected UC plants showed a VOCs composition enriched in alcohols, fatty acid derivates, benzenoids, and salicylic acid derivatives, while in mock-(UC/Ma)-inoculated plants VOCs were mainly characterized by methyl ester compounds. The VOC profile was in line with RNAseq data analyses, denoting that PVYC-to viral RNA accumulation and disease symptoms induce the specific transcriptional activation of genes involved in VOCs biosynthesis. Furthermore, principal component analysis highlighted that VOCs of PVYC-to-infected and mock-inoculated grafted plants were much closer each other than that of symptomatic PVYC-to-infected non-grafted UC plants. These results suggest that VOCs profiles of tomato plants are related to the viral RNA accumulation, disease intensity and graft-derived tolerance to PVYC-to infection.

]]>
<![CDATA[Advancing approach and toolbox in optimization of chloroplast genetic transformation technology]]> Chloroplast is a discrete, highly structured and semi-autonomous cellular organelle.  The small genome of chloroplast makes it a highly promising platform for synthetic biology.  As a special means of synthetic biology, chloroplast genetic engineering shows great potential in the reconstruction of a various sophisticated metabolic pathways within the plants for specific purposes, such as improvement of crop photosynthetic capacity and plant stress resistance, or synthesis of new drugs and vaccines.  However, many plant species are still of low efficiency or inability for chloroplast genetic transformation.  Hence, new transformation technologies and tools are being constantly developed.  In order to further expand and facilitate the application of chloroplast genetic engineering, this review summarizes the new technologies in chloroplast genetic transformation in recent years, and discusses the choice of appropriate synthetic biological elements for the construction of efficient chloroplast transformation vectors.

]]>
<![CDATA[Genome-wide association and linkage mapping strategies reveal genetic loci and candidate genes of important agronomic traits in Sichuan wheat]]>  Increasing wheat yield is a long-term goal for wheat breeders across the globe.  Exploiting elite genetic resources and dissecting the genetic basis of important agronomic traits in wheat are the necessary methods of approach for high-yield wheat breeding.  This study evaluated nine crucial agronomic traits found in a natural population of 156 wheat varieties and 77 landraces from Sichuan in seven environments over two years.  The results of the investigation of agronomic traits showed that the landraces had more tillers and higher kernel numbers per spike (KNS), while the breeding varieties had higher thousand kernel weight (TKW) and kernel weight per spike (KWS).  The generalized heritability (H2) of the nine agronomic traits varied from 0.74 to 0.95.  Structure analysis suggested that the natural population could be divided into three groups using 43198 single nucleotide polymorphism (SNP) markers from the wheat 55K SNP chip. A total of 67 quantitative trait loci (QTLs) were identified by the genome-wide association study (GWAS) analysis based on the Q+K method of a mixed linear model.  Three important QTLs were analyzed in this study. Four haplotypes of QFTN.sicau-7BL.1 for fertile tillers number (FTN), three haplotypes of QKNS.sicau-1AL.2 for KNS, and four haplotypes of QTKW.sicau-3BS.1 for TKW were detected, respectively.  FTN-Hap2, KNS-Hap1, and TKW-Hap2 were excellent haplotypes in each QTL based on the yield performance of the 42 varieties in regional trials from 2002 to 2013.  The varieties with three haplotypes showed the highest yield compared to those with two haplotypes and with one haplotype.  In addition, the KASP-AX-108866053 marker of QTL QKNS.sicau-1AL.2, based on the number of kernels per panicle, was successfully distinguished between three haplotypes (or alleles) in 63 varieties from regional trials between 2018 and 2021.  These genetic loci and reliable makers can be applied in a marker-assisted selection or map-based gene cloning for the genetic improvement of wheat yield. 

]]>
<![CDATA[A binary gridding path-planning method for plant-protecting UAVs on irregular fields]]> The use of plant-protecting Unmanned Aerial Vehicles (UAVs) for pesticide spraying is an essential operation in modern agriculture. The balance between reducing pesticide consumption and energy consumption is a significant focus of current research in the path-planning of plant-protecting UAVs. In this study, a binarization multi-objective model for the irregular field area, specifically an improved Non-dominated Sorting Genetic Algorithm–II based on the Knee Points and Plane Measurement (KPPM-NSGA-ii), is proposed. The binarization multi-objective model is applied to convex polygons, concave polygons and fields with complex terrain. The experiments demonstrated that the proposed KPPM-NSGA-ii can obtain better results than the unplanned path method whether the optimization of pesticide consumption or energy consumption is preferred. Hence, the proposed algorithm can save energy and pesticide usage and improve the efficiency in practical applications.

]]>
<![CDATA[The combination of NlMIP and Gαi/q coupled-receptor NlA10 promotes abdominal vibration production in female <em>Nilaparvata lugens</em> (Stål)]]> For various sexually mature insects, including the brown planthopper (BPH, Nilaparvata lugens), the abdominal vibration (AV) signal is the initiation of the mating process, and it is critical to the success of mating. Currently, there are few studies on the genetic and molecular mechanisms of AV regulation. Our previous AV-related transcriptomic study in female BPH identified myoinhibitory peptide (NlMIP) as a gene that potentially affects AV status in females, but how NlMIP signalling affects AV status remains unknown. In this study, we confirmed that NlMIP regulates AV production and mating behavior in female BPH. When the RNAi knockdown efficiency of NlMIP was 59.00%, the probability of females producing AV and the mating rate in 1 h decreased by 38.89 and 61.11%, respectively. In addition, six mature peptides of NlMIP were synthesized and they were able to regulate AV production and mating behavior in females, with NlMIP2 having the strongest effect. The A-family neuropeptide GPCR 10 (NlA10) was found to be a potential receptor for NlMIP based on a phylogenetic tree analysis and the fact that NlMIP mature peptides effectively activated NlA10. After NlA10 was knocked down, the probability of females producing AV and the mating rate in 1 h had reductions of 28.89 and 43.33%, respectively. When activated by NlMIP2, NlA10 coupled the Gαi/q signalling pathways, thereby inhibiting the downstream AC/cAMP/PKA, activating the PLC/Ca2+/PKC signalling pathways and then activating MEK1/2 in a cascade to mediate the phosphorylation of ERK1/2, and finally regulating the AV of females. These results provide a basis for the prevention and control of the brown planthopper pest by disrupting female AV.

]]>
<![CDATA[Nitrogen nutrition diagnosis for cotton under mulched drip irrigation using unmanned aerial vehicle multispectral images]]> Remote sensing has been increasingly used for precision nitrogen management to assess the plant nitrogen status in a spatial and real-time manner. The nitrogen nutrition index (NNI) can quantitatively describe the nitrogen status of crops. Nevertheless, the NNI diagnosis for cotton with unmanned aerial vehicle (UAV) multispectral images has not been evaluated yet. This study aimed to evaluate the performance of three machine learning models, i.e., support vector machine (SVM), back propagation neural network (BPNN), and extreme gradient boosting (XGB) for predicting canopy nitrogen weight and NNI of cotton over the whole growing season from UAV images. The results indicated that the models performed better when the top 15 vegetation indices were used as input variables based on their correlation ranking with nitrogen weight and NNI. The XGB model performed best among the three models in predicting nitrogen weight. The prediction accuracy of nitrogen weight at the upper half-leaf level (R2=0.89, RMSE=0.68 g m-2, RE=14.62% for calibration and R2=0.83, RMSE=1.08 g m-2, RE=19.71% for validation) was much better than that at the all-leaf level (R2=0.73, RMSE=2.20 g m-2, RE=26.70% for calibration and R2=0.70, RMSE=2.48 g m-2, RE=31.49% for validation) and at the plant level (R2=0.66, RMSE=4.46 g m-2, RE=30.96% for calibration and R2=0.63, RMSE=3.69 g m-2, RE=24.81% for validation). Similarly, the XGB model (R2=0.65, RMSE=0.09, RE=8.59% for calibration and R2=0.63, RMSE=0.09, RE=8.87% for validation) also outperformed the SVM model (R2=0.62, RMSE=0.10, RE=7.92% for calibration and R2=0.60, RMSE=0.09, RE=8.03% for validation) and BPNN model (R2=0.64, RMSE=0.09, RE=9.24% for calibration and R2=0.62, RMSE=0.09, RE=8.38% for validation) in predicting NNI. The NNI predictive map generated from the optimal XGB model can intuitively diagnose the spatial distribution and dynamics of nitrogen nutrition in cotton fields, which can help farmers implement precise cotton nitrogen management in a timely and accurate manner. 

]]>
<![CDATA[Effects of planting patterns plastic film mulching on soil temperature, moisture, functional bacteria and yield of winter wheat in the Loess Plateau of China]]> The yield of winter wheat is hindered by drought and low temperature in the Loess Plateau of China. Two common mulching methods to conserve soil moisture, ridge furrows with plastic film mulching (RP) and flat soil surfaces with plastic film mulching (FP) are helpful for wheat production. Our previous study indicated that FP could improve wheat yield more effectively than RP, but the reason remains unclear. The effect of mulching method on functional bacteria also needs to be further studied. In this study, winter wheat was employed to evaluate the impacts of mulching method on soil temperature, moisture content, microorganisms and grain yield. The results showed that FP had a warming effect when the soil temperature was low and a cooling effect when the temperature was too high. However, the ability to regulate soil temperature in the RP method was unstable and varied with year. The lowest negative accumulated soil temperature was found in the FP treatment, which was 20-89 and 43-99% lower than that of the RP and flat sowing with non-film mulching control (NP) treatments, respectively. Deep soil moisture was better transferred to topsoil for wheat growth in the FP and RP treatments than the NP treatment, which made the topsoil moisture in the two treatments (especially FP) more sufficient than that in the NP treatment during the early growing stage of wheat. However, due to the limited water resources in the study area, there was almost no difference between treatments in topsoil water storage during the later stage. The wheat yield in the FP treatment was significantly higher, by 12-16 and 23-56% respectively, than in the RP and NP treatments. Significant positive correlations were observed among the negative accumulated soil temperature, spike number and wheat yield. The Chao1 and Shannon indices in the RP treatment were 17 and 3.9% higher than those in the NP treatment, respectively. However, according to network relationship analysis, the interspecific relationships of bacteria were weakened in the RP treatment. Phosphorus solubilizing, ammonification and nitrification bacteria were more active in the RP than in the FP treatment, and microbes with nitrate reduction ability and plant pathogens were inhibited in the RP treatment, which improved nutrient availability and habitat for wheat.

]]>
<![CDATA[Maize straw application as an interlayer improves organic carbon and total nitrogen concentrations in the soil profile: A four-year experiment in a saline soil]]> Soil salinization is a critical environmental issue restricting agricultural production. Deep return of straw to the soil as an interlayer (at 40 cm depth) has been a popular practice to alleviate salt stress. However, the legacy effects of straw added as an interlayer at different rates on soil organic carbon (SOC) and total nitrogen (TN) in saline soils still remain inconclusive. Therefore, a four-year (2015-2018) field experiment was conducted with four levels (i.e., 0, 6, 12 and 18 Mg ha-1) of straw returned as an interlayer. Compared with no straw interlayer (CK), straw addition increased SOC concentration by 14-32 and 11-57% in the 20-40 cm and 40-60 cm soil layers, respectively. The increases in soil TN concentration (8-22% and 6-34% in the 20-40 and 40-60 cm soil layers, respectively) were lower than that for SOC concentration, which led to increased soil C:N ratio in the 20-60- cm soil depth. Increases in SOC and TN concentrations in the 20-60 cm soil layer with straw addition led to a decrease in stratification ratios (0-20:20-60 cm), which promoted uniform distributions of SOC and TN in the soil profile. Increases in SOC and TN concentrations were associated with soil salinity and moisture regulation and improved sunflower yield. Generally, compared with other treatments, the application of 12 Mg ha-1 straw had higher SOC, TN and C:N ratio, and lower soil stratification ratio in the 2015-2017 period. The results highlighted that legacy effects of straw application as an interlayer were maintained for at least four years, and demonstrated that deep soil straw application had a great potential for improving subsoil fertility in salt-affected soils.

]]>
<![CDATA[<p class="MsoNormal"> Dek219 encodes DICER-LIKE1 protein that affects chromatin accessibility and kernel development in maize]]> Chromatin accessibility plays a vital role in gene transcriptional regulation.  However, the regulatory mechanism of chromatin accessibility, as well as its regulation of crucial genes expression and kernel development in maize (Zea mays) are poorly understood.  In this study, we isolate a maize kernel mutant designated as defective kernel219 (dek219), which displays opaque endosperm and embryo abortion. Dek219 encodes DICER-LIKE1 (DCL1) protein, an essential enzyme in miRNA biogenesis.  Loss of function of Dek219 results in significant decreases in the expression levels of most miRNAs and histone genes. Further research showed that the Heat shock transcription factor17 (Hsf17)-Zm00001d016571 module may be one of the factors affecting the expression of histone genes.  Assay for transposase-accessible chromatin sequencing (ATAC-seq) indicates that the chromatin accessibility of dek219 is altered compared with that of wild type (WT), which may regulate the expression of crucial genes in kernel development.  By analyzing differentially expressed genes (DEGs) and differential accessible chromatin regions (ACRs) between WT and dek219, we identify 119 candidate genes that are regulated by chromatin accessibility, including reported crucial genes for kernel development.  Taken together, these results suggest that Dek219 affects chromatin accessibility and crucial genes expression, is required for maize kernel development.

]]>
<![CDATA[Soil conditioners improve Cd-contaminated farmland soil microbial communities to inhibit Cd accumulation in rice]]> The addition of silicon (Si) and organic fertilizers to soil conditioners can inhibit the transfer of heavy metal ions from soil to crops. However, it is not clear how Si and organic fertilizers affect soil properties and the micro-ecological environment and thereby reduce cadmium (Cd) accumulation in rice. In this study, the effects of L-type soil conditioners containing Si and organic fertilizers on bacterial and fungal community diversity, soil pH, organic matter, and available Si were analyzed with field experiments at two sites. With the increase of Si and organic fertilizer content in soil conditioner, rice yield respectively increased by 16.8-25.8% and 6.8-13.1%, and rice Cd content decreased significantly by 8.2-21.1% and 10.8-40.6%, respectively, at the two experimental sites. Soil microbiome analysis showed that the increase in abundance of Firmicutes and Actinobacteriota bacteria associated with Cd adsorption and sequestration and Basidiomycota fungal populations associated with degradation of macromolecules favored the inhibition of soil Cd activity (soil exchangeable Cd decreased by 14.4-14.8% and 18.1-20.6%). This was associated with an increase in organic matter and Si content caused by applying soil conditioners. In conclusion, L-type soil conditioners, rich in Si and organic fertilizer, can reduce soil Cd bioavailability by regulating the dominant Cd passivating flora in the soil and ultimately reduce Cd accumulation in rice.

]]>
<![CDATA[A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery]]>  The accurate and rapid estimation of canopy nitrogen content (CNC) in crops is the key to optimizing in-season nitrogen fertilizer application in precision agriculture. However, the determination of CNC from field sampling data for leaf area index (LAI), canopy photosynthetic pigments (CPP; including chlorophyll a, chlorophyll b and carotenoids) and leaf nitrogen concentration (LNC) can be time-consuming and costly. Here we evaluated the use of high-precision unmanned aerial vehicle (UAV) multispectral imagery for estimating the LAI, CPP and CNC of winter wheat over the whole growth period. A total of 23 spectral features (SFs; five original spectrum bands, 17 vegetation indices and the gray scale of the RGB image) and eight texture features (TFs; contrast, entropy, variance, mean, homogeneity, dissimilarity, second moment, and correlation) were selected as inputs for the models. Six machine learning methods, i.e., multiple stepwise regression (MSR), support vector regression (SVR), gradient boosting decision tree (GBDT), Gaussian process regression (GPR), back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were compared for the retrieval of winter wheat LAI, CPP and CNC values, and a double-layer model was proposed for estimating CNC based on LAI and CPP. The results showed that the inversion of winter wheat LAI, CPP and CNC by the combination of SFs+TFs greatly improved the estimation accuracy compared with that by using only the SFs. The RBFNN and BPNN models outperformed the other machine learning models in estimating winter wheat LAI, CPP and CNC. The proposed double-layer models (R2=0.67-0.89, RMSE=13.63-23.71 mg g-1, MAE=10.75-17.59 mg g-1) performed better than the direct inversion models (R2=0.61-0.80, RMSE=18.01-25.12 mg g-1, MAE=12.96-18.88 mg g-1) in estimating winter wheat CNC. The best winter wheat CNC accuracy was obtained by the double-layer RBFNN model with SFs+TFs as inputs (R2=0.89, RMSE=13.63 mg g-1, MAE=10.75 mg g-1). The results of this study can provide guidance for the accurate and rapid determination of winter wheat canopy nitrogen content in the field.

]]>
<![CDATA[Model fitting of the seasonal population dynamics of the soybean aphid, Aphis glycines Matsumura, in the field]]> The soybean aphid, Aphis glycines Matsumura (Hemiptera: Aphididae), is one of the greatest threats to soybean production, and both trend analysis and periodic analysis of its population dynamics are important for integrated pest management (IPM). Based on systematically investigating soybean aphid populations in the field from 2018 to 2020, this study adopted the inverse logistic model for the first time, and combined it with the classical logistic model to describe the changes in seasonal population abundance from colonization to extinction in the field. Then, the increasing and decreasing phases of the population fluctuation were divided by calculating the inflection points of the models, which exhibited distinct seasonal trends of the soybean aphid populations in each year. In addition, multifactor logistic models were then established for the first time, in which the abundance of soybean aphids in the field changed with time and relevant environmental conditions. This model enabled the prediction of instantaneous aphid abundance at a given time based on relevant meteorological data. Taken as a whole, the successful approaches implemented in this study could be used to build a theoretical framework for practical IPM strategies for controlling soybean aphids.

]]>
<![CDATA[<p class="MsoNormal" align="justify" style="text-align:justify;"> Diurnal emission of herbivore-induced (<i>Z</i>)-3-hexenyl acetate and <i>allo</i>-ocimene activates sweetpotato defense responses to sweetpotato weevils]]> The sweet potato weevil (Cylas formicarius (Fab.) (Coleoptera: Brentidae)) is a pest that feeds on sweet potato (Ipomoea batatas (L.) Lam. (Solanales: Convolvulaceae)), causing substantial economic losses annually. However, no safe and effective methods have been found to protect sweet potato from this pest. Herbivore-induced plant volatiles (HIPVs) promote various defensive bioactivities, but their formation and the defense mechanisms in sweet potato have not been investigated. To identify the defensive HIPVs in sweet potato, the release dynamics of volatiles was monitored. The biosynthetic pathways and regulatory factors of the candidate HIPVs were revealed via stable isotope tracing and analyses at the transcriptional and metabolic levels. Finally, the anti-insect activities and the defense mechanisms of the gaseous candidates were evaluated. The production of (Z)-3-hexenyl acetate (z3HAC) and allo-ocimene was induced by sweet potato weevil feeding, with a distinct circadian rhythm. Ipomoea batatas ocimene synthase (IbOS) is first reported here as a key gene in allo-ocimene synthesis. Insect-induced wounding promoted the production of the substrate, (Z)-3-hexenol, and upregulated the expression of IbOS, which resulted in higher contents of z3HAC and allo-ocimene, respectively. Gaseous z3HAC and allo-ocimene primed nearby plants to defend themselves against sweet potato weevils. These results provide important data regarding the formation, regulation, and signal transduction mechanisms of defensive volatiles in sweet potato, with potential implications for improving sweet potato weevil management strategies.

]]>
<![CDATA[<p class="MsoNormal"> Transcriptome-based analysis of key genes and pathways affecting the linoleic acid content in chickens]]> Linoleic acid is an essential polyunsaturated fatty acid that cannot be synthesized by humans or animals themselves and can only be obtained externally. The amount of linoleic acid present has an impact on the quality and flavour of meat and indirectly affects consumer preference. However, the molecular mechanisms influencing the deposition of linoleic acid in organisms are not clear. As the molecular mechanisms of linoleic acid deposition are not well understood, to investigate the main effector genes affecting the linoleic acid content, this study aimed to screen for hub genes in slow-type yellow-feathered chickens by transcriptome sequencing (RNA-Seq) and weighted gene coexpression network analysis (WGCNA). We screened for candidate genes associated with the linoleic acid content in slow-type yellow-feathered broilers. Three hundred ninety-nine Tiannong partridge chickens were slaughtered at 126 days of age, fatty acid levels were measured in pectoral muscle, and pectoral muscle tissue was collected for transcriptome sequencing. Transcriptome sequencing results were combined with phenotypes for WGCNA to screen for candidate genes. KEGG enrichment analysis was also performed on the genes that were significantly enriched in the modules with the highest correlation. After RNA-Seq-based quality control of 399 pectoral muscle tissues, 13, 310 genes were identified as being expressed. WGCNA was performed, and a total of 26 modules were obtained, eight of which were highly correlated with the linoleic acid content. Four key genes, namely, MDH2, ATP5B, RPL7A and PDGFRA, were screened according to the criteria |GS|>0.2 and |MM|>0.8. The functional enrichment results showed that the genes within the target modules were mainly enriched in metabolic pathways. In this study, a large-sample-size transcriptome analysis revealed that metabolic pathways play an important role in the regulation of the linoleic acid content in Tiannong partridge chickens, and MDH2, ATP5BRPL7A and PDGFRA were screened as important candidate genes affecting the linoleic acid content. The results of this study provide a theoretical basis for selecting molecular markers and comprehensively understanding the molecular mechanism affecting the linoleic acid content in muscle, providing an important reference for the breeding of slow-type yellow-feathered broiler chickens.

]]>
<![CDATA[<p class="MsoNormal"> MicroRNA-<span>370-5p</span> <span>inhibit</span>s pigmentation <span>and cell proliferation</span> by downregulating mitogen-activated protein kinase kinase kinase 8 <span>expression</span> <span>in sheep melanocyte</span>s]]> In mammals, microRNAs (miRNAs) play key roles in multiple biological processes by regulating the expression of target genes. Studies have found that the levels of miR-370-5p expression differ significantly in the skins of sheep with different hair color; however, its function remains unclear. In this study, we investigated the roles of miR-370-5p in sheep melanocytes and found that the overexpression of miR-370-5p significantly inhibited cell proliferation (P<0.01), tyrosinase activity (P=0.001)  and significantly reduced (P<0.001) melanin production. Functional prediction revealed that the 3′-untranslated region (UTR) of MAP3K8 has a putative miR-370-5p binding site, and the interaction between these two molecules was confirmed using luciferase reporter assays. In situ hybridization assays revealed that MAP3K8 is expressed in the cytoplasm of melanocytes. The results of quantitative RT-PCR and western blot analyses revealed that overexpression of miR-370-5p in melanocytes significantly inhibits (P<0.01) MAP3K8 expression via direct targeting of its 3′ UTR. Inhibition of MAP3K8 expression by siRNA-MAP3K8 transfection induced a significant inhibition (P<0.01) of melanocyte proliferation and significant reduction (P<0.001) in melanin production, which is consistent with our observations for miR-370-5p. Target gene rescue experiments indicated that the expression of MAP3K8 in melanocytes co-transfected with miR-370-5p and MAP3K8-cDNA (containing sites for the targeted binding to miR-370-5p) was significantly rescued (P≤0.001), which subsequently promoted significant increases in cell proliferation (P<0.001) and melanin production (P<0.01). Collectively, these findings indicate that miR-370-5p plays a functional role in inhibiting sheep melanocyte proliferation and melanogenesis by downregulating the expression of MAP3K8. 

]]>
<![CDATA[<i>BnaSD</i>.<i>C3</i> is a novel major quantitative trait locus affecting semi-dwarf architecture in <i>Brassica</i> <i>napus</i> L.]]> Plant height is a key plant architectural trait that affects seed yield, harvest index and lodging resistance in Brassica napus L., however, the genetic mechanisms affecting plant height remain elusive.  Here, a semi-dwarf mutant, df34, was obtained by ethyl methanesulphonate-mutagenized.  First, genetic analysis showed that the semi-dwarf phenotype was controlled by one semi-dominant gene, which was located on chromosome C03 using a bulked segregant analysis coupled with whole-genome sequencing and named BnaSD.C3.  Subsequently, BnaSD.C3 was fine-mapped to a 297.35-kb segment of the “Darmor-bzh” genome, but there was no potential candidate gene for the semi-dwarf trait underlying this interval.  Furthermore, the interval was aligned to the Zhongshuang 11 reference genome.  Finally, combining structural variation analysis, transcriptome sequencing, phytohormone analyses and gene annotation information, BnaC03G0466900ZS and BnaC03G0478900ZS were determined as the most likely candidate genes affecting plant height of df34.  This study provided a novel major locus for breeding and new insights into understanding the genetic architecture of plant height in B. napus.

]]>
<![CDATA[Integration of microRNAs and mRNAs reveals the hormones synthesis and signal transduction of maize under different N rates]]> The effect of nitrogen (N) fertilizer on the development of maize kernels has not yet been fully explored. MicroRNA-mRNA analyses could help advance our understanding of how kernels respond to N. In the present study, we analyze the morphological, physiological, and transcriptomic changes in maize kernels under different N rates (0, 100, 200, and 300 kg ha-1).  The result showed that increasing N application significantly increased the fresh weight and dry weight of maize grains, but these morphological indicators didn’t increase when N exceeded 200 kg ha-1.  In general, the contents of indole-3-acetic acid, cytokinin, and gibberellin increased, while ethylene content decreased with the increase in N application.  We obtained 31 differentially expressed genes (DEGs) in hormone synthesis and transduction, and 9 DEGs were regulated by 14 differentially expressed microRNAs (DEMIs) in 26 pairs.  The candidate DEGs and DEMIs provide valuable insight for the manipulation of grain filling under different N rates.

]]>
<![CDATA[SLAF marker based QTL mapping of fruit-related traits revealed a major-effect candidate locus ff2.1 for flesh firmness in melon]]> Flesh firmness (FF) is an important and complex trait for melon breeders and consumers; however, the genetic mechanism underlying FF is unclear. Here, P5 melon, whose fruit is soft, and P10 melon, whose fruit is hard, were crossed to generate F2s, and FF- and fruit-related traits were recorded for two years. By performing quantitative trait locus (QTL) specific-locus amplified fragment (SLAF) (QTL-SLAF) sequencing and molecular marker–linkage analysis, 112,844 SLAF markers were identified, and 5,919 SNPs were used to construct a genetic linkage map with a total genetic distance of 1356.49 cM. Ten FF- and fruit-related QTLs were identified. Consistent QTLs were detected for fruit length (FL) and fruit diameter (FD) in both years, and QTLs for single-fruit weight (SFW) were detected on two separate chromosomes in both years. For FF, the consistent major locus (ff2.1) was located in a 0.17 Mb candidate region on chromosome (Chr.) 2. Using 429 F2 individuals derived from a cross between P5 and P10, we defined the ff2.1 locus to a 28.3 kb region harbouring three functional genes.These results not only provide a new candidate QTL for melon FF breeding but also a theoretical foundation for research on the mechanism underlying melon gene function.

]]>
<![CDATA[Dissecting the key genomic regions underlying high-yielding potential in common wheat variety Kenong 9204]]> Foundation parents play key roles in the genetic improvement of both yield potential and end-use quality in wheat.  Characterizing the genetic basis underlying certain beneficial traits in foundation parents will provide theoretical reference for molecular breeding by design approach.  Kenong 9204 (KN9204) is a candidate foundation parent characterized by ideotype, high yield potential, and high nitrogen fertilizer utilization in particular.  To better understand its genetic basis of high-yielding potential, high throughput whole-genome re-sequencing (10×) were performed on KN9204, its parental lines as well as its derivatives.  A high-resolution genetic composition map of KN9204 was constructed, showing the parental origin of the favorable genomic segments based on the identification of excellent yield-related quantitative trait locus (QTL) from a bi-parental mapping population.  Xiaoyan 693, a wheat-Th. ponticum partial amphidiploid, contributed a great deal to high-yielding potential of KN9204, and four major stable QTL from Xiaoyan 693 were fine mapped.  The transmissibility of key genomic segments from KN9204 to its derivatives were specified, indicating that haplotype blocks containing beneficial gene combinations were conserved along with directional selection by breeders.  Evidence for selection sweeps in breeding programs was identified.  This study provides theoretical reference for breeding high-yielding wheat varieties by molecular design approach.

]]>
<![CDATA[Mitigating heat impacts on photosynthesis by irrigation during grain filling in the maize field]]> Elevating soil water content (SWC) through irrigation was one of the simple mitigation measures to improve crop resilience to heat stress.  The response of leaf function such as photosynthetic capacity based on chlorophyll fluorescence during the mitigation has received limited attention, especially in field condition. The 2-yr field experiment with three treatments (control treatment (CK); high temperature treatment (H); high temperature together with elevating SWC treatment (HW)) was carried out during grain filling with two maize hybrids at a typical station in North China Plain.  Averagely, the net photosynthetic rate (Pn) was improved by 20% in HW treatment and a 1-3°C decrease in canopy temperature compared with H treatment in two years. Furthermore, the higher SWC in HW treatment significantly improved actual photosynthetic rate (Phi2), linear electron flow (LEF), variable fluorescence (Fv) and maximal potential quantum efficiency (Fv/Fm) for both hybrids.  Meanwhile, different responses in chlorophyll fluorescence between hybrids were also observed.  The higher SWC in HW treatment significantly improved thylakoid proton conductivity (gH+) and maximal fluorescence (Fm) for the hybrid ZD958.  For the hybrid XY335, the proton conductivity of chloroplast ATP synthase (vH+) and minimal fluorescence (F0) was increased by the SWC.  The SEM model further showed that SWC had significantly positive relationships with Pn, LEF, and Fv/Fm.  The elevating SWC alleviated heat stress with the delayed leaf senescence to prolong the effective period of photosynthesis and enhanced leaf photosynthetic capacity by improving Phi2, LEF, Fv and Fv/Fm.  This research demonstrates that elevating SWC through enhancing leaf photosynthesis during grain filling would be an import mitigation measure to adapt to warming climate in maize production.

]]>
<![CDATA[Ensemble learning prediction of soybean yields in China based on meteorological data]]> The accurate prediction of soybean yield is of great significance for agricultural production, monitoring and early warning. Although previous studies have used machine learning algorithms to predict soybean yield based on meteorological data, it is not clear how different models can be used to effectively separate soybean meteorological yield from soybean yield in various regions. In addition, comprehensively integrating the advantages of various machine learning algorithms to improve the prediction accuracy through ensemble learning algorithms has not been studied in depth. This study used and analyzed various daily meteorological data and soybean yield data from 173 county-level administrative regions and meteorological stations in two principal soybean planting areas in China (Northeast China and the Huang-Huai plain), covering 34 years. Three effective machine learning algorithms (K-nearest neighbors, random forest, and support vector machine) were adopted as the base-models to establish a high-precision and highly-reliable soybean meteorological yield prediction model based on the Stacking Ensemble Learning framework. The model’s generalizability was further improved through 5-fold cross-validation, and the model was optimized by principal component analysis and hyperparametric optimization. The accuracy of the model was evaluated by using the five-year sliding prediction and four regression indicators of the 173 counties, which showed that the Stacking model has higher accuracy and stronger robustness. The 5-year sliding estimations of soybean yield based on the Stacking model in 173 counties showed that the prediction effect can reflect the spatiotemporal distribution of soybean yield in detail, and the MAPE was less than 5%. The Stacking prediction model of soybean meteorological yield provides a new approach for accurately predicting soybean yield.

]]>
<![CDATA[Can food security and low carbon be achieved simultaneously? —An empirical analysis of the mechanisms influencing the carbon footprint of potato and maize cultivation in irrigation areas]]> Irrigated agriculture has tripled since 1950, accounting for 20% of the global arable land and 40% of food production. Irrigated agriculture increases food security, yet has controversial implications for global climate change. Most of the previous studies have calculated carbon emissions and their composition in irrigated areas using the engineering approach to life-cycle assessment. By combining life cycle assessment (LCA)-based carbon emissions accounting with econometric model such as multiple linear regression and structural equation modelling (SEM), we conducted an interdisciplinary study to identify the influencing factors and internal mechanisms of the carbon footprint (CFP) of smallholder crop cultivation on irrigation reform pilot areas. To this end, we investigated corn and potato production data in the crop year 2019–2020 for 852 plots of 345 rural households in six villages (two irrigation agriculture pilot villages and four surrounding villages as controls) in Southwest of China. The crop CFP in the irrigation agriculture pilot areas were significantly lower than those in the non-reform areas. Irrigation reforms mainly impacted the crop CFP through four intermediary effects: the project (implementation of field irrigation channels), technology (improving adoption of new irrigation technologies), management (proper irrigation operation and maintenance), and yield effects. All effects, except for the project effect, which promotes carbon emissions, inhibited the CFP. Among them, yield increase has the greatest impact on reducing CFP, followed by management effect, and finally technology effect. Furthermore, planting practices, individual characteristics, and plot quality had a significant impact on the crop CFP. This study has policy implications for understanding the food security–climate nexus in the food production industry.

]]>
<![CDATA[Differential metabolites and transcriptional regulation of seven major tea cultivars (<em>Camellia sinensis</em>) in China]]> Various genetic and biochemical characteristics exist in tea plant cultivars, which largely determine production suitability and tea quality. Here, we performed transcriptomic and metabolomic analyses of young shoots of seven tea cultivars and identified major regulatory transcription factors (TFs) for the characteristic metabolites in different cultivars based on WGCNA. Phenotypically, we found that TGY and FJSX suitable for oolong tea had higher catechin contents. The metabolites of JX were more prominent, especially the contents of phenolic acids, flavonoids, terpenes, and tannins, which were higher than those of the other six cultivars. Moreover, FDDB suitable for white tea was rich in amino acids, linolenic acid, and saccharides. At the molecular level, it was found that HCT (CsTGY12G0001876, CsTGY06G0003042) led to the accumulation of chlorogenic acid in TGY. The main reason for the higher l-ascorbic acid content in FJSX was the high expression of GalLDH (CsTGY13G0000389) and MIOX (CsTGY14G0001769, CsTGY14G0001770), which were regulated by WRKY (CsTGY11G0001197). Furthermore, FDDB, LJ43, SCZ, and BHZ had higher free fatty acid contents, among which MYB (CsTGY14G0002344) may be a hub gene for the regulation of palmitoleic acid accumulation. More importantly, we found that the shoots of TGY were green with purple, mainly due to the accumulation of anthocyanins and the downregulation of the MPEC (CsTGY10G0001989) gene that affected chlorophyll synthesis. These results will provide a theoretical reference for tea cultivar breeding and suitability.

]]>
<![CDATA[A single nucleotide substitution in the MATE transporter gene regulates plastochron and many noded dwarf phenotype in barley (<i>Hordeum</i> <i>vulgare</i> L.)]]> In higher plants, the shoot apical meristem produces lateral organs in a regular spacing (phyllotaxy) and timing (plastochron).  Molecular analysis of mutants associated with phyllotaxy and plastochron would increase understanding of the mechanism of shoot architecture.  In this study, we identified mutant mnd8ynp5 showing an increased rate of leaf emergence, larger number of nodes in combination with a dwarfed growth habit from an EMS-treated population of the elite barley cultivar Yangnongpi 5.  Using a map-based cloning strategy, the mnd8 gene was narrowed down to a 6.7-kb genomic interval on the long arm of chromosome 5H. Sequence analysis revealed that a C to T single-nucleotide mutation happened at the first exon (position 953) of HORVU5Hr1G118820, leading to an Alamine (Ala) to Valine (Val) substitution at 318th amino acid site.  Next, HORVU5Hr1G118820 was defined as the candidate gene of MND8 encoding 514 amino acids and containing two multidrug and toxic compound extrusion (MATE) domains, which is highly homologous to maize Bige1 and has a conserved function in regulation of plant development by controlling leaf initiation rate.  Examination of modern barely varieties showed that the Hap-1 was the dominant haplotype and was selected in barley breeding across the world.  Collectively, our results indicated that the mnd8ynp5 was a novel allele of HORVU5Hr1G118820 gene that was possibly responsible for shortened plastochron and many noded dwarf phenotype in barley.

]]>
<![CDATA[A stable and major QTL region on chromosome 2 conditions pod shape in cultivated peanut (<em>Arachis </em><em>hyopgaea </em>L.)]]> Peanut pod shape is a heritable trait which affects the market acceptance of in-shell peanut products.  In order to determine the genetic control of pod shape, six component traits of pod shape including pod length, pod width, pod length/width ratio, pod roundness, beak degree and constriction degree were measured using an image-based phenotyping method.  A recombinant inbred line (RIL) population consisting of 181 lines was phenotyped across three environments.  Continuous distributions and transgressive segregations were deomstrated in all measured traits and environments.  Significant correlations were found among most component traits with broad-sense heritability ranging from 0.87 to 0.95.  Quantitative trait locus (QTL) analysis yielded 26 additive QTLs explaining 3.79 to 52.37% phenotypic variations.  A novel stable and major QTL region conditioning multiple shape features was detected on chromosome 2 spanning a 10.81-Mb genomic region with 543 putative genes. Bioinformatics analysis revealed several candidate genes in this region.  In addition, 73 pairs of epistatic interactions involving 92 loci were identified for six component traits explaining 0.94-6.45% phenotypic variations.  These results provide new genetic loci s to facilitate genomics-assisted breeding of peanut pod shape.

]]>
<![CDATA[Analysis of genetic diversity and population structure in sweetpotato using SSR markers]]> Sweetpotato, Ipomoea batatas (L.) Lam., is an important food crop worldwide.  Large scale evaluation of sweetpotato germplasm for genetic diversity is necessary to analyze the genetic relationship between them and make effective use of them in genetic improvement of this crop.  In this study, the genetic diversity of 617 sweetpotato accessions, including 376 landraces and 162 bred varieties from China and 79 introduced varieties from other 11 countries, was assessed using 30 simple sequence repeat (SSR) primer pairs with high polymorphism.  Based on the population structure analysis, these sweetpotato accessions were divided into three groups, Group 1, Group 2 and Group 3, which contained 228, 136 and 253 accessions, respectively.  The consistent results were obtained by phylogenic analysis and principal coordinate analysis (PCoA).  Of the three groups, Group 2 showed the highest level of genetic diversity and were mainly distributed in low-latitude regions.  The accessions from South China exhibited the highest level of genetic diversity, which support the hypothesis that Fujian and Guangdong were the earliest regions where sweetpotato was introduced to China.  Analysis of molecular variance (AMOVA) indicated that there were significant genetic differentiations between different groups, but low levels of genetic differentiations existed between different origins and accession types.  These results provide valuable information for the better utilization of these accessions in sweetpotato breeding.

]]>
<![CDATA[Modelling crop yield gap with remote sensing-based process model: a case study of winter wheat in the North China Plain]]> Understanding the spatial distribution of the crop yield gap (YG) is essential for improving crop yields.  Current studies have typically focused on the site scale and may lead to considerable uncertainties when scaled to the regional scale. To mitigate this issue, this study used a Process-based and Remote sensing driven crop Yield Model for winter Wheat (PRYM-Wheat), which is evolved from the boreal ecosystem productivity simulator (BEPS), to simulate the YG of winter wheat in the North China Plain from 2015 to 2019. Yield validation by statistical yield data revealed good performance of PRYM-Wheat model in simulating winter wheat actual yield (Ya). The distribution of Ya showed a great difference, decreasing from southeast to northwest. The remote sensing-estimated results show that the average YG of the study area was 6400.6 kg ha-1. YG of Jiangsu province was the largest, which was 7307.4 kg ha-1. In contrast, YG of Anhui province was the smallest, which was 5842.1 kg ha-1. By analyzing the response of YG to environmental factors, it is found that no obvious correlation between YG and precipitation, but there was a weak negative correlation between YG and accumulated temperature. In addition, YG was positively correlated with elevation. In general, studying the YG can provide directions for increasing crop yields in the future.

]]>
<![CDATA[Effect of delayed sowing on grain number, grain weight, and protein concentration of wheat grains at specific positions within spikes]]>  Delays in sowing have significant effects on grain yield, yield components, and grain protein concentrations of winter wheat.  However, little is known about how delayed sowing affects these characteristics at different positions in wheat spikes.  In this study, the effects of sowing date were investigated in a winter wheat cultivar, Shannong 30, which was sown in 2019 and 2020 on October 8 (normal sowing) and October 22 (late sowing) under field conditions.  Delayed sowing increased the partitioning of 13C-assimilates to spikes, particularly to florets at the apical section of a spike and those occupying distal positions on the same spikelet.  Consequently, the increase in grain number was greatest for apical sections, followed by the basal and central sections.  No significant differences were observed in superior grain number in the basal and central sections between sowing dates, while the number in apical sections was significantly different.  The number of inferior grains in each section also substantially increased in response to delayed sowing.  Average grain weight in all sections remained unchanged under delayed sowing because there was a parallel increase in grain number and 13C-assimilate partitioning to grains at specific positions in the spikes.  Increases in grain number m-2 resulted in reduced grain protein concentration as the limited nitrogen supply was diluted into more grains.  Delayed sowing caused the greatest decrease in grain protein concentration in basal sections, followed by the central and apical sections.  No significant differences in the reduction in grain protein concentration were observed between inferior and superior grains under delayed sowing.  In conclusion, a 2-week delay in sowing improved grain yield through increased grain number per spike, which originated principally from increased grain number in the apical sections of spikes and in distal positions on the same spikelet.  However, grain protein concentrations decreased in each section because of increased grain number and reduced N uptake.

]]>
<![CDATA[Rapid identification of <i>Psathyrostachys</i> <i>huashanica</i> Keng chromosomes in wheat background based on ND-FISH and SNP array methods]]> Psathyrostachys huashanica Keng (2n=2x=14, NsNs) is regarded as a valuable wild relative species for common wheat cultivar improvement because of its abundant beneficial agronomic traits.  However, although the development of many wheat-P. huashanica derived lines provides a germplasm base for the transfer of excellent traits, the lag in the identification of P. huashanica chromosomes in the wheat background has limited the study of these lines.  In this study, three novel nondenaturing fluorescence in situ hybridization (ND-FISH)-positive oligo probes were developed.  Among them, HS-TZ3 and HS-TZ4 could specifically hybridize with P. huashanica chromosomes mainly in the telomere area, and HS-CHTZ5 could hybridize with the chromosomal centromere area.  We sequentially constructed a P. huashanica FISH karyotype and idiogram that were helpful for identifying the homologous groups of introduced P. huashanica chromosomes.  In detail, 1Ns and 2Ns had opposite signals on the short and long arms, 3Ns, 4Ns and 7Ns had superposed two-colour signals, 5Ns and 6Ns had fluorescent signals only on their short arms, and 7Ns had signals on the intercalary of the long arm.  In addition, we evaluated different ways to identify alien introgression lines by using low-density single nucleotide polymorphism (SNP) arrays and recommended the SNP homozygosity rate in each chromosome as a statistical pattern.  The 15K SNP array is widely applicable for addition, substitution and translocation lines, and the 40K SNP array is the most accurate for recognizing transposed intervals between wheat and alien chromosomes.  Our research provided convenient methods to distinguish the homologous group of P. huashanica chromosomes in a common wheat background based on ND-FISH and SNP arrays, which is of great significance for the efficient identification of wheat-P. huashanica derived lines and the further application of Ns chromosomes.

]]>
<![CDATA[Degradation Effects on Dichlorvos by a Biocontrol Strain, <em>Trichoderma atroviride</em> T23]]> Trichoderma species as a biological control microorganism is often exposed to the chemical pesticides applied in environments, so it is necessary to understand the mechanism of degradation of dichlorvos by Trichoderma. In this study, dichlorvos significantly inhibited the growth, sporulation and pigmentation of T. atroviride T23, and the dichlorvos degradation activity of T23 required the initial induction effect of dichlorvos and the culture conditions, including the nutrient and pH values of the medium. Various changed primary and secondary metabolites released from T23 in the presence of dichlorvos were speculated as the energy and antioxidants for the strain itself to tolerate dichlorvos stress. The results showed that T23could produce a series of enzymes, especially the intracellular enzymes, to degrade dichlorvos. The activities of the intracellular enzyme generated by T23 were differentially changed along time course and especially relied on initial dichlorvos concentration, ammonium sulfate and phosphate added in the medium. In conclusion, some dichlorvos-induced chemical degradation related enzymes of T23 were proved to be involved in the degradation of dichlorvos.]]> <![CDATA[Histone H3K27me3 methylation regulates the expression of secreted proteins distributed at fast-evolving regions through transcriptional repression of transposable elements]]> The fine-tuned expression dynamics of the effector genes are pivotal for the transition from vegetative growth to host colonization of pathogenic filamentous fungi. However, mechanisms underlying the dynamic regulation of these genes remain largely unknown. Here, through comparative transcriptome and chromatin immunoprecipitation sequencing (ChIP-seq) analyses of the methyltransferase PoKmt6 in rice blast fungus Pyricularia oryzae (syn. Magnaporthe oryzae), we found that PoKmt6-mediated H3K27me3 deposition was enriched mainly at fast-evolving regions and contributed to the silencing of a subset of secreted proteins (SP) and transposable element (TE) families during the vegetative growth of P. oryzae. Intriguingly, we observed that a group of SP genes, which were depleted of H3K27me3 modification, could also be silenced via the H3K27me3-mediated repression of the nearby TEs. In conclusion, our results indicate that H3K27me3 modification mediated by PoKmt6 regulates the expression of some SP genes in fast-evolving regions through the suppression of nearby TEs.]]> <![CDATA[A novel pathogen<i> Fusarium cuneirostrum</i> causing common bean (<i>Phaseolus vulgaris</i>) root rot in China]]> Several fungal pathogens cause root rot of common bean, among which Fusarium spp. are the most common pathogens causing Fusarium root rot (FRR) worldwide. FRR has been becoming an increasingly severe disease of common bean in China, but the species of Fusarium spp. has remained unclear. Thus, this study was performed to identify the pathogen causing common bean root rot in Liangcheng County, Inner Mongolia. Nineteen Fusarium-like isolates were obtained after pathogen isolation and purification. The pathogenicity test indicated that eight isolates caused severe disease symptoms on common bean, while 11 other isolates were not pathogenic. The eight pathogenic isolates, FCL1-FCL8, were identified as Fusarium cuneirostrum by morphological characterization and phylogenetic analysis using partial sequences of EF-1α, ITS, 28S,and IGS regions. Host range test showed that the representative F. cuneirostrom isolate FCL3 were also pathogenic to mung bean, while not pathogenic to adzuki bean, chickpea, cowpea, faba bean, pea, and soybean. Moreover, 50 common bean and 50 mung bean cultivars were screened for resistance to FRR, and seven highly resistant or resistant cultivars of common bean were identified, while no resistant cultivars of mung bean were screened. This study revealed that F. cuneirostrum was one of common bean FRR pathogens in Inner Mongolia and it could induce mung bean root rot as well. To our knowledge, this is the first report of F. cuneirostrum causing FRR of common bean in China.

]]>
<![CDATA[Colonization by <i>Klebsiella variicola</i> FH-1 stimulates soybean growth and alleviates the stress of <i>Sclerotinia sclerotiorum</i>]]> Sclerotinia sclerotiorum, is a destructive soil-borne disease of Glycine max (L.) Merr that leads to huge yield loss. We previously reported that Klebsiella variicola FH-1 could degrade atrazine herbicides, and the vegetative growth of atrazine-sensitive crops (i.e., soybean) was significantly increased in the FH-1-treated soil. Interestingly, we found that FH-1 could promote soybean growth and induce resistance to S. sclerotiorum. In our study, strain FH-1 could grow in a nitrogen-free environment, dissolve inorganic phosphorus and potassium, and produce indoleacetic acid and a siderophore. The results of pot experiments showed that K. variicola FH-1 promoted soybean plant development, substantially improving plant height, fresh weight, and root length, and induced resistance against S. sclerotiorum infection in soybean leaves. The area under the disease progression curve (AUDPC) for treatment with strain FH-1 was significantly lower than the control and was reduced by up to 42.2% within 48 hours (P<0.001). Moreover, strain FH-1 rcovered the activities of catalase, superoxide dismutase, peroxidase, phenylalanine ammonia lyase, and polyphenol oxidase, which are involved in plant protection, and reduced malondialdehyde accumulation in the leaves. The mechanism of induction of resistance appeared to be primarily resulted from the enhancement of transcript levels of PR10, PR12, AOS, CHS, and PDF1.2 genes. The colonization of FH-1 on soybean root, determined using CLSM and SEM, revealed that FH-1 colonized soybean root surfaces, root hairs, and exodermis to form biofilms. In summary, K. variicola FH-1 exhibited the biological control potential by inducing resistance in soybean against S. sclerotiorum infection, and this provides new suggestions for green prevention and control.]]> <![CDATA[Host niche, genotype, and field location shape the diversity and composition of the soybean microbiome]]> Plant-associated microbes represent a key determinant of plant fitness through acquiring nutrients, promoting growth, and resisting to abiotic and biotic stresses. However, an extensive characterization of the bacterial and fungal microbiomes present in different plant compartments of soybean in field conditions has remained elusive. In this study,we investigated the effects of four niches (roots, stems, leaves, and pods), four genotypes (Andou203, Hedou12, Sanning16, and Zhonghuang13), and three field locations (Jining, Suzhou, and Xuzhou) on the diversity and composition of bacterial and fungal communities in soybean using 16S and internal transcribed spacer rRNA amplicon sequencing,respectively. The soybean microbiome significantly differed across organs.Host genotypes explained more variation in stem bacterial community composition and leaf fungal community composition.Field location significantly affected the composition of bacterial communities in all compartments and the effects were stronger in the root and stem than in the leaf and pod, whereas field location explained more variation in stem and leaf fungal community composition than in the root and pod. The relative abundances of potential soybean fungal pathogens also differed among host organs and genotypes, reflecting the niches of these microbes in the host and probably their compatibility to the host genotypes. Systematic profiling of the microbiome composition and diversity will aid the development of plant protection technologies to benefit soybean health.]]> <![CDATA[Optimization of slow-release fertilizer application improves lotus rhizome quality by affecting physicochemical properties of starch]]> To achieve the dual goals of high yield and good quality with low environmental costs, slow-release fertilizer (SRF) as new type of fertilizer has been widely used in lotus cultivation instead of traditional nitrogen fertilizer. However, which optimized content of SRF and how to promote lotus rhizome quality was remain unclear. This study was designed to investigate the photosynthetic characteristics and synthesis, accumulation, and physicochemical properties of lotus rhizome starches under six SRF levels (CK, S1, S2, S3, S4, S5). Compared with CK (0 kg∙ha-1 SRF), the Pn and SPAD value of leaves kept higher level under SRF treatment. Further research showed that SRF increased the lotus rhizome yield, amylose, amylopectin, total starch content, and the number of starch granule. Among the six SRF levels, S3 (1035 kg∙ha-1 SRF) caused the biggest difference compared to CK and kept the highest level. With the increasing SRF levels, the viscosities of peak, hot and final first decreased and then increased, but setback viscosity and pasting temperature increased. In order to interpret this change at the molecular level, the activities of key enzymes and relative expression of starch accumulation related genes were analyzed which showed that they were also increased under SRF treatment, especially under S3 treatment. In total, SRF, especially S3 (1035 kg∙ha-1 SRF) as suitable fertilizer ratio for lotus planting, could improve lotus rhizome quality by affecting starch accumulation related enzymes and genes. These results will be useful for applications of high-quality lotus rhizome production with low environmental costs.

]]>
<![CDATA[Signatures of positive selection for local adaptation of African Native Cattle populations: a review]]> Cattle are central to the lives and diverse cultures of African people. It has played a crucial role in providing valuable protein for billions of households and sources of income and employment for producers and other actors in the livestock value chains. The long-term natural selection of African cattle typically signals signatures in the genome, contributes to high genetic differentiations across breeds. This has enabled them to develop unique adaptive traits to cope with inadequate feed supply, high temperatures, high internal and external parasites, and diseases. However, these unique cattle genetic resources are threatened by indiscriminate cross-breeding, breed replacements with exotic cosmopolitan  breeds, and climate change pressures. Although there are no functional genomics studies, recent advancements in genotyping and sequencing technologies have identified and annotated limited functional genes and causal variants associated with unique adaptive and economical traits of African cattle populations. These genome-wide variants serve as candidates for breed improvement and support conservation efforts for endangered cattle breeds against future climate changes. Therefore, this review plans to collate comprehensive information on the identified selection footprints to support genomic studies in African cattle to confirm the validity of the results and provide a framework for further genetic association and QTL fine mapping studies.

]]>
<![CDATA[Construction of SNP genetic map based on targeted next-generation sequencing and QTL mapping of vital agronomic traits in faba bean (<em>Vicia faba</em> L.)]]>

The reference genome for faba bean (Vicia faba L.) is lacking because of its large genome size (~13 Gb), and the genetic and gene mapping studies on faba bean are far behind compared with those for other legumes.  In this study, we selected three purified faba bean lines (Yundou 8137, H0003712, and H000572) as parents and constructed two F2 populations.  And two F2 populations, namely 167 F2 plants in Pop1 (Yundou 8137×H0003712) and 204 F2 plants in Pop2 (H000572×Yundou 8137), were genotyped using a targeted next-generation sequencing (TNGS) genotyping platform, and two high-density single nucleotide polymorphisms (SNP) genetic linkage maps of faba bean were constructed.  The map constructed from Pop1 contained 5103 SNPs with a length of 1333.31 cM and an average marker density of 0.26 cM.  The map constructed from Pop2 contained 1904 SNPs with a greater length of 1610.61 cM. In these two F2 populations, Quantitative trait locus (QTL) mapping identified 98 QTLs for 14 agronomic traits related to flowers, pods, plant types and grains.  Then, the two maps were merged into an integrated genetic linkage map containing 6895 SNPs, with a length of 3324.48 cM.  These results not only lay the foundation for fine mapping and map-based cloning of related genes, but also can accelerate molecular marker-assisted breeding of faba bean.

]]>
<![CDATA[Comparative transcriptome and lipidome reveal that low K+ signal effectively alleviate the effect induced by Ca<sup>2+</sup> deficiency in fiber of cotton (<em>Gossypium hirsutum</em>)]]> Calcium (Ca2+) plays important roles in determining plant growth and development owing to its function in maintaining cell wall and membrane integrity.  Therefore, understanding the role of Ca2+ in carbon and lipid metabolism could provide insights into the dynamic changes of cell membranes and cell walls during rapid elongation of cotton fibers.  In the present study, we found that the lack of Ca2+ promoted fiber elongation and ovule rapid expansion, but also caused tissue browning in ovule culture system.  RNA-sequencing revealed that Ca2+ deficiency induced cells to be in a highly oxidized state, and the expression of genes related to carbon metabolism and lipid metabolism was activated significantly.  All gene members of 9 key enzymes involving in glycolysis were up-regulated, and glucose was significantly reduced in Ca2+ deficiency treated tissues.  Ca2+ deficiency adjusted the flowing of glycolysis metabolic.  However, low K+ recovered the expression levels of glycolysis genes and glucose content caused by Ca2+ deficiency.  Electrospray ionization-tandem mass spectrometry technology was applied to uncover the dynamic profile of lipidome under Ca2+ and K+ interacted condition.  Ca2+ deficiency led to the decrease of fatty acid (FA), diacylglycerol (DAG) and glycolipid, and the significant increase of triacylglycerol (TAG), phospholipid PE (phosphatidylethanolamine), PG (phosphatidylglycerol) and PC (phosphatidylcholine).  Low K+ restored the contents of FA, phospholipids and glycolipids, effectively relieved the symptoms caused by Ca2+ deficiency, and recovered the development of fiber cells.  This study revealed dynamic changes in transcript and metabolic levels, and uncovered the signaling interaction of Ca2+ deficiency and low K+ in glycolysis and lipid metabolism during fiber development.

]]>
<![CDATA[Effect of Bt traits on growth and weed competitiveness of transgenic rice]]> Bacillus thuringiensis (Bt) gene in rice will alter the relationship between transgene plants and weeds and induce undesirable environmental consequences are poorly understood. Thus, field experiments were conducted to investigate the weed competitiveness and assess the ecological risk of transgenic Bt rice under herbicide-free and lepidopterous pest controlled environment. Results showed that weed-rice competition in direct seeding field (DS) was earlier and more serious than that in transplanting field (TP), which resulted in the significant decrease of biomass and yield in DS. However, the yield between conventional Bt and non-Bt rice was not significant difference. The weed number, weed coverage ratio and weed diversity of conventional Bt rice were significantly higher than those of non-Bt rice at the early growth stage and mature stage, especially in DS plots, suggesting that Bt traits did not increase the weed competitiveness of transgenic rice and had no negative effect on weed diversity. Grain yield and weed number varied between different hybrid rice lines, but those differences were not significant between Bt and non-Bt rice. The number of insects increased with the increase of weeds in hybrid rice plots, whereas the insect number and diversity did not display a significant difference between Bt and non-Bt rice. Therefore, the ecological risk of transgenic Bt rice is comparable to non-Bt rice.]]> <![CDATA[A novel short transcript isoform of chicken IRF7 negatively regulates interferon-β production]]>  Type I interferon (IFN-I) provides an important first line to protect avian species against pathogens invasion. IFN regulatory factor 7 (IRF7) has been identified as the most important regulator for both DNA and RNA virus-induced IFN-I production in chickens. Although four splicing variants of IRF7 have been identified in mammals, it is still unclear whether alternative splicing patterns and the function of IRF7 isoform(s) exist in chickens. In this study, we reported a novel short transcript isoform of chicken IRF7 (chIRF7), termed chIRF7-iso, which contained an intact N-terminal DNA-binding domain (DBD) and 14 amino acids different from chIRF7 in the C-terminal. Overexpression of chIRF7 in chicken leghorn male hepatocellular (LMH) cells activated the IFN-β promoter and significantly inhibited Newcastle disease virus (NDV) and fowl adenovirus serotype 4 (FAdV-4) replication. Conversely, overexpression of chIRF7-iso blocked the IFN-β promoter activity and was favorable for NDV and FAdV-4 replication in vitro. Collectively, our results confirm that a novel chIRF7 isoform-mediated negative regulates IFN-β production, which will contribute to understanding the role of chIRF7 in innate antiviral response in chicken.

]]>
<![CDATA[Identification and expression analysis of sugar transporter family genes reveal the role of <em>ZmSTP2 </em>and <em>ZmSTP20 </em>in maize disease resistance]]> Sugar is an indispensable source of energy for plant growth and development, and it requires the participation of sugar transporter proteins (STPs) for crossing the hydrophobic barrier in plants. Here, we systematically identified the genes encoding sugar transporters in the genome of maize (Zea mays L.), analyzed their expression patterns under different conditions, and determined their functions in disease resistance. The results showed that the mazie sugar transporter family contained 24 members, all of which were predicted to be distributed on the cell membrane and had a highly conserved transmembrane transport domain. The tissue-specific expression of the maize sugar transporter genes was analyzed, and the expression level of these genes was found to be significantly different in different tissues. The analysis of biotic and abiotic stress data showed that the expression levels of the sugar transporter genes changed significantly under different stress factors. The expression levels of ZmSTP2 and ZmSTP20 continued to increase following Fusarium graminearum infection. By performing disease resistance analysis of zmstp2 and zmstp20 mutants, we found that after inoculation with Cochliobolus carbonum, Setosphaeria turcica, Cochliobolus heterostrophus, and F. graminearum, the lesion area of the mutants was significantly higher than that of the wild-type B73 plant. In this study, the genes encoding sugar transporters in maize were systematically identified and analyzed at the whole genome level. The expression patterns of the sugar transporter encoding genes in different tissues of maize and under biotic and abiotic stresses were revealed, which laid an important theoretical foundation for further elucidation of their functions.

]]>
<![CDATA[Immunogenetic basis of chicken’s Heterophil/Lymphocyte ratio revealed by genome-wide indel variants analysis]]> Enhancing host immunity is an effective way to reduce morbidity in chickens. Heterophil/lymphocyte (H/L) ratio is associated with host disease resistance in birds. Chickens with different H/L ratio levels show different disease resistances. However, the utility of the H/L ratio as an indicator of immune function remains to be analyzed. In this study, a H/L directional breeding chicken line (Jingxing yellow chicken) was constructed, which has been bred for 12 generations. We compared the function of heterophils, and combined statistical analysis to explore the candidate genes and pathways related to H/L ratio. The oxidative burst function of the heterophils isolated from the H/L selection line (G12) was increased (P=0.044) compared to the non-selection line (NS). The 22.44 Mb genomic regions which annotated 300 protein-coding genes were selected in the genome of G9 (n=92) compared to NS (n=92) based on a genome-wide selective sweep. Several selective regions were identified containing genes like interferon induced with helicase C domain 1 (IFIH1) and moesin (MSN) associated with the intracellular receptor signaling pathway, C-C motif chemokine receptor 6 (CCR6), dipeptidyl peptidase 4 (DPP4) and hemolytic complement (HC) associated with the negative regulation of leukocyte chemotaxis and tight junction protein 1 (TJP1) associated with actin cytoskeleton organization. In addition, 45 genome-wide significant indels containing 29 protein-coding genes were also identified as associated with the H/L ratio based on genome-wide association study (GWAS). The expression of protein tyrosine phosphatase non-receptor type 5 (PTPN5) (r=0.75, P=0.033) and oxysterol binding protein like 5 (OSBPL5) (r=0.89, P=0.0027) were positively correlated with H/L ratio. Compared to the high H/L ratio group, the expression of PTPN5 and OSBPL5 were decreased (P<0.05) in the low H/L group of Beijing-You chicken. The A/A allelic frequency of indel 5_13108985 (P=3.85E-06) within OSBPL5 gradually increased from the NS to G5 and G9, and the individuals with A/A exhibited lower H/L ratio than individuals with heterozygote A/ATCT (P=4.28E-04) and homozygous ATCT/ATCT (P=3.40E-05). Above results indicated oxidative burst function of heterophils were enhanced, and 22.44 Mb genomic regions were selected with the directional selection of H/L ratio. In addition, PTPN5 and OSBPL5 genes were identified as H/L ratio related candidate genes. These findings revealed the complex genetic mechanism of H/L ratio related to immunity and will allow selection for improving chicken immunity based on the H/L ratio.

]]>
<![CDATA[Inversion tillage with straw incorporation affects the patterns of soil microbial co-occurrence and multi-nutrient cycling in a Hapli-Udic Cambisol]]> Inversion tillage with straw amendment is widely applied in northeastern China, and it can substantially increase the storage of carbon and improve multiple subsoil functions. Soil microorganisms are believed to be the key to this process, but research into their role in subsoil amelioration is limited. Therefore, a field experiment was conducted in 2018 in a region in northeastern China with Hapli-Udic Cambisol using four treatments: conventional tillage (CT, tillage to a depth of 15 cm with no straw incorporation), straw incorporation with conventional tillage (SCT, tillage to a depth of 15 cm), inversion tillage (IT, tillage to a depth of 35 cm) and straw incorporation with inversion tillage (SIT, tillage to a depth of 35 cm). The soils were managed by inversion to a depth of 15 or 35 cm every year after harvest. The results indicated that SIT improved soil multi-nutrient cycling variables and increased the availability of key nutrients such as soil organic carbon, total nitrogen, available nitrogen, available phosphorus and available potassium in both the topsoil and subsoil. In contrast to CT and SCT, SIT created a looser microbial network structure but with highly centralized clusters by reducing the topological properties of average connectivity and node number, and by increasing the average path length and the modularity. A random forest analysis found that the average path length and the clustering coefficient were the main determinants of soil multi-nutrient cycling. These findings suggested that SIT can be an effective option for improving soil multi-nutrient cycling and the structure of microbial networks, and they provide crucial information about the microbial strategies that drive the decomposition of straw in Hapli-Udic Cambisol.

]]>
<![CDATA[Toxicity and horizontal transfer of bifenthrin and dimefluthrin against the red imported fire ant, <em>Solenopsis invicta</em> Buren (Hymenoptera: Formicidae), and the efficacy of their dust applications in the field]]> The red imported fire ant, Solenopsis invicta Buren, poses a significant threat to biodiversity, agriculture, and public health in its introduced ranges. While chemicals such as toxic baits and dust are the main methods for S. invicta control, toxic baits are slow, requiring approximately one or two weeks, but dust can eliminate the colony of fire ants rapidly in just three to five days. To explore more active ingredients for fire ant control using dusts, the toxicity of bifenthrin and dimefluthrin, the horizontal transfer of bifenthrin and dimefluthrin dust and their efficacy in the field were tested. The results showed that the LD50 (lethal dose) values of bifenthrin and dimefluthrin were 3.40 and 1.57 ng/ant, respectively. The KT50 (median knockdown time) and KT95 (95% knockdown time) values of a 20 μg mL-1 bifenthrin dose were 7.179 and 16.611 min, respectively. The KT50 and KT95 of a 5 μg mL-1 dimefluthrin dose were 1.538 and 2.825 min, respectively. The horizontal transfers of bifenthrin and dimefluthrin among workers were effective. The mortality of recipients (secondary mortality) and secondary recipients (tertiary mortality) were both over 80% at 48 h after 0.25, 0.50 and 1.00% bifenthrin dust treatments. The secondary mortality of recipients was over 99% at 48 h after 0.25, 0.50 and 1.00% dimefluthrin dust treatments, but the tertiary mortality was below 20%. The field trial results showed that both bifenthrin and dimefluthrin exhibited excellent fire ant control effects, and the comprehensive control effects of 1.00% bifenthrin and dimefluthrin dusts at 14 d post-treatment were 95.87 and 85.70%, respectively,.

]]>
<![CDATA[Significant reduction of ammonia emissions while increasing crop yields using the 4R nutrient stewardship in an intensive cropping system]]> Ammonia (NH3) emissions should be mitigated to improve environmental quality. Croplands are one of the largest NH3 sources, they must be managed properly to reduce its emissions while achieving the target yield. Herein, we report the NH3 emissions, crop yield and changes in soil fertility in a long-term trial with various fertilization regimes, to explore whether NH3 emissions can be significantly reduced using the 4R Nutrient Stewardship (4Rs), and its interaction with the organic amendments (i.e., manure and straw) in a wheat-maize rotation. Implementing the 4Rs significantly reduced NH3 emissions to 6 kg N ha-1 yr-1 and the emission factor to 1.72%, without compromising grain yield (12.37 Mg ha-1 yr-1) and soil fertility (soil organic carbon of 7.58 g kg-1) compared to the conventional chemical N management. When using the 4R plus manure, NH3 emissions (7 kg N ha-1 yr-1) and the emission factor (1.74%) were as low as 4Rs, and grain yield and soil organic carbon increased to 14.79 Mg ha-1 yr-1 and 10.09 g kg-1, respectively. Partial manure substitution not only significantly reduced NH3 emissions but also increased crop yields and improved soil fertility, compared to conventional chemical N management. Straw return exerted a minor effect on NH3 emissions. These results highlight that 4R plus manure, which couples nitrogen and carbon management can help achieve both high yields and low environmental costs.

]]>
<![CDATA[Carbon sequestration rate, nitrogen use efficiency and rice yield responses to long-term substitution of chemical fertilizer by organic manure in a rice-rice cropping system]]> Combined application of chemical fertilizers with organic amendments was recommended as a strategy for improving yield, soil carbon storage, and nutrient use efficiency. However, how the long-term substitution of chemical fertilizer with organic manure affects rice yield, carbon sequestration rate (CSR), and nitrogen use efficiency (NUE) while ensuring environmental safety remains unclear. This study assessed the long-term effect of substituting chemical fertilizer with organic manure on rice yield, CSR, and NUE. It also determined the optimum substitution ratio in the acidic soil of southern China. The treatments were: (i) NPK0, unfertilized control, (ii) NPK1, 100% chemical nitrogen, phosphorus, and potassium fertilizer, (iii) NPKM1, 70% chemical NPK fertilizer and 30% organic manure, (iv) NPKM2, 50% chemical NPK fertilizer and 50% organic manure, and (v) NPKM3, 30% chemical NPK fertilizer and 70% organic manure. Milk vetch and pig manure were sources of manure for early and late rice seasons, respectively. The result showed that SOC content was higher in NPKM1, NPKM2, and NPKM3 treatments than in NPK0 and NPK1 treatments. The carbon sequestration rate increased by 140, 160, and 280% under NPKM1, NPKM2, and NPKM3 treatments, respectively, compared to NPK1 treatment. Grain yield was 86.1, 93.1, 93.6, and 96.5% higher under NPK1, NPKM1, NPKM2, and NPKM3 treatments, respectively, compared to NPK0 treatment. The NUE in NPKM1, NPKM2, and NPKM3 treatments was higher as compared to NPK1 treatment for both rice seasons. Redundancy analysis revealed close positive relationships of CSR with C input, total N, soil C:N ratio, catalase, and humic acids, whereas NUE was closely related to grain yield, grain N content, and phenol oxidase. Furthermore, CSR and NUE negatively correlated with humin acid and soil C:P and N:P ratios. The technique for order of preference by similarity to ideal solution (TOPSIS) showed that NPKM3 treatment was the optimum strategy for improving CSR and NUE. Therefore, substituting 70% of chemical fertilizer with organic manure could be the best management option for increasing CSR and NUE in the paddy fields of southern China. 

]]>
<![CDATA[The potential of green manure to increase soil carbon sequestration and reduce the yield-scaled carbon footprint of rice production in southern China]]> Green manure (GM) has been used to support rice production in southern China for thousands of years. However, the effects of GM on soil carbon sequestration (CS) and the carbon footprint (CF) at a regional scale remain unclear. Therefore, we combined the datasets from long-term multisite experiments with a meta-analysis approach to quantify the potential of GM to increase the CS and reduce the CF of paddy soils in southern China. Compared with the fallow-rice practice, the GM-rice practice increased the soil C stock at a rate of 1.62 Mg CO2-eq ha-1 yr-1 and reduced chemical N application by 40% with no loss in the rice yield. The total CF varied from 7.51 to 13.66 Mg CO2-eq ha-1 yr-1 and was dominated by CH4 emissions (60.7%-81.3%). GM decreased the indirect CF by 31.4% but increased the direct CH4 emissions by 19.6%. In the low and high CH4 emission scenarios, the CH4 emission factors of GM (EFgc) were 5.58% and 21.31%, respectively. The greater soil CS offset the increase in GM-derived CF in the low CH4 scenario, but it could not offset the CF increase in the high CH4 scenario. A trade-off analysis also showed that GM can simultaneously increase the CS and reduce the total CF of the rice production system when the EFgc was less than 9.20%. The variation in EFgc was mainly regulated by the GM application rates and water management patterns. Determining the appropriate GM application rate and drainage pattern warrant further investigation to optimize the potential of the GM-rice system to increase the CS and reduce the total CF in China.

]]>
<![CDATA[Monitoring the little fire ant, <em>Wasmannia auropunctata</em> (Roger 1863), in the early stage of its invasion in China: predicting its geographical distribution pattern under climate change]]> Invasive alien ants (IAAs) are among the most aggressive, competitive, and widespread invasive alien species (IAS) worldwide. Wasmannia auropunctata, the greatest IAAs threat in the Pacific region and listed in “100 of the world’s worst IAS”, has established itself in many countries and on islands worldwide. Wild populations of W. auropunctata were recently reported in southeastern China, representing a tremendous potential threat to China’s agricultural, economic, environmental, public health, and social well-being. Estimating the potential geographical distribution (PGD) of W. auropunctata in China can illustrate areas that may potentially face invasion risk. Therefore, based on the global distribution records of W. auropunctata and bioclimatic variables, we predicted the geographical distribution pattern of W. auropunctata in China under the effects of climate change using an ensemble model (EM). Our findings showed that ANN, FDA, GBM, and RF were more accurate than CTA, GLM, SRE, and MaxEnt. The mean TSS values of ANN, FDA, GBM, and RF were 0.820, 0.810, 0.843, and 0.857, respectively, and the mean AUC values were 0.946, 0.954, 0.968, and 0.979, respectively.  The mean TSS and AUC values of EM were 0.882 and 0.972, respectively, indicating that the prediction results with EM were more reliable than those with the single model. The PGD of W. auropunctata in China is mainly located in southern China under current and future climate change. Under climate change, the PGD of W. auropunctata in China will expand to higher-latitude areas. The annual temperature range (bio7) and mean temperature of the warmest quarter (bio10) were the most significant variables affecting the PGD of W. auropunctata in China. The PGD of W. auropunctata in China was mainly attributed to temperature variables, such as the annual temperature range (bio7) and the mean temperature of the warmest quarter (bio10). The populations of W. auropunctata in southern China have broad potential invasion areas. Developing strategies for the early warning, monitoring, prevention, and control of W. auropunctata in southern China requires more attention.

]]>
<![CDATA[Accurate recognition of the reproductive development status and prediction of oviposition fecundity in <i>Spodoptera</i> <i>frugiperda</i> (Lepidoptera: Noctuidae) based on computer vision]]> Spodoptera frugiperda (Lepidoptera: Noctuidae) is an important migratory agricultural pest worldwide, which has invaded many countries in the Old World since 2016 and now poses a serious threat to world food security. The present monitoring and early warning strategies for the fall army worm (FAW) mainly focus on adult population density, but lack an information technology platform for precisely forecasting the reproductive dynamics of the adults. In this study, to identify the developmental status of the adults, we first utilized female ovarian images to extract and screen five features combined with the support vector machine (SVM) classifier and employed male testes images to obtain the testis circular features. Then, we established models for the relationship between oviposition dynamics and the developmental time of adult reproductive organs using laboratory tests. The results show that the accuracy of female ovary development stage determination reached 91%. The mean standard error (MSE) between the actual and predicted values of the ovarian developmental time was 0.2431, and the mean error rate between the actual and predicted values of the daily oviposition quantity was 12.38%. The error rate for the recognition of testis diameter was 3.25%, and the predicted and actual values of the testis developmental time in males had an MSE of 0.7734. A WeChat applet for identifying the reproductive developmental state and predicting reproduction of S. frugiperda was developed by integrating the above research results, and it is now available for use by anyone involved in plant protection. This study developed an automated method for accurately forecasting the reproductive dynamics of S. frugiperda populations, which can be helpful for the construction of a population monitoring and early warning system for use by both professional experts and local people at the county level.

]]>
<![CDATA[Combining the critical nitrogen concentration and machine learning algorithms to estimate nitrogen deficiency in rice from UAV hyperspectral data]]> Rapid and large area acquisition of nitrogen (N) deficiency status is important for achieving the optimal fertilization of rice. Most existing studies, however, focus on the use of unmanned aerial vehicle (UAV) remote sensing to diagnose N nutrition in rice, while there are fewer studies on the quantitative description of the degree of N deficiency in rice, and the effects of the critical N concentration on the spectral changes in rice have rarely been explored. Therefore, based on the canopy spectral data obtained by remotely sensed UAV hyperspectral images, the N content in rice was obtained through field sampling. The construction method of the rice curve for the northeastern critical N concentration was studied, and on this basis, N deficiency was determined. Taking the spectrum of the critical N concentration state as the standard spectrum, the spectral reflectivity data were transformed by the ratios and differences, and the feature extraction of the spectral data was carried out by the successive projections algorithm (SPA). Finally, by taking the characteristic band as the input variable and N deficiency as the output variable, a set of multivariate linear regression (MLR), long short-term memory (LSTM) inversion models based on extreme learning machine (ELM), and the non-dominated sorting genetic algorithm III extreme learning machine (NSGA-III-ELM) were constructed. The results showed two key aspects of this system: 1) The correlation between the N deficiency data and original spectrum was poor, but the correlation between the N deficiency data and N deficiency could be improved by a difference change and ratio transformation; 2) The inversion results based on the ratio spectrum and NSGA-III-ELM algorithm were the best, as the R2 values of the training set and validation set were 0.852 and 0.810, and the root mean square error (RMSE) values were 0.291 and 0.308, respectively. From the perspective of the spectral data, the inversion accuracy of the ratio spectrum was better than the accuracy of the original spectrum or difference spectrum. At the algorithm level, the model inversion results based on LSTM algorithms showed a serious overfitting phenomenon and poor inversion effect. The inversion accuracy based on the NSGA-III-ELM algorithm was better than the accuracy of the MLR algorithm or the ELM algorithm. Therefore, the inversion model based on the ratio spectrum and NSGA-III-ELM algorithm could effectively invert the N deficiency in rice and provide critical technical support for accurate topdressing based on the N status in the rice

]]>
<![CDATA[Identification of genetic loci for grain yield‑related traits in the wheat population Zhongmai 578/Jimai 22]]> Identification of stable quantitative trait locus (QTL) for yield-related traits and tightly linked molecular markers is important to improve wheat grain yield.  In the present study, six yield-related traits in a recombinant inbred line (RIL) population derived from the Zhongmai 578/Jimai 22 cross were phenotyped in five environments.  The parents and 262 RILs were genotyped using the wheat 50K single nucleotide polymorphism (SNP) array.  A high-density genetic map was constructed with 1501 non-redundant bin markers, spanning 2384.95 cM.  Fifty-three QTL for six yield-related traits were mapped on chromosomes 1D (2), 2A (9), 2B (6), 2D, 3A (2), 3B (2), 4A (5), 4D, 5B (8), 5D (2), 7A (7), 7B (3) and 7D (5), explaining 2.725.5% of the phenotypic variances, among which 23 were detected in at least three environments, including seven for thousand kernel weight (TKW), four for kernel length (KL), four for kernel width (KW), three for average grain filling rate (GFR), one for kernel number per spike (KNS) and four for plant height (PH).  The stable QTL QKl.caas-2A.1QKl.caas-7DQKw.caas-7DQGfr.caas-2B.1QGfr.caas-4AQGfr.caas-7A and QPh.caas-2A.1 are likely to be new loci. Six QTL-rich regions on 2A, 2B, 4A, 5B, 7A and 7D, showed pleiotropic effects on various yield traits.  TaSus2-2B and WAPO-A1 are potential candidate genes for the pleiotropic regions on 2B and 7A, respectively.  The pleiotropic QTL on 7D for TKW, KL, KW and PH was verified in a natural population.  This study enriched our knowledge on the genetic basis underlying yield-related traits and provided molecular markers for high-yield wheat breeding.

]]>
<![CDATA[Molecular epidemiological study of animal rabies in Kazakhstan]]> Rabies is a serious public health issue in Kazakhstan, with high economic impact and social burden. As part of a routine surveillance, 31 rabies-positive brain specimens taken from livestock (cattle) and carnivores (dogs, foxes, cats) during 2013-2021 were subject to viral sequencing. Phylogenetic and Bayesian analysis were performed using obtained rabies virus (RABV) sequences. All 31 strains of RABV candidate belonged to the Cosmopolitan clade, of which 30 strains belonged to steppe-type subclade, and 1 dog strain belonged to Other subclade. The 31 strains did not diverge from RABV strains in Kazakhstan and neighboring countries, including Russia, Mongolia, and China, suggesting that animal rabies has close relationship and transmission between borders. Fox-originated strains and cattle strains shared similar sequence signature, and some animal rabies cases had space-time intersection, showing that infected foxes were a major transmission source of cattle rabies in different Kazakhstan regions. Besides, free-roaming dogs played a pivotal role in rabies epizootics of cattle in Kazakhstan. The recent spread of animal rabies presents an increasing threat to public health, and provides updated information for improving current control and prevention strategies at the source for Kazakhstan and neighboring countries.

]]>
<![CDATA[Pig macrophages with site-specific edited CD163 decrease the susceptibility to infection with porcine reproductive and respiratory syndrome virus]]> Porcine reproductive and respiratory syndrome (PRRS) is recognized as one of the most infectious viral diseases of swine. Although Cluster of differentiation 163 (CD163) is identified as an essential receptor for mediating PRRS virus (PRRSV) infection, the important residues involved in infection on CD163 are still unclear. Therefore, it is very important to identify these key residues to study the mechanism of PRRSV infection and to generate anti-PRRSV pigs. In this study, we first generated immortalized porcine alveolar macrophage (IPAM) cell lines harboring 40-residues (residues 523-562, including R561 (arginine (R) at position 561)) deletion of CD163. PRRSV infection experiments showed that these IPAM cell lines were completely resistant to PRRSV infection. We then generated cloned pigs carrying CD163-R561A (an arginine (R) to alanine (A) substitution at position 561 of CD163). PRRSV challenge experiments in porcine alveolar macrophages (PAMs) isolated from the CD163-R561A pigs showed significantly lower susceptibility to PRRSV than that of CD163-R561 PAMs. Through this study, we show that CD163 523-562 contains essential residues for mediating PRRSV infection, and that CD163 R561 significantly contributes to PRRSV infection but is not essential for infection. These functional sites can therefore serve as new targets for understanding the mechanism of PRRSV infection. Furthermore, CD163-R561A pigs can be used as an important model for improving pig germplasm with resistance against PRRSV.

]]>
<![CDATA[<span>Insights into the effects of pulsed antimicrobials on chicken resistome and microbiota from fecal metagenomes</span>]]> <![CDATA[Alternative polyadenylation events in epithelial cells sense endometritis progression in dairy cows]]> Endometritis (inflammation of the endometrial lining) is one of the most devastating reproductive diseases in dairy cattle, resulting in substantial production loss and causing more than $650 million in lost revenue annually in the US. We hypothesize that alternative polyadenylation (APA) sites serve as decisive sensors for endometrium health and disease in dairy cows. Endometrial cells collected from 18 cows with purulent vaginal discharge scored 0 to 2 were used for APA profiling with our whole transcriptome termini site sequencing (WTTS-seq) method. Overall, pathogens trigger hosts to use more differentially expressed APA (DE-APA), more intronic DE-APA, more DE-APA sites per gene and more DE-genes associated with inflammation. Host CD59 molecule (CD59), Fc fragment of IgG receptor IIa (FCGR2A), lymphocyte antigen 75 (LY75) and plasminogen (PLG) may serve as initial contacts or combats with pathogens on cell surface, followed by activation of nuclear receptor subfamily 1 group H member 4 (NR1H4) to regulate AXL receptor tyrosine kinase (AXL), FGR proto-oncogene, Src family tyrosine kinase (FGR), HCK proto-oncogene, Src family tyrosine kinase (HCK) and integrin subunit beta 2 (ITGB2) for anti-inflammation. This study is the first to show significance of cilium pathways in endometrium health and animal reproduction. MIR21 and MIR30A would be perfect antagonistic biomarkers for diagnosis of either inflammation or anti-inflammation. These novel findings will set precedent for future genomic studies to aid the dairy industry develop new strategies to reduce endometritis incidence and improve fertility.

]]>
<![CDATA[Resistance analysis of the rice variety Huaidao 5 against root-knot nematode <i>Meloidogyne graminicola</i>]]> Meloidogyne graminicola has emerged as one of the most destructive plant-parasitic nematodes affecting rice (Oryza sativa) production worldwide. Resistance to M. graminicola in rice could be the most effective option for its management. However, sources of germplasm with resistance to M. graminicola in rice remain limited. Here, we describe the root attraction, gall formation and genetic analysis of the resistance to M. graminicola in the rice variety Huidao 5. A nematode attraction assay showed that second-stage juveniles (J2s) of M. graminicola were attracted at the root tip of Huaidao 5 within eight hours without a significant reduction in attraction compared to the susceptible rice variety Nanjing 9108. Microscopic observation of the infection revealed that the J2s invaded root tissues 12 h after inoculation, but their subsequent movement to the root tip was hindered in Huaidao 5, resulting in decreased nematode number compared to Nanjing 9108. Additionally, we used the soil and hydroponic culture systems to simulate upland and flooding conditions in the paddy fields respectively, and found that gall number was significantly reduced, and nematode development was clearly suppressed in Huaidao 5. To investigate the genetic basis of this resistance, cross breeding was performed between the Huaidao 5 and Nanjing 9108 varieties. There was no reduction in the resistance of the F1 offspring to M. graminicola in the greenhouse or field trials, suggesting that a dominant gene could control resistance in Huaidao 5. In summary, this study provides a detailed characterization of a novel source of resistance to M. graminicola in rice, which is of great potential for use in crop breeding.

]]>
<![CDATA[Whole genome SNPs among 8 chicken breeds enable identification of genetic signatures that underlie breed features]]> Many different chicken breeds are found around the world, their features vary among them, and they are valuable resources. Currently, there is a huge lack of knowledge of the genetic determinants responsible for phenotypic and biochemical properties of these breeds of chickens. Understanding the underlying genetic mechanisms that explain across-breed variation can help breeders develop improved chicken breeds. The whole-genomes of 140 chickens from seven Shandong native breeds and 20 introduced recessive white chickens from China were re-sequenced. Comparative population genomics based on autosomal single nucleotide polymorphisms (SNPs) revealed geographically based clusters among the chickens. Through genome-wide scans for selective sweeps, we identified thyroid stimulating hormone receptor (TSHR, reproductive traits, circadian rhythm), erythrocyte membrane protein band 4.1 like 1 (EPB41L1, body size), and alkylglycerol monooxygenase (AGMO, aggressive behavior), as major candidate breed-specific determining genes in chickens. In addition, we used a machine learning classification model to predict chicken breeds based on the SNPs significantly associated with recourse characteristics, and the prediction accuracy was 92%, which can effectively achieve the breed identification of Laiwu Black chickens. We provide the first comprehensive genomic data of the Shandong indigenous chickens. Our analyses revealed phylogeographic patterns among the Shandong indigenous chickens and candidate genes that potentially contribute to breed-specific traits of the chickens. In addition, we developed a machine learning-based prediction model using SNP data to identify chicken breeds. The genetic basis of indigenous chicken breeds revealed in this study is useful to better understand the mechanisms underlying the resource characteristics of chicken.

]]>
<![CDATA[<p class="MsoNormal"> Identification of novel antisense long non-coding RNA APMAP-AS that modulates porcine adipogenic differentiation and inflammatory responses]]> Long non-coding RNAs (lncRNAs) are emerging as powerful regulators of adipocyte differentiation, fat metabolism and gene expression. However, the functional roles and mechanisms of lncRNAs in these processes remain unclear. Here, we identified a novel antisense transcript, named APMAP-AS, transcribed from adipocyte membrane-associated protein (APMAP) in the pig genome. APMAP-AS and APMAP were highly expressed in retroperitoneal adipose of obese pigs, compared with that in control pigs. Using a bone mesenchymal stem cells adipogenic differentiation model, we found that APMAP-AS positively regulated adipogenic differentiation. APMAP-AS had the potential to form an RNA-RNA duplex with APMAP, and increased the stability of APMAP mRNA. Additionally, APMAP-AS promoted lipid metabolism and inhibited the expression of inflammatory factors. These findings of a natural antisense transcript for a regulatory gene associated with lipid synthesis might further our understanding of lncRNAs in driving adaptive adipose tissue remodeling and preserving metabolic health.

]]>
<![CDATA[<p class="MsoNormal"> Mutagenesis of odorant coreceptor Orco reveals the distinct role of olfaction between sexes in <i>Spodoptera</i> <i>frugiperda</i>]]> Odorant receptor (OR) is crucial for insects to detect and recognize external chemical cues closely related to their survival. The insect OR forms a heteromeric complex composed of a ligand-specific receptor and a ubiquitously odorant receptor coreceptor (Orco). This study used the CRISPR/Cas9 technique to knock out (KO) Orco and reveal its essential role in acting on OR-meditated olfactory behavior in a critical invasive agricultural pest, the fall armyworm (FAW), Spodoptera frugiperda. Electroantennogram (EAG) results suggested that the Orco mutants of both male and female moths severely reduced their electrophysiological responses to the eight tested plant volatiles and two sex pheromones. However, the Orco gene played distinct roles in mating behavior between sexes: the mating behavior was fully disrupted in mutated males but not in mutated females. The oviposition result indicated that the Orco KO females displayed reduced egg laying by 24.1% compared with the mated wild type (WT) females. Overall, these results strongly suggest that Orco is an excellent target for disrupting FAW’s normal behavior and provides a feasible pest control approach.

]]>
<![CDATA[Variations in chlorophyll content, stomatal conductance and photosynthesis in<em> Seta</em><em></em><em>ria</em> EMS mutants]]> Chlorophyll (Chl) content, especially Chl b content, and stomatal conductance (Gs) are key factors that greatly affect net photosynthetic rate (Pn).  Setaria italica, a diploid C4 panicoid species with a simple genome and high transformation efficiency, has been widely accepted as a model in photosynthesis and drought-tolerance research.  In the current study, Chl content, Gs, and Pn of 48 Setaria mutants induced by ethyl methanesulfonate were characterized.  A total of 24, 34 and 35 mutants had significant variations in Chl content, Gs, and Pn, respectively. Correlation analysis showed that positive correlation exists between increased Gs and increased Pn, and a weak correlation between decreased Chl b content and decreased Pn was also found. Remarkably, two mutants behaved significantly decreased Chl b content but increased Pn when compared that of Yugu 1. Seven mutants behaved significantly decreased Gs but non-decreasing Pn when compared that of Yugu 1.  The current study thus identified various genetic lines, further exploration of which would be beneficial to elucidate the relationship between Chl content, Gs and Pn and the mechanism underlying why C4 species are efficient at photosynthesis and water saving.

]]>
<![CDATA[Lack of fitness cost and inheritance of resistance to abamectin based on the establishment of a near-isogenic strain of <em>Tetranychus urticae</em>]]> Many populations of the two-spotted spider mite, Tetranychus urticae Koch, have developed high levels of resistance to the pesticide abamectin in China and other countries. This study developed a near-isogenic line (NIL) to understand better the inheritance, cross-resistance, and fitness costs associated with abamectin resistance in the field population of T. urticae in China. We introduced the trait that confers extremely high abamectin resistance in a field-collected population of Turticae into IPP-SS to generate a near-isogenic resistant strain (NIL-Aba). This process was carried out through multiple backcrossing to a susceptible laboratory strain (IPP-SS) and via parthenogenesis and abamectin screening.  Compared with IPP-SS, the NIL-Aba strain had a 25,147-fold resistance to abamectin and a high level of cross-resistance to bifenthrin (288.17-fold), an intermediate level to emamectin benzoate (42.57-fold), and low levels to bifenazate, chlorfenapyr, cyflumetofen, cyenopyrafen, and cyetpyrafen with resistance ranging from 3.18-fold to 9.31-fold. But it had no cross-resistance to profenofos. The resistance to abamectin in NIL-Aba was autosomal, incompletely dominant, and polygenic. Based on two sex life table parameters, no fitness cost was found in NIL-Aba. Establishing the NIL-Aba strain provides a reliable basis for an in-depth study of abamectin resistance in T. urticae. New information on toxicological characteristics and fitness cost should facilitate the management of abamectin resistance in field populations of T. urticae

]]>
<![CDATA[Natural variation and geographical distribution of seed carotenoids and chlorophylls in 1167 Chinese soybean accessions]]> Understanding the composition and contents of carotenoids in various soybean seed accessions is valuable for its nutrition assessment.  This study investigated the variability in concentrations of carotenoids and chlorophylls and unveil their associations with other nutritional quality traits of genetically diverse Chinese soybean accessions comprised cultivars and landraces.  Genotype, planting year, accession type, seed cotyledon color, and ecoregion of origin significantly influenced accumulation of carotenoids and chlorophylls.  The mean total carotenoid content found in the range of 8.15-14.72 µg g-1 across the ecoregions. Landraces contained 1.2-fold higher content of total carotenoid in comparison with that of cultivars. Soybeans with green cotyledon contained higher content of carotenoids and chlorophylls than those with yellow cotyledon. Remarkably, lutein was the most abundant carotenoid in all the germplasms, ranging from 1.35-37.44 µg g-1.  Carotenoid and chlorophylls showed significant correlations with other quality traits, helping to set breeding strategies for enhancing soybean carotenoids without affecting other components.  Collectively, our results demonstrate that carotenoids are adequately accumulated in soybean seeds, which however strongly influenced by genetic factors, accession type, germplasm origin, and we identified novel germplasms with the highest total carotenoid content across the ecoregions of China that could serve and utilize as genetic materials for soybean carotenoid breeding programs and thereby raw materials for food sectors, pharmaceuticals, and cosmetic industries.

]]>
<![CDATA[Transcriptome analysis reveals different response of resistant and susceptible rice varieties to rice stripe virus infection]]> Rice stripe disease, caused by rice stripe virus (RSV) which is transmitted by small brown planthopper (SBPH, Laodelphax striatellus Fallen), resulted in serious losses to rice production during last the 2 decades. Research on the molecular differences between resistant and susceptible rice varieties and the interaction between rice and RSV remains inadequate. In this study, RNA-Seq was used to analyze the transcriptomic differences between the resistant and susceptible rice varieties at different times post RSV infection. Through GO (Gene Ontology) annotation, the differentially expressed genes (DEGs) related to transcription factors, peroxidases, and kinases of 2 varieties at 3 time points were identified. Comparing these 2 varieties, the DEGs associated with these 3 GOs were numerically less in the resistant variety than in the susceptible variety, but the expression showed a significant up- or down-regulation trend under the conditions of |log2(FoldChange)|>0 & padj<0.05 by significance analysis. Then through KEGG (Kyoto Encyclopedia of Genes and Genomes) annotation, DEGs involved in some pathways that have a contribution to disease resistance including plant hormone signal transduction and plant-pathogen interaction were found. The results showed that resistance responses regulated by abscisic acid (ABA) and brassinosteroids (BR) were the same for 2 varieties, but that mediated by salicylic acid (SA) and jasmonic acid (JA)/ethylene (ET) were different. The DEGs in resistant and susceptible varieties at the 3 time points were identified in both PTI (PAMP-triggered immunity) and ETI (Effector protein-triggered immunity), with that most of the unigenes of the susceptible variety were involved in PTI, whereas most of the unigenes of the resistant variety were involved in ETI. These results revealed the different responses of resistant and susceptible varieties in the transcription level to RSV infection.

]]>
<![CDATA[Novel 18<em>β</em>-glycyrrhetinic acid amide derivatives show dual-acting capabilities for control of plant bacterial diseases through ROS-mediated antibacterial efficiency and activation of plant defense responses]]> Natural products have long been a crucial source of, or provided inspiration for new agrochemical discovery. Naturally occurring 18β-glycyrrhetinic acid shows broad-spectrum bioactivities and is a potential skeleton for novel drug discovery. To extend the utility of 18β-glycyrrhetinic acid for agricultural uses, a series of novel 18β-glycyrrhetinic acid amide derivatives were prepared and evaluated for their antibacterial potency. Notably, compound 5k showed good antibacterial activity in vitro against Xanthomonas oryzae pv. oryzae (Xoo, EC50=3.64 mg L-1), and excellent protective activity (54.68%) against Xoo in vivo. Compound 5k induced excessive production and accumulation of reactive oxygen species in the tested pathogens, resulting in damaging the bacterial cell envelope. More interestingly, compound 5k could increase the activities of plant defense enzymes including catalase, superoxide dismutase, peroxidase, and phenylalanine ammonia lyase. Taken together, these enjoyable results suggested that designed compounds derived from 18β-glycyrrhetinic acid showed potential for controlling intractable plant bacterial diseases by disturbing the balance of the phytopathogen’s redox system and activating the plant defense system. 

]]>
<![CDATA[Mapping winter rapeseed in South China using Sentinel-2 data based on a novel separability index]]> Large-scale crop mapping using remote sensing data is of great significance for agricultural production, food security and sustainable development of human beings.  Winter rapeseed is an important oil crop in China and is mainly distributed in the Yangtze River Valley.  Traditional winter rapeseed mapping practice was insufficient since only spectral characteristics during critical phenological period of winter rapeseed were used, was usually limited to small-region and cann’t meet the need of large-scale application.  In this research, a novel phenology-based winter rapeseed index (PWRI) was proposed to map winter rapeseed in the Yangtze River Valley.  PWRI expanded the date window for distinguishing winter rapeseed and winter wheat and has good separability throughout the flowering period of winter rapeseed.  PWRI also enlarged the separability of winter rapeseed and winter wheat, two easily confused winter crops.  A PWRI based method was applied to the Middle Reaches of the Yangtze River Valley to map winter rapeseed on Google Earth Engine platform.  Time series composited Sentinel-2 data were used to map winter rapeseed with 10 m resolution.  The mapping achieves a good result with overall accuracy and kappa coefficients exceeding 92% and 0.85 respectively. The PWRI based method provides a new solution for high spatial resolution winter rapeseed mapping at large-scale.

]]>
<![CDATA[A 2-bp frameshift deletion at GhDR encoding a B-BOX protein co-segregatiing with dwarf-red phenotype in <em>Gossypium hirsutum</em> L.]]>

 Plant architecture and leaf color are important factors influencing cotton fiber yield.  In this study, based on genetic analysis, stem paraffin sectioning, and phytohormone treatments, we showed that the Dwarf and Red (DR) cotton mutant is a gibberellin-sensitive mutant and caused by mutation in a single dominant locus, designated GhDR.  Using Bulked Segregant Analysis (BSA) and genotyping by target sequencing (GBTS) approaches, we located the causative mutation to a ~197-kb genetic interval on chromosome A09 containing 25 annotated genes.  Based on gene annotation and expression changes between the mutant and normal plant, GH_A09G2280 was considered as the best candidate gene responsible for the dwarf and red mutant phenotypes.  A 2-nucleotide deletion was found in the coding region of GhDR/GH_A09G2280 in the DR mutant, which caused frameshift and truncation of GhDR.  GhDR is a homolog of Arabidopsis AtBBX24, encoding a B-box zinc finger protein.  The frameshift deletion eliminated the C-terminal nuclear localization domain and VP domain of GhDR and altered its subcellular localization.  Comparative transcriptome analysis demonstrated downregulation of the key genes involved in gibberellin biosynthesis and signaling transduction network and upregulation of the genes related to gibberellin degradation and anthocyanin biosynthetic pathway in the DR mutant.  The results of this study uncovered the potential molecular basis regulating plant architecture and anthocyanin accumulation in cotton. 

]]>
<![CDATA[<em>SsRSS1 </em>mediates salicylic acid tolerance and contributes to virulence in sugarcane smut fungus]]> Sugarcane smut caused by Sporisorium scitamineum is a destructive disease responsible for significant losses in sugarcane production worldwide. However, the mechanisms underlying the pathogenicity of this fungus remain largely unknown. In this study, we found that the disruption of the SsRSS1 gene, which encodes a salicylic acid (SA) sensing regulator, does not affect phenotypic traits such as the morphology, growth rate, and sexual mating ability of haploid basidiospores, but rather reduces the tolerance of basidiospores to SA stress by blocking the induction of SsSRG1, a gene encoding a SA response protein in S. scitamineum. SsRSS1 deletion resulted in the attenuation of the virulence of the fungus. In addition to a significant reduction in whip formation, a portion of plantlets (18.3%) inoculated with the ΔSsRSS1 strains were found to be infected but failed to produce whips for up to 90 days post-inoculation. However, in plants infected with the ΔSsRSS1 strains that developed whips, hyphae in the stem, teliospore development, and germination did not differ from that seen in the wild-type strain. Combined, our findings suggested that SsRss1 is required for maintaining fungal fitness in planta by counteracting SA stress.

]]>
<![CDATA[Tiller fertility is critical for improving grain yield, photosynthesis and nitrogen efficiency in wheat]]>

Genetic improvement has promoted grain yield and nitrogen use efficiency (NUE) of wheat during the past decades, therefore, grain yield and NUE of wheat cultivars were high as compared to previous cultivars in the Yangtze River Basin since the 2000s.  However, the critical traits and mechanisms of higher grain yield and NUE are not known.  To explore the higher grain yield and NUE mechanisms of these new cultivars, 21 local cultivars were cultivated for three growing seasons from 2016 to 2019.  Significantly positive correlations were observed between grain yield and NUE in the three years.  The cultivars were grouped into high, medium, and low grain yield and NUE groups (abbreviated to HH, MM, and LL, respectively).  Significantly high grain yield and NUE were observed in the HH group.  High grain yield was attributed to more effective ears by high tiller fertility and greater single-spike yield by increasing post-anthesis single-stem biomass.  Compared to other groups, longer leaf stay-green ability and greater flag leaf photosynthetic rate after anthesis were detected in HH group.  It also showed higher N accumulation at pre-anthesis which contributed to increasing N accumulation per stem, including stem and leaf sheath, leaf blade, and unit leaf area at pre-anthesis, and promoting N uptake efficiency, the main contribution of high NUE.  Moreover, Tiller fertility was positively related to N accumulation per stem, N accumulation per unit leaf area, leaf stay-green ability, and flag leaf photosynthetic rate, indicating that improving tiller fertility promoted N uptake, leaf N accumulation, and photosynthetic ability, thereby achieving synchronous improvements in grain yield and NUE.  Therefore, tiller fertility is proposed as an important kernel indicator that can be used in the breeding and management of cultivars to improve agricultural efficiency and sustainability. 

]]>
<![CDATA[Molecular epidemiology, characterization of virulence factors and antibiotic-resistance profile of <em>Streptococcus agalactiae</em> isolated from dairy farms in China and Pakistan]]> Streptococcus agalactiae is one of the most common pathogens that cause bovine mastitis worldwide. Identifying pathogen prevalence and virulence factors is critical for developing prevention and control approaches. Herein, 1161 milk samples from various dairy farms in China (n=558) and Pakistan (n=603) were collected between 2019-2021 and were subjected to S. agalactiae isolation. Prevalence, serotyping, virulence genes, and antibiotic-resistant genes of S. agalactiae were evaluated by PCR assay. All isolates were characterized for haemolysis, biofilm production, cytotoxicity, adhesion, and invasion on bovine mammary epithelial cells. The prevalence of S. agalactiae-induced mastitis in cattle was found to be considerably higher in Pakistan than in China. Jiangsu and Sindh provinces had the highest area-wise prevalence in China and Pakistan, respectively. Serotypes Ia and II were prevalent in both countries, whereas serotype III was found only in Pakistan. Moreover, all isolates tested positive for PI-2b gene but negative for PI-1 and PI-2a genes. All isolates harboured cfb, cylE, hylB, and fbsB virulent genes, whereas many of them lacked bibA, rib and bca. However, the absence of bac and scp genes in Chinese isolates and cspA in Pakistani isolates was noted, while spb1 and lmb were not detected in isolates of both countries. Pakistani isolates, particularly serotype Ia-positive, had a considerably higher ability to produce biofilm, haemolysis, cytotoxicity, adhesion, and invasion than Chinese isolates. Most of the isolates were phenotypically resistant to tetracycline, erythromycin, and clindamycin and genotypic resistance was confirmed by the presence of ermA, ermB, tetM and tetO genes. Our study highlights the antimicrobial resistance profile and virulence-related factors contributing to the epidemiological spread of mastitis-causing S. agalactiae in China and Pakistan. The findings may facilitate future studies designed to develop improved treatment and control strategies against this pathogen. 

]]>
<![CDATA[Enhancing boll protein synthesis and carbohydrate conversion by application of exogenous amino acid at peak flowering stage increased Bt toxin concentration of boll and lint yield in cotton]]> In Bacillus thuringenesis (Bt) transgenic cotton, the cotton boll has the lowest insecticidal protein content when compared to the other organs.  The present study investigated the effects of amino acid spray at the peak flowering stage on cotton boll Bt toxin concentration and yield formation.  Boll protein synthesis and carbohydrate conversion were also studied to reveal the fundamental mechanism.  Three treatments (i.e., CK, the untreated control; LA1, 5 amino acids; and LA2, 21 amino acids) were applied to two Bt cultivars of G. hirsutum (i.e., the hybrid Sikang 3 and the conventional Sikang 1) in cotton-growing seasons during 2017 and 2018.  Amino acid spray at the peak flowering stage resulted in an increase of 5.2-16.4% in the boll Bt protein concentration and an increase of 5.5-11.3% in the seed cotton yield, but there was no difference between these two amino acid treatments.  In addition, due to amino acid application, there was an increase in the amino acid content, soluble protein content, glutamate pyruvate transaminase (GPT) activities, glutamate oxaloacetate transaminase (GOT) activities, glucose content, fructose content and soluble acid invertase (SAI) activities.  It is also found that Bt protein content, enhanced boll number and the weight of opened boll were closely related to carbon and nitrogen metabolism.  The Bt protein content had a significant linear positive correlation with amino acid content and soluble protein content.  Enhanced boll number had a significant linear positive correlation with GPT and GOT activities between 15-25 days after flowering (DAF).  The weight of opened boll between 55-65 DAF had a significant linear positive correlation with the SAI activity.  These results indicate that enhanced boll protein synthesis and carbohydrate conversion by amino acid application resulted in a simultaneous increase in the boll Bt protein concentration and cotton lint yield.

]]>
<![CDATA[Effect of dioscorea opposite waste on growth performance, blood parameters, rumen fermentation and rumen bacterial community in weaned lambs]]> This study investigated the effects of Dioscorea Opposite Waste (DOW) on the growth performance, blood parameters, rumen fermentation and rumen microbiota of weaned lambs. Sixty healthy weaned Small-Tailed Han lambs (male, 22.68±2.56 kg initially) were used as the experimental animals. Four levels of concentrate – 0 (control, CON), 10% (DOW1), 15% (DOW2) and 20% (DOW3) – were replaced with DOW in the basal diet as experimental treatments. The results showed that lambs fed the DOW2 diet had a higher (P<0.05) dry matter intake (DMI) than the other groups. There was no significant difference (P>0.05) among DOW groups in average daily weight gain (ADG), and replacing concentrate with DOW linearly or quadratically increased (P<0.05) the ADG, while lambs fed the DOW2 diet showed greater (P<0.05) ADG than the CON group. The relative plasma concentration of growth hormone (GH), insulin like growth factor -1 (IGF-1) and insulin were affected by DOW, replacing concentrate with DOW linearly or quadratically (P<0.05) enhanced the plasma concentration of GH, IGF-1 and insulin, which was significantly higher (P<0.05) in the DOW2 group than in the CON, DOW1 and DOW3 groups. In addition, the DOW treatment showed a lower (P<0.05) concentration of blood urea nitrogen (BUN) than the CON group. Replacing concentrate with DOW quadratically decreased (P<0.05) the ruminal ammonia nitrogen (NH3-N) and increased (P<0.05) the total of volatile fatty acids (TVFAs) at 0 h and 4 h after feeding as well as linearly decreased (P<0.05) the NH3-N at 8 h after feeding. Replacing concentrate with DOW linearly decreased (P<0.05) the propionate and increased the aceate before feeding, and linearly decreased (P<0.05) propionate and quadratically increased (P<0.05) the aceate at 4 and 8 h after feeding. Lambs fed the DOW2 diet increased the phylum Firmicutes and genera Succiniclasticum and Ruminococcus_1 groups, whereas decreased (P<0.05) the relative abundance of phylum Deferribacteres and genera intestinimonas and Ruminiclostridium. In summary, replacing the concentrate with 15% DOW was beneficial for improving the rumen fermentation and ADG by increasing the DMI and modulating the rumen microbial community. 

]]>
<![CDATA[Ensiling vine tea ( <i>Ampelopsis grossedentata</i>) residue with<i> Lactobacillus plantarum</i> inoculant as an animal unconventional fodder]]> The study aimed to evaluate the application of silage fermentation in storing vine tea residue. Dynamic of fermentation-related product, chemical component and bacterial community of silage with or without Lactobacillus plantarum (F1) inoculant were analyzed. The results showed that F1 treatment had a significant (P<0.05) impact on the lactic acid and ammonia-N concentrations and pH value. Total phenols were well preserved in both treatments. After 30 days of ensiling, L. plantarum occupied the majority of Lactobacillus genus (more than 95%) in all silage samples. Spearman revealed a positive (P<0.01) correlation between lactic acid content and Lactobacillus. Overall, ensiling vine tea residue with L. plantarum can effectively preserve the nutritional attributes and total phenols, which offers a new insight into utilizing vine tea residue.

]]>
<![CDATA[The effects of co-utilizing green manure and rice straw on soil aggregates and soil carbon stability in a paddy soil in South China]]> The co-utilization of green manure (GM) and rice straw (RS) in paddy fields has been widely applied as an effective practice in south China. However, its effects on soil aggregate and soil organic carbon (SOC) stability remain unclear. In the present study, the effect of GM, RS, and co-utilization of GM and RS on particle size distribution of soil aggregates and SOC density fractions were measured in a field experiment. The experiment included six treatments, i.e., winter fallow (WF) without RS return (Ctrl), WF with 50% RS return (1/2RS), WF with 100% RS return (RS), GM without RS return (GM), GM with 50% RS return (GM1/2RS), GM with 100% RS return (GMRS). The results showed that the proportion of small macro-aggregates (0.25-2 mm) and the mean weight diameter (MWD) of aggregates in the GMRS treatment was greater (by 18.9 and 3.41%, respectively) than in the RS treatment, while the proportion of silt+clay particles (<0.053 mm) was lower (by 14.4%). The concentration of SOC in microaggregates (0.053-0.25 mm) and silt+clay particles was higher in the GMRS treatment than in GM and RS treatments individually. The concentration and proportion of free light organic carbon (fLOC) in aggregates of various particle sizes and bulk soil was greater in the GMRS treatment than the RS treatment, whereas the concentration and proportion of mineral-associated organic carbon in small macroaggregates, microaggregates, and bulk was lower in the GMRS treatment than in the RS treatment. The proportion of intra-aggregate particulate organic carbon (iPOC) was greater in the GMRS treatment than in GM treatment. The GMRS treatment had strong positive effects on iPOC in small macroaggregates, suggesting that organic carbon was transferred from fLOC to iPOC. In conclusion, co-utilizing green manure and rice straw cultivated the SOC pool by increasing the concentration of fLOC and improved soil carbon stability by promoting the sequestration of organic carbon in iPOC as a form of physical protection.

]]>
<![CDATA[Selection, effective dominance, and completeness of Cry1A.105/Cry2Ab2 dual-protein resistance in <em>Helicoverpa zea</em> (Boddie) (Lepidoptera: Noctuidae)]]> In the U.S., Helicoverpa zea (Boddie) is a major pest targeted by both transgenic maize and cotton expressing Bacillus thuringiensis (Bt) proteins. Resistance of insect to Bt maize and cotton containing cry1A and cry2A genes has widely occurred in the U.S. In this study, two trials were performed to investigate larval survival and development of a Cry1A.105/Cry2Ab2 dual-protein resistant (VT2P-RR), a susceptible, and an F1 heterozygous (VT2P-RS) populations of H. zea on ears of nine Bt and three non-Bt maize hybrids. The Bt maize hybrids evaluated represent five common pyramided traits expressing two or three of the Cry1A.105, Cry1Ab, Cry1F, Cry2Ab2, and Vip3Aa20 proteins. In the laboratory, neonates of the three H. zea populations were inoculated on silks of ears collected from maize at R1-R2 plant stages; and larval survivorship was checked 10 d after neonate release. All three insect populations survived normally on non-Bt maize ears. Varied numbers of VT2P-RR and VT2P-RS survived on ears of Cry1A.105/Cry2Ab2 maize, while all larvae of the three populations died or could not develop on ears of Vip3Aa20-expressing maize. The results demonstrated that the dual-protein resistant H. zea was not cross-resistant to Vip3Aa20-expressing maize, and thus traits with vip3Aa20 gene should be effective to manage Cry1A.105/Cry2Ab2-resistant H. zea. The resistance in VT2P-RR was determined to be incomplete on Cry1A.105/Cry2Ab2 maize. The effective dominance levels varied greatly, from recessive to incompletely dominant, depending on maize hybrids and trials, suggesting that proper selection of maize hybrids could be important for mitigating the Cry1A.105/Cry2Ab2 resistance. The data generated should aid in modeling multiple-protein Bt resistance in H. zea.   

]]>
<![CDATA[<p class="MsoNormal"> Detection of maize tassels for UAV remote sensing image with an improved YOLOX model]]> Maize tassels detection is essential for future agronomic management in maize planting and breeding, with application in yield estimation, growth monitoring, intelligent picking, disease detection, etc.  Nevertheless, some problems are gradually becoming more prominent for it.  Maize tassels shown in the field are widespread occlusions and differ in size and the morphological color of different growth stages.  Aiming at these issues, this study proposes the SEYOLOX-tiny model that detects maize tassels in the field more accurately and with robustness.  Firstly, the data acquisition method better balanced the image quality and image acquisition efficiency and obtained maize tassels images from different periods to enrich our dataset by unmanned aerial vehicle (UAV).  Moreover, the robust detection network extends YOLOX by embedding an attention mechanism to realize the extraction of critical features and suppressing the noise caused by adverse factors (occlusions, overlaps, etc.), which could be more suitable and robust for operating in a complex natural environment.  Experimental results verify the current work hypothesis and show that the mean average precision (mAP@0.5) was 95.0%. The mAP@0.5, mAP@0.5-0.95, mAP@0.5-0.95(area=small), and mAP@0.5-0.95(area=medium) average increased by 1.5, 1.8, 5.3, and 1.7%, respectively than the original model, the proposed method which can meet the precision and robustness of vision system in maize tassels detection.

]]>
<![CDATA[The HD-Zip transcription factor GhHB12 represses plant height by regulating the auxin signaling in cotton]]> Upland cotton (Gossypium hirsutum L.) is the most important natural textile fiber crop worldwide.  Plant height (PH) is significant component of plant architecture, which strongly influences the crop cultivation patterns, overall yield and economic coefficient.  However, cotton genes regulating plant height have not been fully identified.  Previously, a HD-ZIP gene (GhHB12) was isolated and characterized in cotton, which regulates the abiotic and biotic stress responses and the growth and development processes.  In this study, we showed that GhHB12 was induced by auxin and overexpression of GhHB12 induces the expression of HY5, ATH1 and HAT4, represses the spatial-temporal distribution, polar transport and signaling of auxin, alters the expression of genes involved in cell wall expansion, and restrains the plant height in cotton.  These results suggest a role of GhHB12 in regulation of cotton plant height, which could be achieved by affecting the auxin signaling and cell wall expansion.

]]>
<![CDATA[Review on the fully mulched ridge-furrow system for maize sustainable production on the semiarid Loess Plateau]]> The fully mulched ridge-furrow (FMRF) system has been widely used on the semiarid Loess Plateau of China due to its high maize (Zea mays L.) productivity and rainfall use efficiency.  However, high outputs under this system led to depletion of soil moisture and soil nutrients, which reduces its sustainability in the long run.  Therefore, it is necessary to optimize the system for sustainable development of agriculture.  The development, yield-increasing mechanisms, negative impacts, optimization, and their relations in the FMRF system are reviewed in this paper.  We suggest that using grain and forage maize varieties instead of regular maize; mulching plastic film in autumn, or leaving the mulch after maize harvesting until the next spring, then removing the old film and mulching new film; reduced/no tillage combined with straw return; crop rotation or intercropping with winter canola (Brassica campestris L.), millet (Setaria italica), or flax (Linum usitatissimum L.); reducing nitrogen fertilizer and partially replacing chemical fertilizer with organic fertilizer; using biodegradable or weather-resistant film; and mechanized production.  These integrations help to establish an environmentally friendly, high quality and sustainable agricultural system, promote high-quality development of dryland farming, and create new opportunities for agricultural development in the semi-arid Loess Plateau.

]]>
<![CDATA[Effects of potassium application rate on lipid synthesis and eating quality of two rice cultivars]]> Lipid content has an important effect on rice eating quality, but the effects of fertilizer application rate on lipid synthesis and eating quality of rice are not well understood.  Potassium (K) has a great influence on rice quality and the requirements for K fertilizer is greater than that of nitrogen (N) and phosphate (P) fertilizer in rice.  To investigate the effects of K fertilizer on lipid synthesis and eating quality of rice, we used Nanjing (NJ) 9108 (japonica) and IR72 (indica) rice as experimental materials and four K levels, K0 (0 kg ha-1), K1 (90 kg ha-1), K2 (135 kg ha-1) and K3 (180 kg ha-1).  The results showed that the lipid, free fatty acid (FFA) content, unsaturated fatty acid (UFA) content, malonyl-CoA (MCA) content, phosphatidic acid (PA) content, lipid synthesis-related enzyme activities and eating quality of both cultivars first increased and then decreased with increasing K.  The maximum values were obtained under K2.  However, the saturated fatty acid (SFA) content showed the opposite trend.  No significant differences were found in pyruvate (PYR) content between K treatments.  Protein and oxaloacetic acid (OAA) contents and phosphoenolpyruvate carboxylase (PEPCase) activity of NJ 9108 first increased and then decreased with increasing K and the minimum values were obtained under K2 while IR72 showed the opposite trend and the maximum values were obtained under K1.  Overall, increasing K optimized fatty acid components and increased the lipid content and eating quality of rice by enhancing lipid synthesis-related enzyme activities and regulating substrate competition for lipid and protein synthesis.  The optimal K application rate for lipid synthesis, eating quality and grain yield of both cultivars was 135 kg ha-1.

]]>
<![CDATA[Hole fertilization in the root zone facilitates maize yield and nitrogen utilization by mitigating potential N loss and improving mineral N accumulation]]> Reducing environmental impacts and improving N utilization are critical to ensuring food security in China. Although root-zone fertilization has been considered an effective strategy to improve nitrogen use efficiency (NUE), the effect of controlled-release urea (CRU) applied in conjunction with normal urea in this mode is unclear. Therefore, a 3-yr field experiment was conducted using a no-N-added as a control and two fertilization modes (FF, furrow fertilization by manual trenching, i.e., farmer fertilizer practice; HF: root-zone hole fertilization by point broadcast manually) at 210 kg N ha-1 (controlled-release:normal=5:5), along with a one-year in-situ microplot experiment. Maize yield, NUE and N loss were investigated under different fertilization modes. The results showed that compared with FF, HF improved the average yield and N recovery efficiency by 8.5 and 22.3% over three years, respectively. HF had a greater potential for application than FF treatment, which led to increases in dry matter accumulation, total N uptake, SPAD value and LAI. In addition, HF remarkably enhanced the accumulation of 15N derived from fertilizer by 17.2% compared with FF, which in turn reduced the potential loss of 15N by 43.8%. HF increased the accumulation of N in the tillage layer of soils at harvest for potential use in the subsequent season relative to FF. Hence, HF could match the N requirement of summer maize, sustain yield, improve NUE and reduce environmental N loss simultaneously. Overall, root-zone hole fertilization with blended CRU and normal urea can represent an effective and promising practice to achieve environmental integrity and food security on the North China Plain, which deserves further application and investigation.

]]>
<![CDATA[Molecular diagnosis and direct quantification of cereal cyst nematode (<em>Heterodera filipjevi</em>) from field soil using TaqMan real-time PCR]]> Heterodera filipjevi continues to be a major threat to wheat production worldwide. Rapid detection and quantification of cyst nematodes are essential for more effective control against this nematode disease. In the present study, a TaqMan-minor groove binder (TaqMan-MGB) probe-based fluorescence quantitative real-time polymerase chain reaction (qPCR) was successfully developed and used for quantifying H. filipjevi from DNA extracts of soil. The primers and probe designed from the obtained RAPD-SCAR marker fragments of H. filipjevi showed high specificity to H. filipjevi using DNA from isolates confirmed species of 23 Heterodera spp., 1 Globodera spp. and 3 Pratylenchus spp. The qPCR assay is highly sensitive and provides improved H. filipjevi detection sensitivity of as low as 4-3 single J2 DNAs, 10-3 female DNAs, and 0.01 μg μL-1 genomic DNAs. A standard curve relating the threshold cycle and log values of nematode numbers was generated and validated from artificially infested soils and was used to quantify H. filipjevi in naturally infested field soils. There was a high correlation between the H. filipjevi numbers estimated from 32 naturally infested field soils by both conventional methods and the numbers quantified using the qPCR assay. qPCR potentially provides a useful platform for the efficient detection and quantification of H. filipjevi directly from field soils and to quantify this species directly from DNA extracts of field soils.

]]>
<![CDATA[Comprehensive analysis of the full-length transcripts and alternative splicing involved in clubroot resistance in Chinese cabbage]]> Chinese cabbage is an economically important Brassica vegetable worldwide, while clubroot caused by the soil-borne protist plant pathogen Plasmodiophora brassicae is regarded as a destructive disease to Brassica crops. Previous studies on the gene transcripts of Chinese cabbage resistance to clubroot mainly employed RNA-seq technology, which cannot provide accurate transcript assembly and structural information. In the present study, PacBio RS II SMRT sequencing was applied to generate full-length transcriptomes of mixed roots 0, 2, 5, 8, 13, and 22 days after P. brassicae infection in the clubroot-resistant line DH40R. Overall, 39,376 high-quality isoforms and 26,270 open reading frames (ORFs) were discovered from SMRT sequencing data. Additionally, 426 annotated long noncoding RNAs (lncRNAs), 56 transcription factor (TF) families, 1,883 genes with poly(A) sites and 1,691 alternative splicing (AS) events were identified. Furthermore, 1,202 of the genes had at least one AS event in DH40R. A comparison with RNA-seq data revealed six differentially expressed AS genes (one for disease resistance and five for defense response) potentially involved in P. brassicae resistance. This study provides valuable resources for basic research on clubroot resistance in Chinese cabbage.

]]>
<![CDATA[QTL analysis of early flowering of female flowers in zucchini (<em>Cucurbita pepo </em>L.)]]> Early flowering promotes early maturity and production, and the capacity to counteract biotic and abiotic stresses, making it an important agronomic trait in zucchini. In the present study, the zucchini inbred line ‘19’ showed significantly fewer days to blooming of the first female flower (DFF) than the inbred line ‘113’, which showed stable early flowering. Genetic analysis revealed that DFF is an inheritable quantitative trait and is controlled by multiple genes. Based on the strategy of quantitative trait locus (QTL) sequencing (QTL-seq) combined with linkage analysis, 3 QTLs for DFF were identified on chromosomes 4, 11 and 20. To validate these results, additional F2 populations grown under different environmental conditions were used for QTL mapping analysis of DFF with insertion/deletion (InDel) markers. Using the composite interval mapping (CIM) method of R/qtl software, only one major locus was identified under all environmental conditions and was located in a 117-kb candidate region on chromosome 20. Based on gene annotation, gene sequence alignment and qRT–PCR analysis, we found that the Cp4.1LG20g08050 gene encoding a RING finger protein may be a candidate gene for the opposite regulation of early flowering in zucchini. In summary, these results lay a foundation for better understanding early flowering, and improving early flowering-based breeding strategies in zucchini.

]]>
<![CDATA[MRUNet: A two-stage segmentation model for small insect targets in complex environments]]> Online automated identification of farmland pests is an important auxiliary means of pest control. In practical applications, the online insect identification system is often unable to locate and identify the target pest accurately due to factors such as small target size, high similarity between species and complex backgrounds. To facilitate the identification of insect larvae, a two-stage segmentation method, MRUNet, was proposed in this study. Structurally, MRUNet borrows from Mask R-CNN's practice of object detection before semantic segmentation and then uses an improved lightweight UNet to perform the semantic segmentation. To reliably evaluate the segmentation results of the models, statistical methods were introduced to measure the stability of the performance of the models among samples in addition to the evaluation indicators commonly used for semantic segmentation. The experimental results showed that this two-stage image segmentation strategy is effective in dealing with small targets in complex backgrounds. Compared with existing state-of-the-art semantic segmentation methods, MRUNet shows better stability and detail processing ability under the same conditions. This study provides a reliable reference for the automated identification of insect larvae.

]]>
<![CDATA[Combining rhizosphere and soil-based P management decreased the P fertilizer demand of China by more than half based on LePA model simulations]]> Phosphorus (P) is a finite natural resource and is increasingly considered to be a challenge for global sustainability. Agriculture in China plays a key role in global sustainable P management. Rhizosphere and soil-based P management are necessary for improving P–use efficiency and crop productivity in intensive agriculture in China. A previous study has shown that the future demand for phosphate fertilizer by China estimated by the LePA model (legacy phosphorus assessment model) can be greatly reduced by soil-based P management (the building-up and maintenance approach). The present study used the LePA model to predict the phosphate demand by  China through combined rhizosphere and soil-based P management at county scale under four P fertilizer scenarios: (1) Same P application rate as in 2012; (2) rate maintained same as 2012 in low-P counties or no P fertilizer applied in high-P counties until targeted soil Olsen-P (TPOlsen) level is reached, and then rate was the same as P-removed at harvest;  (3) rate in each county decreased to 1-7 kg ha-1 yr-1 after TPOlsen is reached in low-P counties, then increased by 0.1-9 kg ha-1 yr-1 until equal to P-removal; (4) rate maintained same as 2012 in low-P counties until TPOlsen is reached and then equaled to P-removal, while the rate in high-P counties is decreased to 1-7 kg ha-1 yr-1 until TPOlsen is reached and then increased by 0.1-9 kg ha-1 yr-1 until equal to P-removal. Our predictions showed that the total demand for P fertilizer by all China was 693 Mt P2O5 and according to scenario 4, P fertilizer could be reduced by 57.5% compared with farmer current practice, during the period 2013-2080. The model showed that rhizosphere P management led to a further 8.0% decrease in  P fertilizer use compared with soil-based P management. The average soil Olsen-P level in China only needs to be maintained at 17 mg kg-1 to achieve high crop yields. Our results provide a firm basis for government to issue relevant policies for sustainable P management in China.

]]>
<![CDATA[Vacuolar processing enzyme positively modulates plant resistance and cell death in response to <em>Phytophthora parasitica </em>infection]]> Oomycete, particularly Phytophthora species, cause the most devastating crop diseases, such as potato late blight, and threaten the sustainable crop production worldwide. Our previous studies identified Resistance to Phytophthora parasitica 1 (RTP1) as a negative regulator of Arabidopsis resistance to multiple biotrophic pathogens and RTP1 loss-of-function plants displayed rapid cell death and reactive oxygen species (ROS) production during early colonization of P. parasitica. In this study, we aim to decipher the mechanism of RTP1-mediated cell death, and identified a member of vaculoar processing enzymes (VPEs), γVPE, playing a role in rtp1-mediated resistance to P. parasitica and cell death occurrence. Our results showed up-regulation of the expression of γVPE as well as increased VPE/caspase 1-like protease activity in P. parasitica-infected rtp1 mutant plants. Besides, we found that the VPE/caspase 1-like protease activity was required for the cell death occurrence in Arabidopsis plants during the infection of P. parasitica as well as rtp1-mediated resistance to P. parasitica. Further pathogenicity assays on either Arabidopsis γvpe mutant plants or leaves of Nicotiana benthamiana with transient overexpression of γVPE demonstrated γVPE could positively affect plant resistance to P. parasitica. Together, our studies suggest that γVPE might function as an important regulator of plant defense and cell death occurrence in response to P. parasitica infection, and VPE/caspase 1-like protease activity is required for rtp1-mediated resistance to P. parasitica.

]]>
<![CDATA[Populations of the Potato rot nematode <em>Ditylenchus destructor </em>parasitizing Chinese herbal medicines diagnosis and characterization of the ribosomal DNAITS]]> The potato rot nematode (Ditylenchus destructor) is a very economically important nematode in agronomic and horticultural plants worldwide. In this study, 43 populations of D. destructor were collected from different hosts across China, including 37 populations from Chinese herbal medicine plants. Obtained sequences of ITS-rDNA and D2-D3 of 28S-rDNA genes of D. destructor were compared and analyzed. 9 types of significant length variations in ITS sequences were observed among all populations. The differences in ITS1 length were mainly caused by the presence of repetitive elements with substantial base substitutions. Reconstructions of ITS1 secondary structures showed that the minisatellites formed a stem structure. 10 haplotypes were observed in all populations based on mutations and variations of helix H9. Among them, 3 known haplotypes (A-C) were found in 7 populations isolated from potato, sweet potato, and Codonopsis pilosula, and 7 unique haplotypes were found in other 36 populations collected from C. pilosula and Angelica sinensis compared with 7 haplotypes (A-G) of Subbotin’ system. These unique haplotypes were different from haplotypes A-G, and we named them as haplotypes H-N. The present results showed that a total of 14 haplotypes (A-N) of ITS-rDNA have been found in D. destructor. Phylogenetic analyses of ITS-rDNA and D2-D3 showed that all populations of D. destructor were clustered into two major clades: one clade only containing Haplotype A from sweet potato and the other containing haplotypes B-N from other plants. For further verification, PCR-ITS-RFLP profiles were conducted on 7 new haplotypes. Collectively, our study suggests that D. destructor populations on Chinese medicinal materials are very different from those on other hosts and this work provides a paradigm for relevant researches.

]]>
<![CDATA[Photosensitivity and a precise combination of size-dependent lambda-cyhalothrin microcapsules synergistically generate better insecticidal efficacy]]> In this study, lambda-cyhalothrin (LC) loaded polyurea microcapsules (MCs) with different particle sizes were fabricated. All of the MCs showed varying degrees of physical collapse, which was more obvious among those with smaller particle sizes. MCs with particle sizes of 1.38 μm (MC-S), 5.13 μm (MC-M) and 10.05 μm (MC-L) had shell thicknesses of 39.6, 50.3 and 150.1 nm, respectively. MCs with smaller particles tended to have significantly faster release profiles, and the MC-S group had much higher bioactivity against Agrotis ipsilon and better foliar affinity on the peanut leaves (indicated by rainfastness) than MC-M and MC-L. All of the MCs exhibited light-enhanced release profiles and had much slower degradation compared with the emulsifiable concentrate (EC) group, among which MC-L had the slowest degradation. To generate MCs with both favorable quick efficacy and long-lasting efficacy, binary mixtures of MC-S, MC-M and MC-L were produced by mixing them in pairs at ratios of 2:1, 1:1 and 1:2. The mixture of MC-S:MC-L at 1:2 showed the best comprehensive efficacy in the peanut foliar spray scenario among the nine tested combinations, and its effective duration was three times longer than that of EC. Overall, the precise combination of MCs with different particle sizes can regulate the efficacy of pesticide control and serve as a strategy for the better utilization of pesticides.

]]>
<![CDATA[Brown planthopper <em>E78</em> regulates moulting and ovarian development by interacting with E93]]> The brown planthopper (Nilaparvata lugens) is the main migratory pest in many rice growing areas in Asia. E78 is a member of the nuclear hormone receptor superfamily which plays an important role in egg development and maternal regulation of early embryogenesis. In this study, brown planthopper E78 (NlE78) was cloned, and the predicted amino acid sequence showed that it contains two conserved domains: NR-LBD and DBD. qRT-PCR showed that the expression of NlE78 is high in the fifth instar nymphs and the ovaries of females. After downregulation of NlE78, the rate of moulting failure (33.2%) increased significantly, and ovarian development was delayed. However, when NlE78 was downregulated together with NlE93, the emergence rate increased significantly (78.79%), and ovarian development was similar to that when NlE78 was downregulated but not delayed. A co-immunoprecipitation experiment showed that NlE78 interacts with NlE93, a crucial downstream transcription factor of the ecdysone signalling pathway. Cellular localization by immunofluorescence revealed that NlE78 and NlE93 are expressed in the nucleus. This study indicates that NlE78 regulates ovarian development and moulting, possibly through its interaction with NlE93. This study is of great significance for the development of new pesticides and control methods based on newly discovered targets.

]]>
<![CDATA[Effect of high molecular weight glutenin subunit Dy10 on wheat dough properties and end-use quality]]> High-molecular-weight glutenin subunits (HMW-GSs) are the most critical grain storage proteins that determine the unique processing quality of wheat.  Although it is part of the superior HMW-GS pair (Dx5+Dy10), the contribution of the Dy10 subunit to wheat processing quality remains unclear.  In this study, we elucidated the effect of Dy10 on wheat processing quality by generating and analyzing a deletion mutant (with the Dy10-null allele) and by elucidating the changes to wheat flour following the incorporation of purified Dy10.  The Dy10-null allele was transcribed normally, but there was a lack of the Dy10 subunit.  These findings implied that the Dy10-null allele decreased the glutenin:gliadin ratio and negatively affected dough strength (i.e., Zeleny sedimentation value, gluten index, and dough development and stability times) and the bread-making quality; however, it positively affected the biscuit-making quality.  The incorporation of various amounts of purified Dy10 into wheat flour had a detrimental effect on biscuit-making quality.  The results of this study demonstrate that the Dy10 subunit is essential for maintaining wheat dough strength.  Furthermore, the Dy10-null allele may be exploited by soft wheat breeding programs.

]]>
<![CDATA[Green manuring facilitates bacterial community dispersal across different compartments of subsequent tobacco]]> Green manure-crop rotation is a sustainable approach to protect crops against diseases and improve yield. However, the mechanism by which green manuring manipulates the crop-associated microbial community remains to be elucidated. In this study, we explored the horizontal processes of bacterial communities in different compartments of the soil-root interface (bulk soil, rhizosphere soil, rhizoplane and endosphere) of tobacco by performing a field experiment including four rotation practices, namely, tobacco rotated with smooth vetch, ryegrass, radish, and winter fallow (without green manure). Results showed that the co-occurrence networks constructed by adjacent compartments of the soil-root interface with green manuring had more edges than without green manuring, indicating  dramatic microbial interactions. Green manuring increased the dispersal-niche continuum index between bulk soil and other compartments, indicating that it facilitated the horizontal dispersal of microbes. For the different green manuring practicesthe neutral community model explained 24.6-27.6% of detection frequency for bacteria, and at least one compartment under each practice had a normalized stochasticity ratio higher than the 50% boundarysuggesting that the deterministic and stochastic processes jointly shaped the tobacco microbiome. In conclusion, green manuring generally facilitates bacterial community dispersal across different compartments and enhances potential interactions among adjacent compartments. This study provides empirical evidence for understanding the microbiome assembly under green manure-crop rotation.

]]>
<![CDATA[Population genetic variation and historical dynamics of the natural enemy insect <em>Propylea japonica </em>(Coleoptera: Coccinellidae) in China]]> Propylea japonica (Coleoptera: Coccinellidae) is a natural enemy insect with a wide range of predation in mainland China and is commonly used in pest management. However, its genetic pattern (i.e., genetic variation, genetic structure, and historical population dynamics) is still unclear, impeding the development of biological control of insect pests. Population genetic research has the potential to optimize strategies at different stages of the biological control processes. This study used 23 nuclear microsatellite sites and mitochondrial COI genes to investigate the population genetics of Propylea japonica based on 462 specimens collected from 30 sampling sites in China. The microsatellite dataset showed a moderate level of genetic diversity, but the mitochondrial genes showed a high level of genetic diversity. Populations from the Yellow River basin were more genetically diverse than those in the Yangtze River basin. P. japonica has not yet formed a significant geographically genealogical structure in China, but there was a population structure signal to some extent, which may be caused by frequent gene flow between populations. The species has experienced population expansion after a bottleneck, potentially thanks to the tri-trophic plant-insect-natural enemy relationship. Knowledge of population genetics is of importance in using predators to control pests. Our study complements existing knowledge of an important natural predator in agroecosystems through estimating its genetic diversity and population differentiation and speculating about historical dynamics.

]]>
<![CDATA[Analysis of sex pheromone production and field trapping of the Asian corn borer (<em>Ostrinia furnacalis</em> Guenée) in Xinjiang, China]]> Identifying the sex pheromone systems of local pest populations facilitates their management, especially for moth species that show significant geographic variation in sex pheromone communication. We investigated the pheromone production and behavioral responses of the Asian corn borer (Ostrinia furnacalis Guenée; ACB) in Xinjiang, China. The ACB produces three compounds: (Z)-12-tetradecenyl acetate (Z12-14:Ac) and (E)-12-tetradecenyl acetate (E12-14:Ac) which are two sex pheromone compounds, and n-tetradecyl acetate (14:Ac) which has variable roles in mediating behavioral responses. The ratios of these three compounds produced in female gland are geographically distinct among different populations. Quantitative analysis of pheromone production showed that the proportions of Z12-14:Ac in the E/Z isomers (i.e., Z and E12-14:Ac) and the proportions of 14:Ac in the ternary blend respectively averaged 60.46% (SD=5.26) and 25.00% (SD=7.37), with their probabilities normally or near-normally distributed. Trapping experiments in a cornfield indicated that deploying the E/Z isomers and the three compounds in rubber septa close to their gland ratios yielded the most captured males, while other ratios that deviated from the gland ratios showed reduced field captures. The ternary blend was significantly more attractive to males than the E/Z isomers in the field, indicating a functional role of 14:Ac as the third pheromone component used by the local population. Additionally, the dose-response test demonstrated that the application of the three compounds at dosages between 200 and 350 μg attracted significantly more males compared to other dosages. Therefore, the characterization of this local ACB pheromone system provides additional information about its geographic variation and serves as a basis for optimizing the pheromone-mediated control of this pest in Xinjiang.

]]>
<![CDATA[mgr-mir-9 implicates <em>Meloidogyne graminicola</em> infection in rice by targeting the effector <em>MgPDI</em>]]> MicroRNAs (miRNAs), a class of small non-coding RNAs, are crucial endogenous gene regulators in a range of animals, including plant-parasitic nematodes. Meloidogyne graminicola is an obligate sedentary endoparasite of rice and causes significant yield losses. A number of studies focused on the roles of M. graminicola effectors during the parasitic process; however, how nematode miRNAs regulate its effectors needs elucidating. In this research, we analyzed a cluster of M. graminicola miRNAs obtained at the second-stage juveniles (J2) stage that are closely linked to the regulation of M. graminicola effectors. 49,767,105 total clean reads were obtained from three libraries. 233 known miRNAs and 21 novel miRNAs were identified. Among the known miRNAs, mgr-lin-4, mgr-mir-1, mgr-mir-100, mgr-mir-86, mgr-mir-279, mgr-mir-87, mgr-mir-71, mgr-mir-9, mgr-mir-50, mgr-mir-72, and mgr-mir-34 are the most abundant 11 miRNAs families. Moreover, the expression levels of selected miRNAs were validated by real-time quantitative PCR. We hypothesized that these miRNAs might regulate the expression of secreted effectors during the J2 stage to facilitate its infection. Consistent with this, we found that mgr-mir-9 targets MgPDI, an important M. graminicola effector mRNA. In addition to that, J2s treated with mgr-mir-9 mimics showed down regulation of MgPDI expression and reduced reproductive ability, alluding mgr-mir-9 is involved in nematode infection. These results provide novel insight into the regulatory functions of M. graminicola miRNAs during the infection and identify miRNAs and their effector targets as potential key management targets to limit parasite survival during the early stages of infection.

]]>
<![CDATA[Decreased panicle N application alleviates negative effects of shading on rice grain yield and grain quality]]> Light deficiency is a growing abiotic stress in rice production, however, few studies focus on shading effects on grain yield and quality of rice in east China.  It is also interesting to investigate proper nitrogen (N) application strategy for alleviating grain yield and quality loss of rice exposed to light deficiency stress.  A two-year field experiment was conducted to explore the effects of shading (non-shading and shading from heading to maturity) and panicle N application (NDP, decreased panicle N rate; NMP, medium panicle N rate; NIP, increased panicle N rate) treatments on rice yield- and quality-related characteristics.  Compared with non-shading, shading resulted in a 9.5-14.8% yield loss (P<0.05), mainly due to lower filled-grain percentage and grain weight.  NMP and NIP had higher (P<0.05) grain yield than NDP under non-shading, and no significant difference was observed in rice grain yield among NDP, NMP, and NIP under shading.  Compared with NMP and NIP, NDP achieved a less yield loss under shading because of the increased filled-grain percentage and grain weight.  Shading reduced leaf photosynthetic rate after heading, as well as shoot biomass weight at maturity, shoot biomass accumulation from heading to maturity, and nonstructural carbohydrate (NSC) content in the stem at maturity (P<0.05).  The harvest index and NSC remobilization reserve of NDP were increased under shading. Shading decreased (P<0.05) percentages of brown rice, milled rice, and head rice, and amylose content, while increased (P<0.05) chalky rice percentage, chalky area, chalky degree, and grain protein. NMP demonstrated a better milling quality under non-shading, while NDP demonstrated under shading.  NDP exhibited both lower chalky rice percentage, chalky area, and chalky degree under non-shading and shading, compared with NMP and NIP.  NDP under shading decreased amylose content and breakdown, while increased grain protein content and setback, contributing to a similar overall palatability to non-shading.  Our results suggested severe grain yield and quality penalty of rice when subjected to shading after heading.  NDP improved NSC remobilization, harvest index, and sink-filling efficiency, and alleviated yield loss under shading.  Besides, NDP would maintain milling, appearance, and cooking and eating qualities of rice under shading.  The proper N management with a decreased panicle N rate could be adopted to mitigate the negative effects of shading on rice grain yield and grain quality. 

]]>
<![CDATA[MicroRNA transcriptome of skeletal muscle during yak development reveals miR-652 regulates myoblasts differentiation and survival by targeting <em>ISL1</em>]]> The growth and development of skeletal muscle also determine the meat production of yak, ultimately affecting the economic benefits. Hence, improving growth performance is a top priority in the yak industry. Skeletal muscle development is a complex process involving the regulation of several genes, including microRNAs (miRNAs). However, the transcription of miRNAs in yak skeletal muscle during prenatal to postnatal stages is unknown. We used small RNA sequencing (small RNA-Seq) to determine the global miRNAs of longissimus dorsi muscle from yak (The samples were collected from three fetuses and three adults). Totally 264 differently expressed miRNAs (|log2(fold change)|>1 and P-value≤0.05) were detected between the two groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that differently expressed miRNAs target genes participated in pathways associated with muscle development, such as MAPK, PI3K-Akt, and Hippo signaling pathways, etc. miR-652, which was upregulated in the fetal group, was transfected into C2C12 myoblasts to examine its role. miR-652 promoted (P≤0.05) proliferation and differentiation, but inhibited (P≤0.001) apoptosis at early period. Furthermore, miR-652 reduced (P≤0.001) the proportion of C2C12 myoblasts in the G1phase while increasing (P≤0.01) the proportion of cells in the S and G2 phases. Dual-Luciferase Reporter assays indicated that ISL1 served as a target of miR-652. In general, these findings expand our understanding of yak skeletal muscle miRNAs, and suggested that miR-652 probably regulated myogenesis by regulating ISL1.

]]>
<![CDATA[Response of dryland crops to climate change and drought-resistant and water-suitable planting technology for spring maize]]> 4 to 6.75×104 plants ha-1, and improved by 12.0% and 12.7% from 6.75×104 to 9.0×104 plants ha-1, respectively. Moreover, responses of maize yield to density and density corresponding to the maximum yield varied highly in different rainfall areas. The maize density should be determined by one mm rainfall planting nearly 174 plants, harmonizing crop growth and water use.  Therefore, management strategies should focus on the adjustment of crop planting structure, FMRF water harvesting system, and water-suitable planting to mitigate the adverse effects of climate change and to enhance  sustainable production of maize in the drylands.]]> <![CDATA[Better tillage selection before ridge–furrow film mulching can facilitate root proliferation, increase nitrogen accumulation, translocation, grain yield of maize in a semiarid area]]> <![CDATA[<p class="MsoNormal"> Characterization of wheat monogenic lines with known <i>Sr</i> genes and wheat cultivars for resistance to three new races of<i> Puccinia graminis</i> f. sp.<i> tritici</i> in China]]> Wheat stem rust, caused by Puccinia graminis f. sp. tritici (Pgt), is a potentially devastating fungal disease of wheat worldwide. The present study was to evaluate the resistance of 42 wheat monogenic lines with known stem rust resistance (Sr) genes and 69 wheat cultivars to three new Pgt races (34C0MRGQM, 34C3MKGQM, and 34C6MTGSM) identified from aeciospores at the seedling and adult-plant stages. The phenotyping results revealed that monogenic lines harboring resistance genes Sr9e, Sr17, Sr21, Sr22, Sr26, Sr30, Sr31, Sr33, Sr35, Sr36, Sr37, Sr38, Sr47, SrTmp, and SrTt3 were effectively resistant to all three Pgt races at the seedling and adult plant stages. In contrast, monogenic lines containing Sr5, Sr6, Sr7b, Sr9a, Sr9d, Sr9f, Sr9g, Sr9b, Sr16, Sr24, Sr28, and Sr39 were highly susceptible to these races at both seedling and adult-plant stages. The other lines with Sr8a, Sr10, Sr11, Sr13, Sr14, Sr15, Sr18, Sr20, Sr19, Sr23, Sr25, Sr27, Sr29, Sr32, and Sr34, displayed variable levels of resistance to one or two of the tested races. Seedling infection types (ITs) and adult-plant infection responses (IRs) indicated that 41 (59.4%) of the wheat cultivars showed high resistance to all the three races. Molecular marker analysis showed that 4 wheat culitvars likely carried Sr2, 20 wheat culitvars likely carried Sr31, 9 wheat culitvars likely carried Sr38, and None of the cultivars carried Sr24, 25, and Sr26. Our results provide a scientific basis for rational utilization of the tested Sr genes and wheat cultivars against these novel Pgt races. 

]]>
<![CDATA[Use of transcriptome sequencing to explore the effect of CSRP3 on chicken myoblasts]]> The mechanisms that regulate the specificity and maintenance of chicken muscle fiber types remain largely unknown. In mammals, CSRP3 has been shown to play a vital role in the maintenance of typical muscle structure and function. This study investigated the role that CSRP3 plays in chicken skeletal muscle. First, the antibody against chicken CSRP3 protein was prepared, and the expression levels of the mRNA and protein of the CSRP3 gene in four chicken skeletal muscles with different myofiber compositions were compared. Then the effects of CSRP3 silencing on the expression profile of chicken myoblast transcriptomes were analyzed. The results showed that the expression levels of the mRNA and protein of the CSRP3 gene were both associated with the composition of fiber types in chicken skeletal muscles. A total of 650 genes with at least 1.5-fold differences (Q<0.05) were identified, of which 255 genes were upregulated and 395 genes were downregulated by CSRP3 silencing. Functional enrichment showed that several pathways, including adrenergic signaling in cardiomyocytes, adipocytokine signaling pathway and apelin signaling pathway, were significantly (P<0.05) enriched both in differentially expressed genes and all expressed genes. The co-expressed gene network suggested that CSRP3 silencing caused a compensatory upregulation (Q<0.05) of genes related to the assembly of myofibrils, muscle differentiation, and contraction. Meanwhile, two fast myosin heavy chain genes (MyH1B and MyH1E) were upregulated (Q<0.05) upon CSRP3 silencing. These results suggested that CSRP3 plays a crucial role in chicken myofiber composition, and affects the distribution of chicken myofiber types, probably by regulating the expression of MyH1B and MyH1E.

]]>
<![CDATA[Revealing the process of storage protein rebalancing in high quality protein maize by proteomic and transcriptomic]]>  Quality protein maize (QPM) (Zea mays L.) varieties have increased tryptophan and lysine levels, and are thus better for human and livestock nutrition.  However, breeding QPM varieties remains difficult due to the complex rebalancing of storage proteins involved.  Here, we conducted transcriptome and proteome analyses to investigate the process of storage proteins rebalancing in opaque2 (o2) and QPM.  We found a weak correlation between the transcriptome and proteome, suggesting that there are significant post-transcriptional events modulating non-zein protein abundances in Mo17o2 and QPM, and showing the advantages of proteomics in this study as well.  Compared with Mo17, 672 differentially expressed proteins (DEPs) were identified both in Mo17o2 and QPM, and several of them were associated with storage protein, starch, and amino acid synthesis.  We identified 178 non-zeins as DEPs in Mo17o2 and QPM kernels, the up-regulated non-zein DEPs were enriched in lysine, tryptophan, and methionine, and thus affect the protein quality.  Co-expression network analysis identified regulators of storage protein synthesis in QPM, that including O2, PBF1 and several different types transcription factors.  Our results revealed how storage protein rebalancing occurs and identified non-zein DEPs that may facilitate breeding improved QPM. 

]]>
<![CDATA[Dry matter production and panicle characteristics of high yield and good taste <em>indica </em>hybrid rice varieties]]> Both high yield and good taste are crucial targets of indica hybrid rice (Oryza sativa) production.  Three types of indica hybrid rice were selected according to grain yield and taste value, including high yield and good taste (HYGT), low yield and good taste (LYGT) and high yield and poor taste (HYPT), respectively.  Yield components, corresponding growth characteristics and rice taste quality were analyzed.  When values were averaged across varieties and years, there were almost no differences in taste value between HYGT and LYGT, whereas HYGT showed a significantly higher yield resulted from higher panicle number and spikelet number per panicle, by 16.2 and 20.6%, respectively.  The higher grain yield of HYGT compared with LYGT was attributed to a higher leaf area index (LAI) at heading, higher ratio of grain to leaf and higher biomass accumulation at maturity.  Both HYGT and HYPT achieved the similar high yields, however, HYGT had more panicle number and lower grain weight.  HYGT showed a significantly higher taste value compared with HYPT, which was attributed to a significantly lower protein and amylose contents, by 8.8 and 15.7%, respectively.  Lower protein and amylose contents might be caused by a proper matter translocation from vegetative organs to panicle.  This study considered that reasonable panicle characteristics and translocation efficiency from vegetative organs to panicle during heading to maturity are the key factors to balance yield and rice taste quality.  These results will provide useful information for rice breeders to improve the grain yield and quality of indica hybrid rice.

]]>
<![CDATA[Development and characterization of a novel common wheat–Mexico Rye T1DL•1RS translocation line with stripe rust and powdery mildew resistance]]> Rye (Secalecereale L., 2n=2x=14, RR) is regarded as a significant genetic resource for improving common wheat because of its resistance to multiple diseases and abiotic-stress tolerant traits.  The 1RS chromosome from the German cultivated rye variety Petkus is very important in wheat breeding, but its weakened disease resistance demands the identification of new resources.  In the present study, a novel derived line called D27 was developed from common wheat and Mexico Rye.  Cytological observations characterized the karyotype of D27 as 2n=42=21II.  Genomic insitu hybridization indicated that a pair of whole-arm translocated Mexico Rye chromosomes were inherited normally in the mitotic and meiosis stages of D27.  Experiments using fluorescence insitu hybridization (FISH) and gliadin electrophoresis showed that D27 lacked its wheat 1DS chromosomes and they were replaced by 1RS chromosomes of Mexico Rye, which was supported by wheat simple-sequence repeat markers, rye sequence characterized amplified region markers and wheat 40K SNP array analysis.  The wheat 1DS chromosomes could not be detected by molecular markers and wheat SNP array, but the presence of rye 1RS chromosomes was confirmed.  Agronomic trait assessments indicated D27 had higher tiller number, enhanced stripe rust and powdery mildew resistance.  Dough properties analysis showed that the replacement of 1DS leaded to higher viscosity and lower elasticity of dough in D27, which was benefit for cake making.  In conclusion, the novel cytogenetically stable common wheat–Mexico Rye T1DL·1RS translocation line D27 can be used as an outstanding germplasm in wheat disease resistance and yield improvement breeding programs, and in genetic diversity research of rye 1RS chromosome.

]]>
<![CDATA[Association mapping of lignin response to <em>Vertici</em><em>llium</em> Wilt through eight-way MAGIC population in upland cotton]]>

Lignin metabolism plays a pivotal role in plant defense against pathogens and is always positively correlated as a response to pathogen infection.  Thus, understanding resistance genes against pathogens in plants depends on a genetic analysis of lignin response.  In the study, eight upland cotton lines were used to construct a multi-parent advanced generation intercross (MAGIC) population (n=280), which exhibited peculiar characteristics from the convergence of various alleles coding for advantageous traits.  To measure the lignin response to Verticillium wilt (LRVW), artificial disease nursery (ADN) and rotation nursery (RN) were prepared for MAGIC population planting in four environments.  The stem lignin contents were collected, and the LRVW was measured with the lignin value of ADN/RN in each environment, which showed great variation.  A total of 9323 high-quality single-nucleotide polymorphism (SNP) markers obtained from the Cotton-SNP63K array were employed for genotyping the MAGIC population.  The SNPs were distributed through the whole genome with 4.78 SNP/Mb density, ranging from 1.14 (ChrA06) to 10.08 (ChrD08).  A genome-wide association study was performed using a mixed linear model (MLM) for LRVW, and three stable quantitative trait loci (QTLs), qLRVW-A04, qLRVW-A10 and qLRVW-D05, were identified in more than two environments.  Two key candidate genes, Ghi_D05G01046 and Ghi_D05G01221, were selected within the QTLs through the combination of variations in the coding sequence, induced expression patterns, and function annotations, both of which presented nonsynonymous mutations in coding regions and were strongly induced by Verticilliumdahliae. Ghi_D05G01046 encodes a leucine-rich extensin (LRx) protein, which is involved in Arabidopsis cell wall biosynthesis and organization.  Ghi_D05G01221 encodes a transcriptional co-repressor novel interactor of jaz (NINJA), which functions in the jasmonic acid (JA) signaling pathway.  In summary, the study creates valuable genetic resources for breeding and QTL mapping and opens up a new perspective to uncover the genetic basis of VW resistance in upland cotton.

]]>
<![CDATA[Effects of sowing date and ecological points on yield and temperature radiation resources of semi-winter wheat]]> It is of great significance to explore the effects of sowing date and ecological points on the yield of semi-winter wheat.  This study aims to revealing the effects of sowing date and ecological points on climate resources associated with wheat yield in the Rice-Wheat Rotation System. Setting a total of six sowing dates, the experiment was carried out in Donghai County and Jianhu County using two semi-winter wheat varieties as objects of study.  The basic seedlings of the first sowing date (S1) were 300×104 plants ha1, which would be increased by 10% for each delayed sowing date (S2-S6).  The results showed that the delay of sowing date gave to the decrease of the number of days, the effective accumulated temperature and the cumulative solar radiation in the whole growth period.  The yields of S1 were 0.22-0.31, 0.5-0.78, 0.86-0.98, 1.14-1.38, and 1.36-1.59 t ha-1 higher than those of S2 to S6, respectively.  With the same sowing date, the growth days increased as the ecological point was moved north, both mean daily temperature and effective accumulative temperature decreased, but the cumulative radiation increased.  As a result, the yield of Donghai County was 0.01-0.39 t·ha-1 lower than that of Jianhu County.  The effective accumulative temperature and cumulative radiation had a significant positive correlation with yield.  The average temperature was significantly negatively correlated with the yield.  The decrease of grain yield was mainly due to the decline in grains per spike and 1000-grain weight caused by the increase of daily temperature and the decrease of effective accumulative temperature.

]]>
<![CDATA[Herbicidal activity and biochemical characteristics of the botanical drupacine against <em>Amaranthus retroflexus</em> L.]]> Botanical herbicide has been a hot topic in the research and development of novel pesticides. The herbicidal activity and biochemical characteristics of the botanical compound drupacine were studied by evaluating its effects on seed germination, seedling growth, morphological and physiological characteristics of Amaranthus retroflexus. Drupacine inhibited seed germination and seedling growth, and had a median inhibition concentration (IC50) value of 38.99 mg L−1 against A. retroflexus root. The α-amylase activity and soluble sugar content in treated plants were significantly lower than that of the control. The expression of α-amylase gene was dosage-dependently inhibited compared to untreated control. This suggested that inhibition of α-amylase activity was a mode of action on seed germination. The root hairs were significantly decreased and part of the root cap fell off after treatment with drupacine. The ultrastructure observation showed that cell damage of root tips increased with treatment time. Drupacine also increased the relative conductivity and malondialdehyde (MDA) content. Peroxidase (POD), catalase (CAT), and superoxide dismutase (SOD) activities were significantly enhanced in the treatment compared to the control. These findings indicated that the physiological and biochemical reaction changes leading to morphological and membrane injuries were the main effects of drupacine on the inhibition of seedling growth. Drupacine can be developed as a botanical herbicide.

]]>
<![CDATA[Plastic-film-side seeding, an alternative technology of traditional film mulching, improves yield stability and income for maize production in semi-arid region]]> ater conservation and soil warming.  To ameliorate issues including plastic-film residual and additional labors during “release seedlings” in spring maize production, we have developed a plastic-film-side seeding (PSS) technology with supporting machinery.  In the semi-arid regions of North-west China, a 7-year trial demonstrated that compared with traditional way of seeding under plastic-film mulch (PM), PSS increased 6547 plant numbers per hectares and maize yield by 1686 kg ha-1.  To further understand the effects of PSS on (i) the moisture and temperature of soil, (ii) maize development, yield output, water use efficiency (WUE) and (iii) revenue and plastic-film residual in comparison with that of flat planting (CK) and PM, we conducted a two-year experiment at two semi-arid regions.  Continuous monitoring of soil status demonstrated that, compared with CK, the PSS treatment significantly increased the temperature and moisture of 0-20 cm soil of the seeding row at the early stage of maize development, promoted grain yield (for 884-1089 kg ha-1) and WUE, achieving a similar effect by the PM treatment.  Economically, labor inputs of PSS were equal to CK, whereas the PM cost an additional 960 CNY ha-1 in labor for releasing seedlings from below the film.  Overall, the PSS increased profits by 5.83% (547 CNY ha-1 yr-1) and 8.16% (748 CNY ha-1 yr-1) compared with CK and PM, respectively.  Environmentally, PSS achieved a recovery rate of nearly 100% for residual film and prevented 96 to 130 kg ha-1 of residual plastic-film in PM in 3- to 5-year of maize production. Collectively, we concluded that PSS is an eco-friendly technique to improve yield stability and incomes for sustainable production of maize in semi-arid region.

]]>
<![CDATA[Characterization of the microbial community response to replant diseases in peach orchards]]> This study attempted to monitor the development of microbial communities and reveal the correlation between the soil microbial community and soil nutrient factors over different years following the replanting of peach trees. The replanted soil (RS) and nonreplanted soil (NRS) were collected from peach orchards with different growth years (1, 3, 5, 7, 9, 11, and 13 years) in the same region. The soil bacterial and fungal community diversities were analyzed by high-throughput sequencing technology. RDA was used to show the correlation between the soil microbial community and environmental variables. The alpha diversities of the bacterial and fungal communities indicated that RS contained a higher abundance of bacterial and fungal Operational Taxonomic Units (OTUs) than NRS. NMDS and ANOSIM analyses showed that the soil bacterial and fungal communities were significantly (p<0.01) affected by planting years, and that the main changes occurred in the first and ninth planting years. The presence of the bacterial orders Sphingobacteriales, Burkholderiales and Actinomycetales changed significantly after replanting. Some bacteria associated with bioremediation, such as Burkholderiales and Intrasporangiaceae, and some harmful pathogens, such as Penicillium and Ophiostomatales, significantly increased after replanting (LDA score>3.0). In addition, the soil nutrient contents were lower in RS than in NRS in the early stage (1-5 years), and the RDA showed that bacterial and fungal phyla are closely associated with environmental variables, including the potential of hydrogen (pH), ammonium nitrogen (AN), available phosphorus (AP) and available potassium (AK). These results lead to a deeper understanding of the microbial responses to replanting in peach orchards. 

]]>
<![CDATA[Root pruning is effective in alleviating the inhibition of soybean growth caused by anaerobic stress for a short period]]>  Soybean is an important upland crop, but its productivity has been largely limited by anaerobic stress caused by waterlogging.  The ability to adjust root growth under environmental constraints is an important physiological trait to adapt to an ever-changing environment.  Root pruning is an artificial technique to regenerate the root system.  In the present study, we investigated whether root pruning in soybean is effective in alleviating the inhibitory effects of anaerobic stress.  Soybean plants were affected by anaerobic stress at germination, V1, and R1 stages, and then the plants were treated with root pruning just after the stress treatment.  Soybean plants at germination stage were treated with root cap and tip removals after hypoxia (N2 treatment).  Root cap removal was more effective in suppressing the inhibitory effects of hypoxia than root tip removal (5 mm from the tip).  The shoot dry weights of the soybean with and without root cap removal after hypoxia were 51.2 and 73.8% of the control, respectively.  The root dry weight of the soybean with and without root cap removal after hypoxia were 43.2 and 62.8% of the control, respectively.  As root cap removal effectively enhanced the soybean growth after anaerobic stress, the root cap may be the candidate portion of the stress memory mechanism. When soybean at the V1 stage of growth was affected by anaerobic stress, the branch number, the pod weight in the main stem, root length, and root surface area of the soybean treated with anaerobic stress at the R1 stage significantly decreased compared with those of the control.  In contrast, root pruning (2 mm from the tip) immediately after the stress treatment enhanced root growth, branch number, and pod weight.  The branch number, pod weight, root length, and root surface area of the soybean treated with the root pruning were 1.13, 1.14, 1.12, and 1.13 times higher than those of anaerobic stress.  Plasmolysis was observed in root meristem, columella, and cortical cells in soybean roots subjected to anaerobic condition.  However, damage was not observed in newly emerged roots after root pruning in soybean treated with anaerobic stress.  These results suggested that root pruning is effective in enhancing soybean growth after anaerobic stress.  This effectiveness may be owing to the regeneration and elongation of healthy lateral roots during recovery period.  When soybean was affected by anaerobic stress at the R1 stage, root pruning just after the stress treatment was ineffective.  Thus, it may be difficult to suppress growth reduction owing to anaerobic stress at reproductive stages using only root pruning.

]]>
<![CDATA[Raised bed planting promotes grain number per spike of wheat grown after rice by improving spike differentiation and enhancing photosynthetic capacity]]> The yield of wheat in wheat-rice rotation cropping systems in the Yangtze River Plain, China, is adversely impacted by increased waterlogging.  A raised bed planting (RBP) pattern may reduce waterlogging and increase the wheat yield after rice cultivation by improving the grain number per spike.  However, the physiological basis for grain formation under RBP conditions remains poorly understood.  The present study was performed over two growing seasons (2018/2019 and 2019/2020) to examine the effects of the planting pattern (i.e., RBP and flat planting (FP)) on the floret and grain formation features and leaf photosynthetic source characteristics of wheat.  The results indicated that implementation of the RBP pattern improved the soil–plant nitrogen (N) supply during floret development, which facilitated balanced floret development, resulting in a 9.5% increase in the number of fertile florets per spike.  Moreover, the RBP pattern delayed wheat leaf senescence and increased the photosynthetic source capacity by 13.9%, which produced more assimilates for grain filling.  Delayed leaf senescence was attributed to the resultant high leaf N content and enhanced antioxidant metabolism.  Correspondingly, under RBP conditions, 7.6–8.6% more grains per spike were recorded, and the grain yield was ultimately enhanced by 10.4–12.7%.  These results demonstrate that improvement of the spike differentiation process and enhancement of the leaf photosynthetic capacity were the main reasons for the increased grain number per spike of wheat under the RBP pattern, and this technique should be improved through further investigation.

]]>
<![CDATA[Late sowing enhances lodging resistance of wheat plant via improving biosynthesis and accumulation of lignin and cellulose]]> Delayed sowing mitigates lodging in wheat.  However, the mechanism underlying enhanced lodging resistance in wheat has yet to be elucidated fully.  Field experiments were conducted to investigate the effects of sowing date on lignin and cellulose metabolism, stem morphological characteristics, lodging resistance, and grain yield.  Seeds of Tainong 18, a winter wheat variety, were sown on October 8 (normal sowing) and October 22 (late sowing) during the 2015–2016 and 2016–2017 growing seasons.  The results showed that late sowing enhanced the lodging resistance of wheat by improving the biosynthesis and accumulation of lignin and cellulose. Under late sowing, the expression levels of key genes (TaPAL, TaCCR, TaCOMT, TaCAD, and TaCesA1, 3, 4, 7, and 8) and enzyme activities (TaPAL, TaCAD) related to lignin and cellulose biosynthesis peaked 4–12 days earlier, and were significantly higher, except for the TaPAL, TaCCR, and TaCesA1 genes and TaPAL, in most cases than under normal sowing.  As a result, lignin and cellulose accumulated quickly during the stem elongation stage.  The mean and maximum accumulation rates of lignin and cellulose increased, the maximum accumulation contents of lignin and cellulose were higher, and the cellulose accumulation duration was prolonged.  Consequently, the lignin/cellulose ratio and lignin content were increased from 0 days and the cellulose content was increased from 11 days after jointing onward.  Our main finding is that the improved biosynthesis and accumulation of lignin and cellulose were responsible for increasing the stem filling degree, breaking strength, and lodging resistance.  The major functional genes enhancing lodging resistance in wheat induced by delayed sowing need to be determined.

]]>
<![CDATA[Transcriptional regulation of secondary metabolism and autophagy genes in response to DNA replication stress in <em>Setosphaeria turcica</em>]]> The fungal pathogen Setosphaeria turcica causes Northern corn leaf blight (NCLB), which leads to considerable crop losses. S. turcica elaborates a specialized infection structures called appressorium for maize infection. Previously, we demonstrated that the S. turcica triggers an S-phase checkpoint and ATR (Ataxia Telangiectasia and Rad3 related)-dependent self-protective response to DNA genotoxic insults during maize infection. However, how the regulatory mechanism works was still largely unknown. Here, we report a genome wide transcriptional profile analysis during appressorium formation in the present of DNA replication stress. We performed RNA-Seq analysis to identify S. tuicica genes responsive to DNA replication stress. In the current work, we found that appressorium-mediated maize infection by S. turcica is significantly blocked by S phase checkpoint. A large serial of secondary metabolite and melanin biosynthesis genes were blocked in appressorium formation of S. turcica during the replication stress. The secondary metabolite biosynthesis genes including Alcohol dehydrogenase GroES-like domain, Multicopper oxidase, ABC-transporter families, Cytochrome P450 and FAD-containing monooxygenase were related to plant pathogen infection. In addition, we demonstrated that autophagy in S. turcica is up-regulated by ATR as a defense response to stress. We identified StATG3, StATG4, StATG5, StATG7 and StATG16 genes for autophagy, were induced by ATR-mediated S phase checkpoint. We therefore propose that in response to genotoxic stress, S. turcica utilizes ATR-dependent pathway to turn off transcription of genes governing appressorium-mediated infection, and meanwhile inducing transcription of autophagy genes likely as a mechanism of self-protection, aside from the more conservative responses in eukaryotes. 

]]>
<![CDATA[OsPPR9 encodes a DYW-type PPR protein that affects editing efficiency of multiple RNA editing sites and is essential for chloroplast development]]> Photosynthesis occurs mainly in chloroplasts, whose development is regulated by proteins encoded by nuclear genes.  Among them, pentapeptide repeat (PPR) proteins participate in organelle RNA editing.  Although there are more than 450 members of the PPR protein family in rice, only a few have been shown to affect RNA editing in rice chloroplasts.  New rice germplasm and mutants were created by gene editing technology, which could be used for rice breeding and gene function study, respectively.  This study evaluated the functions of OsPPR9 in chloroplast RNA editing in rice.  The Osppr9 mutants were obtained by CRISPR/Cas9, which showed yellowing leaves and a lethal phenotype, with suppressed expression of genes associated with chloroplast development and accumulation of photosynthetic-related proteins.  In addition, loss of OsPPR9 protein function reduces the editing efficiency of rps8-C182, rpoC2-C4106, rps14-C80 and ndhB-C611 RNA editing sites, which affects chloroplast growth and development in rice.  Our data showed that OsPPR9 is highly expressed in rice leaves and encodes a DYW-PPR protein that is localized in chloroplasts.  Besides, the OsPPR9 protein was shown to interact with OsMORF2 and OsMORF9.  Together, our findings provide insights into the role of the PPR protein in regulating chloroplast development in rice.  

]]>
<![CDATA[Development and characterization of wheat-Aegilops kotschyi 1U<sup>k</sup>(1A) substitution line with positive dough quality parameters]]> Exploring novel high molecular weight glutenin subunits (HMW-GSs) from wild related species is a strategy to improve wheat processing quality.  The objective of present investigation was to identify the chromosomes of the wheat-alien introgression line N124, derived from the hybridization between Triticum aestivum with Aegilops kotschyi, and characterize the effects on quality-related traits. Fluorescence in situ hybridization karyotypes showed that N124 is a disomic 1Uk(1A) substitution line.  SDS-PAGE and reversed phase high performance liquid chromatography verified N124 expressed two HMW-GSs of the Ae. kotschyi parent.  PacBio RNA sequencing and phylogenetic analysis confirmed that the two HMW-GSs were Ukx and Uky.  Compared to the wheat parent, the substitution line had not obviously agronomic defects except fewer grains per spike but improved several major quality parameters.  It can be served as a donor or bridge material for wheat quality improvement.

]]>
<![CDATA[Novel models for simulating maize growth based on thermal time and photothermal units: Applications under various mulching practices]]> Zea mays L.) is one of the three major food crops and the important source of carbohydrates to maintain food security around the world.  Plant height (H), stem diameter (SD), leaf area index (LAI) and dry matter (DM) are important growth parameters that influence maize production.  However, the combined effect of temperature and light on maize growth has been rarely considered in crop growth models.  Ten maize growth models based on the modified logistic growth equation (Mlog) and Mitscherlich growth equation (Mit) were proposed to simulate H, SD, LAI and DM of maize under different mulching practices based on experimental data during 2015-2018.  The accumulative growing degree-days (AGDD), helio thermal units (HTU), photothermal units (PTU) or our first proposed photoperiod thermal units (PPTU) was used as the single driving factor, and AGDD was further combined with accumulative actual solar hours (ASS), our first proposed accumulative photoperiod response (APR) or accumulative maximum possible sunshine hours (ADL) as the dual driving factors in the models.  The model performances were evaluated using seven statistical indicators and a global performance index.  The results showed that the three mulching practices significantly increased the maize growth rates and maximum values of growth curves compared with non-mulching.  Among the four single factor-driven models, the overall performance of the MlogPTU model was best, followed by the MlogAGDD model.  The MlogPPTU model was better than the MlogAGDD model in simulating SD and LAI.  Among the ten models, the overall performance of the MlogAGDD-APR model was best, followed by the MlogAGDD-ASS model.  Specifically, the MlogAGDD-APR model performed best in simulating H and LAI, while the MlogAGDD-ADL and MlogAGDD-ASS models performed best in simulating SD and DM, respectively.  In conclusion, the modified logistic growth equation with AGDD and APR, ASS or ADL as the dual driving factors outperformed the commonly used modified logistic growth model with AGDD as the single driving factor in simulating maize growth. 


]]>
<![CDATA[Investigation of <em>Aegilops umbellulata</em> for stripe rust resistance, heading date, and iron, zinc, and gluten protein content]]> Aegilops umbellulata (UU) is a wheat wild relative that has potential use in the genetic improvement of wheat.  In this study, 46 Ae. umbellulata accessions were investigated for stripe rust resistance, heading date (HD), and the contents of iron (Fe), zinc (Zn), and seed gluten proteins.  Forty-two of the accessions were classified as resistant to stripe rust, while four accessions were classified as susceptible to stripe rust in four environments.  The average HD of Ae. umbellulata was significantly longer than that of three common wheat cultivars (180.9 vs. 137.0 days), with the exception of PI 226500 (138.9 days).  The Ae. umbellulata accessions also showed high variability in Fe (69.74–348.09 mg kg-1) and Zn (49.83–101.65 mg kg-1) contents.  Three accessions (viz. PI 542362, PI 542363, and PI 554399) showed relatively higher Fe (230.96–348.09 mg kg-1) and Zn (92.46–101.65 mg kg-1) contents than the others.  The Fe content of Ae. umbellulata was similar to that of Ae. comosa and Ae. markgrafii but higher than that of Ae. tauschii and common wheat. Ae. umbellulata showed higher Zn content than Ae. tauschii, Ae. comosa, and common wheat but lower than Ae. markgrafii.  The gluten proteins of Ae. umbellulata and the control species were separated by reversed-phase high-performance liquid chromatography.  Unique elution peaks in all the gluten proteins were detected, especially in low-molecular-weight glutenins and γ-gliadins at elution times of 41–42 min and ~57 min, respectively, in comparison with the other species.  Furthermore, Ae. umbellulata had the highest proportion of γ-gliadin among all the species investigated (Ae. umbellulata vs. other species=mean 72.11% vs. 49.37%; range: 55.33–86.99% vs. 29.60–67.91%).  These results demonstrated that Ae. umbellulata exhibits great diversity in the investigated traits, providing a potential gene pool for the genetic improvement of these traits in wheat.

]]>
<![CDATA[Estimation of the potential geographical distribution of a new potato pest (<em>Schrankia costaestrigalis</em>) in China under climate change]]> Global food security is threatened by the impacts of the spread of crop pests and changes in the complex interactions between crops and pests under climate change. Schrankia costaestrigalis is a newly-reported potato pest in Southern China. Early-warning monitoring of this insect pest could protect domestic agriculture as it has already caused regional yield reduction and/or quality decline in potato production. Our research aimed to confirm the potential geographical distributions (PGDs) of Scostaestrigalis in China under different climate scenarios using an optimal MaxEnt model, and to provide baseline data for preventing agricultural damage by Scostaestrigalis. Our findings indicated that the accuracy of the optimal MaxEnt model was better than the default-setting model, and the minimum temperature of the coldest month, precipitation of the driest month, precipitation of the coldest quarter, and the human influence index were the variables significantly affecting the PGDs of Scostaestrigalis. The highly- and moderately-suitable habitats of S. costaestrigalis were mainly located in eastern and southern China. The PGDs of S. costaestrigalis in China will decrease under climate change. The conversion of the highly- to moderately-suitable habitat will also be significant under climate change. The centroid of the suitable habitat area of S. costaestrigalis under the current climate showed a general tendency to move northeast and to the middle-high latitudes in the 2030s. The agricultural practice of plastic film mulching in potato fields will provide a favorable microclimate for S. costaestrigalis in the suitable areas. More attention should be paid to the early warning and monitoring of S. costaestrigalis in order to prevent its further spread in the main areas of winter Chinese potato planting.

]]>
<![CDATA[Effects of LPA on the development of sheep in vitro fertilized embryos and attempt to establish sheep embryonic stem cells]]> Lysophosphatidic acid (LPA) is a small molecule glycerophospholipid, which regulates multiple downstream signalling pathways through G-protein-coupled receptors to achieve numerous functions on oocyte maturation and embryo development. In this study, sheep in vitro fertilization (IVF) embryos were applied to investigate the effects of LPA on early embryos development and embryonic stem cell establishment. At first, the maturation medium containing estrus female sheep serum and SOF were optimized for sheep IVF, and then the effects of LPA were investigated. From 0.1 to 10 μmol L-1, LPA had no significant effect on the cleavage rate (P>0.05), but the maturation rate and blastocyst rate increased dependently with LPA concentration (P<0.05), and the blastocyst morphology was normal. When the LPA concentration was 15 μmol L-1, the maturation rate, cleavage rate and blastocyst rate decreased significantly (P<0.05), with the abnormal blastocyst morphology which meat the cell mass in the embryo was abnormal, and the blastocyst could not develop into high-quality blastocyst. Besides, the exogenous LPA increases the expression of LPAR2, LPAR4, TE-related gene CDX-2 and pluripotency-related gene OCT-4 in sheep early IVF embryos with the raise of LPA concentration from 0.1 to 10 μmol L-1. The expression of LPAR2, LPAR4, CDX-2 and OCT-4 from the LPA - 0.1 to LPA - 10 μmol L-1 group in early embryos were extremely significant (P<0.05), while the expression of these genes significantly decreased in 15 - LPA treated embryos compared with LPA - 10 μmol L-1 group (P<0.05). The inner cell mass in 15 μmol L-1 - LPA treated embryos was also disturbed, and the blastocysts formation was abnormal. Secondly, the sheep IVF blastocysts were applied to establish embryonic stem cells. The results showed that LPA made the blastocyst inoculated cells grow towards TSC-like cells. They enhanced the fluorescence intensity and mRNA abundance of OCT-4 and CDX-2 as the concentration increased from 0 μmol L-1 to 10 μmol L-1, while 15 μmol L-1 LPA decreased OCT-4 and CDX-2 expression in the derived cells. The expression of CDX-2 and OCT-4 in the blastocyst inoculated cells of LPA-1 μmol L-1 group and LPA-10 μmol L-1 group extremely significantly increased (P<0.05), but there was significant decrease in LPA - 15 μmol L-1 group compared with LPA - 10 μmol L-1 group (P<0.05). Meanwhile, the protein expression of LPAR2 and LPAR4 remarkably increased after treatment of LPA at 10 μmol L-1 concentration. This study references the IVF embryo production and embryonic stem cell research of domestic animals. 


]]>
<![CDATA[Grain yield and nitrogen use efficiency of an ultrashort-duration variety grown under different nitrogen and seeding rates in direct-seeded and double-season rice in central China]]> -1 with total growth duration of 85 to 97 days across all treatments with N application.  Grain yield was increased significantly by N application in most cases, but seeding rate had an inconsistent effect on grain yield.  Furthermore, the response of grain yield to the N rates was much higher than that to seeding rates.  The moderate N rates of 100-150 and 70-120 kg N ha-1 in the early and late seasons, respectively, could fully express the yield potential of the ultrashort-duration variety grown under DDR.  Remarkably higher N response and agronomic NUE were achieved in the early season compared with that of the late-season rice due to the difference in indigenous soil N supply capacity (INS) between the two seasons.  Seasonal differences in INS and N response should be considered when crop management practices are optimized for achieving high grain yield and NUE of ultrashort-duration varieties grown under DDR.]]> <![CDATA[MiR164-<em>TaNAC14 </em>module regulates root development and abiotic-stress tolerance of wheat seedlings]]> Previous studies have uncovered the miR164 family and the miR164-targeted NAC transcription factor genes in rice (Oryza sativa) and Arabidopsis that play versatile roles in developmental processes and stress responses.  In wheat (Triticum aestivum L.) we find nine genetic loci of tae-miR164 (tae-MIR164a to i) producing two mature sequences that down-regulate the expression of newly identified target genes of TaNACs (TaNAC1, TaNAC11, and TaNAC14) by the cleavage of the respective mRNA.  Overexpression of tae-miR164 or one of its target genes TaNAC14 demonstrated that miR164-TaNAC14 module greatly affected root growth and development and stress (drought and salinity) tolerance of wheat seedlings, TaNAC14 promotes root growth and development of wheat seedlings and enhanced drought tolerance, while miR164 inhibits root development and reduces drought- and salinity-tolerance by down-regulating the expression of TaNAC14.  Our findings identify the miR164-TaNAC14 module as well as other tae-miR164 regulated genes to generate new genetic resources for stress-resistance wheat breeding.

]]>