Leaves are the main places for photosynthesis and organic synthesis of cotton.  Leaf shape has important effects on the photosynthetic efficiency and canopy formation, thereby affecting cotton yield.  Previous studies have shown that LMI1 is the main gene regulating leaf shape. In this study, the LMI1 gene (LATE MERISTEM IDENTITY1) was inserted into the 35S promoter expression vector, and cotton plants overexpressing LMI1(OE) were obtained through genetical transformation.  Statistical analysis of the biological traits of T₁ and T₂ populations showed that compared to wild type (WT), OE plants had significant larger leaves, thicker stems and significantly increased dry weight.  Furthermore, plant sections of the main vein and petiole showed that the number of cell in those tissues of OE plants increased significantly.  In addition, RNA-seq analysis revealed differential expression of genes related to gibberellin synthesis and NAC gene family (genes containing the NAC domain) in OE and WT plants, suggesting that LMI1 is involved in secondary wall formation and cell proliferation, and promotes stem thickening.  Moreover, GO (Gene Ontology) analysis enriched the terms of calcium ion binding, and KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis enriched the terms of fatty acid degradation, phosphatidylinositol signal transduction system, and cAMP signal pathway.  These results suggested that LMI1 OE plants were responsive to gibberellin hormone signals, and altered messenger signal (cAMP, Ca²⁺) which amplified this function, to promote the stronger above ground vegetative growth.  This study found the LMI1 soared the nutrient growth in cotton, which is the basic for higher yield.

Lilium are highly economically valuable ornamental plants that are susceptible to Fusarium wilt caused by Fusarium oxysporum. Lilium regale Wilson, a wild lily native to China, is highly resistant to F. oxysporum. In this study, a WRKY transcription factor, WRKY11, was isolated from L. regale, and its function during the interaction between L. regale and F. oxysporum was characterized. The resistance to F. oxysporum of LrWRKY11 ectopic expression tobacco increased, moreover, the transcriptome sequencing and UHPLC-MS/MS analysis indicated that the methyl salicylate and methyl jasmonate levels rose in LrWRKY11 transgenic tobacco, meanwhile, the expression of lignin/lignans biosynthesis related genes including a dirigent (DIR) were up-regulated. Moreover, the lignin/lignans contents in LrWRKY11 transgenic tobacco also significantly increased compared with the wild-type tobacco. In addition, the resistance of L. regale scales in which LrWRKY11 expression was silenced by RNAi evidently decreased, and additionally, the expression of lignin/lignans biosynthesis related genes including LrDIR1 was significantly suppressed. Therefore, LrDIR1 and its promoter (PLrDIR1) sequence containing the W-box element were isolated from L. regale. The interaction assay indicated that LrWRKY11 specifically bound to the W-box element in PLrDIR1 and activated LrDIR1 expression. Additionally, β-glucuronidase activity in the transgenic tobacco co-expressing LrWRKY11/PLrDIR1-β-glucuronidase was higher than that in transgenic tobacco expressing PLrDIR1-β-glucuronidase alone. Furthermore, the ectopic expression of LrDIR1 in tobacco enhanced the resistance to F. oxysporum and increased the lignin/lignans accumulation. In brief, this study revealed that LrWRKY11 positively regulated L. regale resistance to F. oxysporum through interaction with salicylic acid/jasmonic acid signaling pathways and modulating LrDIR1 expression to accumulate lignin/lignans.

The paper reviews studies of rural transformation in three dimensions – definition, measurement, and indicators – and summarises the findings of rural transformation research. The scope of rural transformation includes four elements – productivity, rurality, inclusiveness, and sustainability. Current concepts of the dimensions of rural transformation and their associated indicators are insufficient for policy decision-making, as they lack objectivity, feasibility, accountability, comprehensiveness, and comparability. Future research to develop new measures to assess rural transformation in developing countries is valuable. Furthermore, there is potential to explore the topic in some directions: urbanisation strategy, public intervention (i.e., institution, policy, and investment), gender inclusiveness, market creation, and international trade.

Nitrogen, phosphorus, and potassium are essential macronutrients crucial not only for maize growth and development, but also for crop yield and quality.  The genetic basis of macronutrient dynamics and accumulation during grain filling in maize remains largely unknown.  In this study, we evaluated grain N, P, and K concentrations in 206 recombinant inbred lines generated from a cross of DH1M and T877 at six time points after pollination.  We then calculated conditional phenotypic values at different time intervals to explore dynamic characteristics of N, P, and K concentrations. Abundant phenotypic variation was observed in the concentration and net changes of these nutrients.  Unconditional quantitative trait locus (QTL) mapping revealed 41 non-redundant QTLs, including 17, 16, and 14 for N, P, and K concentrations, respectively.  Conditional QTL mapping uncovered 39 non-redundant QTLs related to net changes in N, P, and K concentrations.  By combining QTL, gene expression, co-expression analysis, and comparative genomic data, we identified 44, 36, and 44 candidate genes for N, P, and K concentration, respectively, including GRMZM2G371058 encoding a Dof-type zinc finger DNA-binding family protein, associated with N concentration, and GRMZM2G113967 encoding a CBL-interacting protein kinase, related to K concentration.  Our results should deepen understanding of genetic factors controlling N, P, and K accumulation during maize grain development and provide valuable genes for genetic improvement of nutrient concentrations in maize.

The practice of intercropping leguminous and gramineous crops is used for promoting sustainable agriculture, optimizing resource utilization, enhancing biodiversity, and reducing reliance on petroleum products.  However, promoting conventional intercropping strategies in modern agriculture can prove challenging.  The innovative technology of soybean maize strip intercropping (SMSI) has been proposed as a solution.  This system has produced remarkable results in improving domestic soybean and maize production for both food security and sustainable agriculture.  In this article, we provide an overview of SMSI and explain how it differs from traditional intercropping.  We also discuss the core principles that foster higher yields and the prospects for its future development.

The two-spotted spider mite, Tetranychus urticae Koch, is one of the most harmful pests in many agroecosystems worldwide. To effectively manage this pest, there is an urgent need to develop novel bio-active acaricides that support integrated pest management strategies targeting T. urticae. In this study, we explored the acaricidal effects of xenocoumacin 1 (Xcn1) on T. urticae and its predator Neoseiulus californicus using the highly purified compound. Xcn1 was extracted and purified from the cell-free supernatant of the Xenorhabdus nematophila CB6 mutant constructed by the easy promoter activated compound identification (easyPACId) method. When the concentration of Xcn1 exceeded 100 μg mL^-1, the survival rate of spider mite adults declined to below 40% and the fecundity was decreased by 80% at six days post application. At concentrations of 25 and 50 μg mL^-1, Xcn1 significantly impeded spider mite development by inhibiting the molt. However, neither concentration had any adverse effects on the survival or reproduction of the predatory mite N. californicus. The results from laboratory and semifield experiments consistently demonstrated the effectiveness of the antimicrobial metabolite Xcn1 in controlling pest mites at both the molecular and physiological levels. Our study offers a promising possibility that combines the compatible biocontrol agents of Xcn1 and predatory mites for integrated pest mite control.

α-Linolenic acid (ALA, 18:3Δ9,12,15) is an essential fatty acid for human, since it is the precursor for the biosynthesis of omega-3 long-chain polyunsaturated fatty acids (LC-PUFA).  Modern people generally suffer from deficiency of ALA, since most staple food oils are low or lack in ALA content.  Biotechnological enrichment of ALA in staple oil crops is a promising strategy.  Among known oil crops, chia (Salvia hispanica) has the highest ALA content in its seed oil.  In this study, the FAD2 and FAD3 genes from chia were engineered into a staple oil crop, oilseed rape (Brassica napus), via Agrobaterium tumefaciens-mediated transformation of their LP4-2A fusion gene construct driven by the seed-specific promoter P_NapA.  In seeds of T0, T1 and T2 lines, the average ALA contents were 20.86, 23.54 and 24.92%, which were 2.21, 2.68 and 3.03 folds of the non-transformed controls (9.42, 8.78 and 8.22%), respectively.  The highest ALA levels of seeds of T0, T1 and T2 plants, were 38.41, 35.98 and 39.19% respectively, which were 4.10-4.77 folds of the respective controls.  FA-pathway enzyme genes BnACCD, BnFATA, BnSAD, BnSCD, BnDGAT1, BnDGAT2 and BnDGAT3 as well as positive regulatory genes BnWRI1, BnLEC1, BnL1L, BnLEC2, BnABI3, BnbZIP67 and BnMYB96 were all significantly up-regulated.  In contrast, BnTT1, BnTT2, BnTT8, BnTT16, BnTTG1 and BnTTG2, encoding negative regulators of oil accumulation but positive regulators of secondary metabolism, were all significantly down-regulated.  These mean that foreign ShFAD2-ShFAD3 fusion gene directly and indirectly remodeled both positive and negative loci of the whole FA-related network in transgenic B. napus seeds.

Banana is a significant crop, and three banana leaf diseases, including Sigatoka, Cordana and Pestalotiopsis, have the potential to have a serious impact on banana production. Existing studies are insufficient to provide a reliable method for accurately identifying banana leaf diseases. Therefore, this paper proposes a novel method to identify banana leaf diseases. First, a new algorithm called K-scale VisuShrink algorithm (KVA) is proposed to denoise banana leaf images. The proposed algorithm introduces a new decomposition scale k based on the semi-soft and middle course thresholds, the ideal threshold solution is obtained and substituted with the newly established threshold function to obtain a less noisy banana leaf image. Then, this paper proposes a novel network for image identification called Ghost ResNeSt-Attention RReLU-Swish Net (GR-ARNet) based on Resnet50. In this, the Ghost Module is implemented to improve the network's effectiveness in extracting deep feature information on banana leaf diseases and the identification speed; the ResNeSt Module adjusts the weight of each channel, increasing the ability of banana disease feature extraction and effectively reducing the error rate of similar disease identification; the model's computational speed is increased using the hybrid activation function of RReLU and Swish. Our model achieves an average accuracy of 96.98% and a precision of 89.31% applied to 13021 images, demonstrating that the proposed method can effectively identify banana leaf diseases.

Crop improvement is crucial for addressing the global challenges of food security and sustainable agriculture.  Recent advancements in high-throughput phenotyping technologies and artificial intelligence (AI) have revolutionized the field, enabling rapid and accurate assessment of crop traits on a large scale.  The integration of AI and machine learning algorithms with high-throughput phenotyping data has unlocked new opportunities for crop improvement.  AI algorithms can analyze and interpret large datasets, extracting meaningful patterns and correlations between phenotypic traits and genetic factors.  These technologies have the potential to revolutionize plant breeding programs by providing breeders with efficient and accurate tools for trait selection, reducing the time and cost required for variety development.  However, further research and collaborations are needed to overcome the challenges and fully unlock the power of high-throughput phenotyping and AI in crop improvement.  By leveraging AI algorithms, researchers can efficiently analyze phenotypic data, uncover complex patterns, and establish predictive models that enable precise trait selection and crop breeding.  The aim of this review is to explore the transformative potential of integrating high-throughput phenotyping and AI in crop improvement.  The review will encompass an in-depth analysis of recent advancements and applications, highlighting the numerous benefits and challenges associated with high-throughput phenotyping and intelligence.

The commercialization of genetically modified crops has increased food production, improved crop quality, reduced pesticide use, promoted changes in agricultural production methods, and become an important new productivity to deal with insect pests and weeds while reducing cultivated land area.  This article provides a comprehensive examination of the global distribution of genetically modified crops in 2023.  It discusses the internal factors that are driving this, such as the increasing number of genetically modified crops and the increased variety of commodities.  It also provides information support and application direction guidance for the new productivity of global agricultural science and technology.

The development of receptive endometrium (RE) from pre-receptive endometrium (PE) for successful embryo implantation is a complex dynamic process in which the morphology and physiological states of the endometrial epithelium undergo a series of significant changes, including cell proliferation and apoptosis. However, the molecular mechanisms are not yet fully understood. In this study, a higher circRNA3669 level was observed in PE than in RE of goats. Functional assays revealed that this overexpression promoted the proliferation of goat endometrial epithelial cells (GEECs) by activating the expression of genes related to the PI3K/AKT-mTOR and MAPK pathways, thereby inhibiting apoptosis in vitro. Furthermore, circRNA3669 functioned as a competing endogenous RNA (ceRNA) to upregulate Reticulocalbin-2 (RCN2) expression at the post-transcriptional level by interacting with and downregulating miR-26a in GEECs. In addition, RCN2, which is highly expressed in the PE of goats, was found to be regulated by β-estradiol (E2) and progesterone (P4). Our results demonstrated that RCN2 also affected the key proteins PI3K, AKT, mTOR, JNK, and P38 in the PI3K/AKT-mTOR and MAPK pathways, thereby facilitating GEECs proliferation and suppressing their apoptosis in vitro. Collectively, we constructed a new circRNA3669-miR-26a-RCN2 regulatory network in GEECs, which further provides strong evidence that circRNA could potentially play a crucial regulatory role in the development of RE in goats. 

Wheat germplasm is a fundamental resource for basic research, applied studies, and wheat breeding, which can be enriched normally by several paths such as collecting natural lines, accumulating breeding lines, and introducing mutagenesis materials.  Ethyl methane sulfonate (EMS) as an alkylating agent can effectively introduce genetic variations in a wide variety of plant species.  In this study, we created a million-scale EMS population (MEP) that started with the Chinese wheat cultivars ‘Luyan 128’, ‘Jimai 38’, ‘Jimai 44’, and ‘Shannong 30’.  In the M₁ generation, the MEP had huge phenotypical variations, for instance, >3000 chlorophyll-deficient mutants, 2519 compact spikes, and 1692 male sterile spikes; there were also rare mutations, including 30 independent tillers each with double heads.  Some M₁ variations of chlorophyll-deficiency and compact spikes were inheritable, appearing in the M₂ or M₃ generations.  To advance the entire MEP to higher generations, we adopted a single-seed descendent (SSD) approach; all other seed composites of M₂ were used to screen other agronomically important traits, such as for tolerance to the herbicide quizalofop-P-methyl.  The MEP is available for collaborative projects, and provides a valuable toolbox for wheat genetics and breeding for sustainable agriculture.

Enhancing photosynthetic efficiency is a major goal for improving crop yields under agricultural field conditions and is associated with chloroplast biosynthesis and development.  In this study, we demonstrate that Golden2-like 1a (BnGLK1a) plays an important role in regulating chloroplast development and photosynthetic efficiency.  Overexpressing BnGLK1a resulted in significant increases in chlorophyll content, the number of thylakoid membrane layers and photosynthetic efficiency in Brassica napus, while knocking down BnGLK1a transcript levels through RNA interference (RNAi) had the opposite effects.  A yeast two-hybrid screen revealed that BnGLK1a interacts with the abscisic acid receptor PYRABACTIN RESISTANCE 1-LIKE 1–2 (BnPYL1–2) and CONSTITUTIVE PHOTOMORPHOGENIC 9 SIGNALOSOME 5A subunit (BnCSN5A), which play essential roles in regulating chloroplast development and photosynthesis.  Consistent with this, BnGLK1a-RNAi lines of B. napus display hypersensitivity to the abscisic acid (ABA) response.  Importantly, overexpression of BnGLK1a resulted in a 10% increase in thousand-seed weight, whereas seeds from BnGLK1a-RNAi lines were 16% lighter than wild type.  We propose that BnGLK1a could be a potential target in breeding for improving rapeseed productivity.  Our results not only provide insights into the mechanisms of BnGLK1a function, but also offer a potential approach for improving the productivity of Brassica species.

Recently, increasing natural infection cases and experimental animal challenge studies demonstrated domestic cats are susceptible to multiple subtypes influenza A virus (IAV) infections.  Notably, some subtype IAV strains could circulate in domestic cats after cross-species transmission and even infected humans, posing a threat to public health.  Host factors related to viral polymerase activity could determine host range of IAV and acidic nuclear phosphoprotein 32 (ANP32) is the most important one among them.  However, role of cat-derived ANP32 on viral polymerase activity and host range of IAV is still unknown.  In the present study, a total of 10 feline ANP32 (feANP32) splice variants (including 5 feANP32A, 3 feANP32B, and 2 feANP32E) were obtained from domestic cats by RT-PCR.  Sequence alignment results demonstrated amino acid deletions and/or insertions occurred among feANP32 variants, but all feANP32 proteins were primarily localized to cell nucleus.  Minigenome replication systems for several representative IAV strains were established and the support ability of feANP32 on IAV polymerase activity was estimated.  The results indicated that most feANP32A and feANP32B splice variants were able to support all the tested IAV strains, though the support activity of a single feANP32 protein on polymerase activity varied among different IAV strains.  In addition, the role of feANP32 in supporting H3N2 canine influenza virus was determined by investigating viral replication in vitro.  Collectively, our study systematically investigated the support activity of feANP32 on IAV, providing a clue for further exploring the mechanism of susceptibility of cats to IAV.

Flower organ identity in rice is mainly determined by A-, B-, C- and E-class genes, with the majority encoding MADS-box transcription factors.  However, few studies have investigated how the expression of these floral organ identity genes is regulated during flower development.  In this study, we identified a gene named SUPER WOMAN 2 (SPW2), which is necessary for spikelet/floret development in rice by participating in the expression regulation of pistil identity genes such as OsMADS3, OsMADS13, OsMADS58 and DL.  In spw2 mutant, ectopic stigma/ovary-like tissues have been observed in the non-pistil organs, including sterile lemma, lemma, palea, lodicule, and stamen, suggesting that identities of these organs were severely affected by mutations in SPW2. SPW2 encoded a plant-specific EMF1-like protein that involved in the H3K27me3 modification as an important component of the PRC2 complex.  Expression analysis showed that the SPW2 mutation led to the ectopic expression of OsMADS3, OsMADS13, OsMADS58, and DL in non-pistil organs of the spikelet.  The ChIP-qPCR results showed a significant decrease in the levels of H3K27me3 modification on the chromatin of these genes.  Thus, we demonstrated that SPW2 can mediate the process of H3K27me3 modification of pistil-related genes to regulate their expression in non-pistil organs of spikelets in rice.  This study expands our understanding of the molecular mechanism by which SPW2 regulates floral organ identity genes through epigenetic regulation.

Bacteria play critical roles in regulating soil phosphorus (P) cycling.  The effects of interactions between crops and soil P-availability on bacterial communities and the feedback regulation of soil P cycling by the bacterial community modifications are poorly understood.  Here, six soybean (Glycinemax) genotypes with differences in P efficiency were cultivated in acidic soils with long-term sufficient or deficient P-fertilizer treatments.  The acid phosphatase (AcP) activities, organic-P concentrations and associated bacterial community compositions were determined in bulk and rhizosphere soils.  The results showed that both soybean plant P content and the soil AcP activity were negatively correlated with soil organic-P concentration in P-deficient acidic soils.  Soil P-availability affected the ɑ-diversity of bacteria in both bulk and rhizosphere soils.  However, soybean had a stronger effect on the bacterial community composition, as reflected by the similar biomarker bacteria in the rhizosphere soils in both P-treatments.  The relative abundance of biomarker bacteria Proteobacteria was strongly correlated with soil organic-P concentration and AcP activity in low-P treatments.  Further high-throughput sequencing of the phoC gene revealed an obvious shift in Proteobacteria groups between bulk soils and rhizosphere soils, which was emphasized by the higher relative abundances of Cupriavidus and Klebsiella, and lower relative abundance of Xanthomonas in rhizosphere soils.  Among them, Cupriavidus was the dominant phoC bacterial genus, and it was negatively correlated with the soil organic-P concentration.  These findings suggest that soybean growth relies on organic-P mineralization in P-deficient acidic soils, which might be partially achieved by recruiting specific phoC-harboring bacteria, such as Cupriavidus.

Avian infectious bronchitis (IB) is a highly contagious infectious disease caused by infectious bronchitis virus (IBV), which is prevalent in many countries worldwide and causes serious harm to the poultry industry.  At present, many commercial IBV vaccines have been used for the prevention and control of IB; however, IB outbreaks occur frequently.  In this study, two new strains of IBV, SX/2106 and SX/2204, were isolated from two flocks which were immunized with IBV H120 vaccine in central China.  Phylogenetic and recombination analysis indicated that SX/2106, which was clustered into the GI-19 lineage, may be derived from recombination events of the GI-19 and GI-7 strains and the LDT3-A vaccine.  Genetic analysis showed that SX/2204 belongs to the GVI-1 lineage, which may have originated from the recombination of the GI-13 and GVI-1 strains and the H120 vaccine.  The virus cross-neutralization test showed that the antigenicity of SX/2106 and SX/2204 was different from H120.  Animal experiments found that both SX/2106 and SX/2204 could replicate effectively in the lungs and kidneys of chickens and cause disease and death, and H120 immunization could not provide effective protection against the two IBV isolates.  It is noteworthy that the pathogenicity of SX/2204 has significantly increased compared to the GVI-1 strains isolated previously, with a mortality rate up to 60%.  Considering the continuous mutation and recombination of the IBV genome to produce new variant strains, it is important to continuously monitor epidemic strains and develop new vaccines for the prevention and control of IBV epidemics.

Land use influences soil biota community composition and diversity, and then belowground ecosystem processes and functions. To characterize the effect of land use on soil biota, soil nematode communities in crop land, forest land and fallow land were investigated in six regions of northern China. Generic richness, diversity, abundance and biomass of soil nematodes was the lowest in crop land. The richness and diversity of soil nematodes were 28.8 and 15.1% higher in fallow land than in crop land, respectively. No significant differences in soil nematode indices were found between forest land and fallow land, but their network keystone genera composition was different. Among the keystone genera, 50% of forest land genera were omnivores-predators and 36% of fallow land genera were bacterivores. The proportion of fungivores in forest land was 20.8% lower than in fallow land. The network complexity and the stability were lower in crop land than forest land and fallow land. Soil pH, NH₄⁺-N and NO₃^--N were the major factors influencing the soil nematode community in crop land while soil organic carbon and moisture were the major factors in forest land. Soil nematode communities in crop land influenced by artificial management practices were more dependent on the soil environment than communities in forest land and fallow land. Land use induced soil environment variation and altered network relationships by influencing trophic group proportions among keystone nematode genera. 

Blast disease caused by the hemibiotrophic ascomycete fungus, Magnaporthe oryzae is a significant threat to sustainable rice production worldwide. Studies have shown that the blast fungus secretes vast arrays of functionally diverse proteins into the host cell for a successful disease progression. However, the final destinations of these effector proteins inside the host cell and their role in advancing fungal pathogenesis remain a mystery. Here, we reported that a putative mitochondrial targeting non-classically secreted protein (MoMtp) positively regulates conidiogenesis and appressorium maturation in M. oryzae. Moreover, MoMTP gene deletion mutant strains triggered a hypersensitive response when inoculated on rice leaves displaying that MoMtp is essential for the virulence of M. oryzae. In addition, cell wall and oxidative stress results indicated that MoMtp is likely involved in the maintenance of the structural integrity of the fungus cell. Our study also demonstrates an upregulation in the expression pattern of the MoMTP gene at all stages of infection, indicating its possible regulatory role in host invasion and the infectious development of M. oryzae. Furthermore, Agrobacterium infiltration and sheath inoculation confirmed that MoMtp-GFP protein is predominantly localized in the host mitochondria of tobacco leaf and rice cells. Taken together, we conclude that MoMtp protein likely promotes the normal conidiation and pathogenesis of M. oryzae and might have a role in disturbing the proper functioning of the host mitochondria during pathogen invasion.

Chinese cabbage is an important leafy vegetable crop with high water demand and susceptibility to drought stress.  To explore the molecular mechanisms underlying the response to drought, we performed a transcriptome analysis of drought-tolerant and -sensitive Chinese cabbage genotypes under drought stress, and uncovered core drought-responsive genes and key signaling pathways.  A co-expression network was constructed by a weighted gene co-expression network analysis (WGCNA) and candidate hub genes involved in drought tolerance were identified.  Furthermore, abscisic acid (ABA) biosynthesis and signaling pathways and their drought responses in Chinese cabbage leaves were systemically explored.  We also found that drought treatment increased the antioxidant enzyme activities and glucosinolate contents significantly.  These results substantially enhance our understanding of the molecular mechanisms underlying drought responses in Chinese cabbage.

Canopy temperature, which strongly influences crop yield formation, is closely related to plant physiological traits.  However, the effects of nitrogen treatment on canopy temperature and rice growth have not been comprehensively examined.  We conducted a two-year field experiment with three rice varieties (HD-5, NJ-9108, and YJ-805) and three nitrogen treatments (i.e., zero-N control (CK), 200 kg ha^–1 (MN), and 300 kg ha^–1 (HN)).  We measured canopy temperature using a drone equipped with a high-precision camera at the six stages of the growth period.  Generally, canopy temperature was found to be significantly higher for CK than for MN and HN during the tillering, jointing, booting, and heading stages.  The temperature was not found to be significantly different among the nitrogen treatments between the milky and waxy stages.  The canopy temperature of different rice varieties was found to follow the order: HD-5>NJ-9108>YJ-805, but the difference was not significant.  The canopy temperature of rice was mainly related to plant traits, such as shoot fresh weight (correlation coefficient r=-0.895), plant water content (-0.912), net photosynthesis (-0.84), stomatal conductance (-0.91), transpiration rate (-0.90), and leaf stomatal area (-0.83).  A structural equation model (SEM) showed that nitrogen fertilizer was an important factor affecting the rice canopy temperature.  Our study revealed that: (1) a suite of plant traits was associated with the nitrogen effects on canopy temperature, (2) the heading stage was the best time to observe rice canopy temperature, and (3) at that stage, canopy temperature was negatively correlated with rice yield, panicle number, and grain number per panicle.  This study provides that canopy temperature may be a convenient and accurate indicator of rice growth and yield prediction.

Marker-assisted selection (MAS) and genomic selection (GS) breeding have greatly improved the efficiency of rice breeding.  Due to the influence of epistasis and gene pleiotropy, how to ensure the actual breeding effect of MAS and GS is still a difficult problem to overcome.  In this study, 113 indica rice varieties (V) and their 565 testcross hybrids (TC) were used as materials to investigate the genetic basis of 12 quality traits and 9 agronomic traits.  The original traits and general combining ability of parents, as well as the original traits and mid-parent heterosis of testcross hybrids were subjected to genome-wide association analysis.  In total, 381 primary significantly associated loci (SAL) and 1759 secondary SALs that had epistatic interaction with these primary SALs were detected. 322 candidate genes located within or nearby the SALs were screened, of which 204 were cloned genes.  A total of 39 MAS molecular modules that are beneficial for trait improvement was identified by pyramiding the superior haplotype of candidate genes and desirable epistatic allele of secondary SALs.  All the SALs were used to construct genetic networks, in which 91 pleiotropic loci were investigated.  Additionally, we estimated the accuracy of genomic prediction in parent varieties and testcross hybrids by incorporating no SALs, primary SALs, secondary SALs or epistatic effect SALs as covariates.  Although the prediction accuracy of the four models was mostly not significantly different in the TC dataset, the incorporation of primary SALs, secondary SALs, and epistatic effect SALs significantly improved the prediction accuracy of 5(26%), 3(16%), and 11(58%) traits in the V dataset, respectively.  These results suggested that SALs and epistatic effect SALs identified based on additive genotype can provide considerable predictive power for parental lines.  These results provide insights into the genetic basis of complex traits and valuable information for molecular breeding in rice.

Salinity severely affects plant growth and development.  Thus, it is very crucial to identify the genes functioning in salt stress response and unravel the mechanism of plants to against salt stress.  In this study, the phosphoproteomic assay was used.  A total of 123 of the 4000 quantitative analyzed phosphopeptides were obviously induced by salt stress.  The functional annotation of non-redundant protein database (NR) showed that there were 23 differentially expressed transcription factor, including a phosphopeptide covering the Serine 31 in the RAV transcription factor (named SiRAV1). SiRAV1 was located in nucleus.  Phenotypic and physiological analysis showed that overexpressing SiRAV1 in foxtail millet enhanced salt tolerance and alleviated the salt-induced increases of H₂O₂ accumulation, malondialdehyde (MDA) content and percent of electrolyte leakage.  Further study showed that SiRAV1 positively regulated SiCAT expression to modulate the CAT activity by directly binding to the SiCAT promoter in vivo and in vitro.  Moreover, we found that phosphorylation of SiRAV1 at Ser31 site positively regulated salt tolerance in foxtail millet via enhancing its binding ability to SiCAT promoter but not affected its subcellular localization.  Taken together, our results define a mechanism for SiRAV1 function in salt response where salt-triggered phosphorylation of SiRAV1 at Ser31 enhances its binding ability to SiCAT promoter and the increased SiCAT expression contributes to salt tolerance in foxtail millet.

Sesame is a labor intensive crop with low mechanized harvest mainly for the seed shattering (SS) trait.  In this study, we performed genetic analysis of seed-shattering resistance (SR) trait with a SR sesame mutant 12M07.  Differing from the SS type, the parenchyma cells in the abscission zone of the 12M07 mutant arrange loosely but adhere to the seed coat. Inheritance analysis of six generations derived from 12M07 (SR)×Xiangcheng Dazibai (SS) showed that SR trait is recessive and controlled by single gene pair.  Association mapping of F₂ population with 888619 variants (SNPs and InDels) and 31884 structural variation (SV) determined that only SV12002 in the 5' upstream region of gene Sindi0765000 (named SiHEC3) in SiChr.3 was significantly associated with SR trait.  SiHEC3 encodes the HLH transcription factor.  A 1049-bp deletion occurred in the 5′ UTR of Sihec3 in 12M07.  SiHEC3 was mainly expressed in developing placental tissues, with the expression peak in 45 days after pollination capsules.  A dual-luciferase reporter assay in tobacco confirmed that the promoter activity of Sihec3 reduced because of the deletion of 1049 bp promoter sequence.  Protein-protein interaction network analysis showed that HEC3 co-expressed with nine key proteins, such as SHATTERPROOF1 (SHP1) and SEEDSTICK (STK) which participate in the secondary wall biosynthesis of the absciss layer in plants.  The findings exhibit the important function of SiHEC3 corresponding with the SR trait and supply the gene information for new variety breeding with high mechanized harvest in sesame and other crops.

Quality and yield are the primary concerns in kiwifruit breeding, but currently, research on the genetic mechanisms of fruit size, shape, and ASA (ascorbic acid) content is very limited, which restricts the development of kiwifruit molecular breeding. In this study, we obtained a total of 8.88 million highly reliable SNP (single nucleotide polymorphism) markers from 140 individuals from the natural hybrid offspring of Actinidia eriantha cv. ‘White’ using whole genome resequencing technology. A genome-wide association study was conducted on eight key agronomic traits, including single fruit weight, fruit shape, ASA content, and number of inflorescences per branch. A total of 59 genetic loci containing potential functional genes were located, and candidate genes related to single fruit weight, fruit length, ASA content, number of inflorescences per branch and other traits were identified within the candidate interval, such as AeWUSCHEL, AeCDK1 (cell cycle dependent kinase), AeAO1 (ascorbic oxidase) and AeCO1 (CONSTANS like 4). By constructing an RNAi vector for AeAO1 and injecting it into the fruit of cv. ‘Midao 31’ to interfere with the expression of the AeAO1 gene, the results showed that the activity of ascorbic oxidase in the fruit of ‘Midao 31’ significantly decreased, while the content of ASA significantly increased. Our study provides valuable insights into the genetic basis of variation in A. eriantha fruit traits, which may benefit molecular marker-assisted breeding efforts.

Rapeseed (Brassica napus L.) is the second most widely grown premium oilseed crop globally, mainly for its vegetable oil and protein meal.  One of the main goals of breeders is producing high-yield rapeseed cultivars with sustainable production to meet the requirements of the fast-growing population.  Besides the pod number, seeds per silique (SS), and thousand-seed weight (TSW), the ovule number (ON) is a decisive yield determining factor of individual plants and the final seed yield.  In recent years, tremendous efforts have been made to dissect the genetic and molecular basis of these complex traits, but relatively few genes or loci controlling these traits have been reported thus far.  This review highlights the updated information on the hormonal and molecular basis of ON and development in model plants (Arabidopsis thaliana).  It also presents what is known about the hormonal, molecular, and genetic mechanism of ovule development and number, and bridges our understanding between the model plant species (A. thaliana) and cultivated species (B. napus).  This report will open new pathways for primary and applied research in plant biology and benefit rapeseed breeding programs.  This synopsis will stimulate research interest to further understand ovule number determination, its role in yield improvement, and its possible utilization in breeding programs. 

Identifying the factors that influence farmers' adoption of low-carbon technologies (FA) and understanding their impacts are essential for shaping effective agricultural policies aimed at emission reduction and carbon sequestration in China. Utilizing a meta-analysis of 122 empirical studies, this research delves into 23 driving factors affecting FA and tries to address the inconsistencies found in existing literature. This study systematically examines the effect size, source of heterogeneity, and time-accumulation effect of the driving factors on FA. Key findings are as follows: (1) There is a significant level of heterogeneity in the factors influencing FA, with the exception of farming experience, the sources of heterogeneity come from survey zone, methodology model, technological attributes, report source, financial support, and the sampling year. (2) Age, farming experience, adoption cost exhibit a negative correlation with FA, whereas educational level, health status, technical training, economic and welfare cognition, land contract, soil quality, terrain, information accessibility, demonstration, government promotion, government regulation, government support, agricultural cooperatives member, peer effect, and agricultural income ratio demonstrate a positive correlation. Especially, demonstration and age show a particularly strong correlation. (3) The effect of demonstration, age, economic and welfare cognition, farming experience, land contract, soil quality, information accessibility, government promotion, and support, as well as agricultural cooperative membership and peer effects on FA, are generally stable but exhibit varying degrees of attenuation over time. The effect of village cadre, family income, farm scale, gender, health status, technical training, and off-farm work on FA show notable temporal shifts and maintain a weak correlation with FA. This study plays a pivotal role in shaping China's current low-carbon agriculture policies across various regions. It encourages policymakers to comprehensively consider the stability of key factors, other potential factors, technological attributes, rural economic and social context and their interrelations.

Plant-mediated RNA interference (RNAi) has emerged as a promising technology for insect control. The green peach aphid, Myzus persicae, feeds on over 400 species of host plants. Brassica napus (rape) is the second most important oilseed crop worldwide. M. persicae is highly reproductive and causes severe damage to the rape plants due to its quite flexible life cycle. In this study, we tested the RNAi effects of transgenic rape plants on M. persicae. By in-vitro feeding M. persicae with artificial diets containing double-stranded RNAs (dsRNAs) targeting seven aphid genes, we identified a new gene encoding the partitioning-defective protein 6 (Par6) as the most potent RNAi target. Tissue- and stage-expression analysis of Par6 suggested this gene is highly expressed in the embryo and adult stage of M. persicae. We next generated transgenic rape plants expressing dsPar6 by Agrobacterium-mediated transformation and obtained nine independent transgenic lines. Compared to wild-type control plants, transgenic rape lines expressing dsPar6 showed strong resistance to M. persicae. Feeding assays revealed that feeding transgenic rape plants to M. persicae significantly decreased MpPar6 expression and survival rate and impaired fecundity. Furthermore, we showed that the resistance levels to M. persicae are positively correlated with dsPar6 expression levels in transgenic rape plants. Our study demonstrates that transgenic rape plants expressing dsPar6 are efficiently protected from M. persicae. Interfering with the genes involved in embryo development could be the effective RNAi targets for controlling aphids and potentially other insect pests.

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, ATP5B, RPL7A 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.