Wheat is the most important cereal crop, and drought is the most significant abiotic stress factor that severely affects wheat growth and development. Plant root system, as a primary organ for crops to acquire water and nutrients, directly determines the efficiency of soil water utilization. In recent years, increasing evidence has shown that plant root system architecture (RSA) plays an important role in plant tolerance to drought stress. This review summarizes the current research progress on the regulation of wheat drought tolerance determined by RSA. First, we present how root tropism especially root gravitropism shapes the RSA, summarize the relevant genes and molecular regulatory mechanism involved in root gravitropic growth, and explain how the root tropism-regulated RSA is implicated in wheat adaptation to drought stress. In addition to root tropic growth, the root development also participates in the RSA formation and the plant adaptability to drought stress. Therefore, this review further summarizes how wheat regulates root development to alter its root system morphology (including increasing root length, modifying lateral root number and root hair density, etc.), thereby enhancing its water acqusition from the soil and its adaption to drought environment. The identified genes involved in wheat root development under drought stress conditions are also systematically summarized. Furthermore, as the underground part of plants, the revelation of RSA has always been a challenging task, which hinders our understanding of the relationship between RSA and plant drought tolerance. Therefore, this review also summarized the available techniques used to analyze the RSA at two- and three-dimension levels. These techniques can measure and analyze wheat root length, density, growth direction, and morphology parameters, laying technical support for an insightful understanding of the relationship between wheat RSA and drought resistance. Finally, we discuss the prospect of the improvement of RSA in breeding wheat drought-resistant varieties, as well as provide an outlook for how to identify genes regulating wheat RSA and pinpoint their regulatory mechanism. In summary, the relationship between wheat RSA and drought resistant is closely associated. The continuous development of sequencing techniques, along with the deepening research on the regulatory mechanism of wheat RSA, will provide new means and strategies for the further breeding of drought-tolerance wheat varieties.

Sorghum is the fifth largest grain crop in the world and can be used for food, feed, brewing and bioenergy. Sorghum genetic transformation technology is an essential and important tool in the research of sorghum functional genomics and can also serve as an important complement to traditional breeding methods. In this review, we summarize the research progress of sorghum transformation in recent years, analyze the problems in sorghum genetic transformation and propose strategic solutions to them in order to provide a reference for further improvement of sorghum genetic transformation technology. By summarizing more than 50 literatures on sorghum tissue culture and genetic transformation in recent years, we introduced the current research status of sorghum genotypes, explant sources, and regeneration system construction for genetic transformation, and compared the advantages and disadvantages of four commonly used methods for sorghum genetic transformation: electroporation, pollen-mediated transformation, particle bombardment and Agrobacterium-mediated transformation, summarized the effects of the main components of genetic transformation vectors, including promoters, target genes, selective marker genes and reporter genes, on transformation efficiency, explained the current application status of sorghum genetic transformation, analyzed the main bottleneck problemns in sorghum genetic transformation technology, and studied countermeasures. Sorghum genotypes have a significant influence on tissue culture and P898012 and Tx430 are the most widely used. Gene bombardment and Agrobacterium-mediated transformation are the most commonly used methods for sorghum genetic transformation, and the advantages of Agrobacterium-mediated transformation are gradually emerging. In vector construction, CaMV35S and ubi1 are the most commonly used promoters, and antibiotic resistance genes (nptII, hpt), herbicide resistance genes (bar), and nutrient assimilation genes are the three commonly used selection markers. With the development of sorghum genetic transformation technology and CRISPR/Cas9-mediated gene editing technology, some genes with important agronomic traits have been successfully transferred into sorghum. However, strong genotype dependence, long tissue culture cycle, and poor genetic transformation stability are the main bottlenecks that limit the genetic transformation of sorghum. By introducing morphogenesis regulatory factors, somatic cell generation can be directly performed, which shortens the tissue culture cycle, improves the transformation efficiency, and expands the source of explants. This has become a major breakthrough in sorghum genetic transformation technology. The use of morphogenesis regulatory factors and adoption of cut-dip-budding (CDB) delivery system can further improve the sorghum genetic transformation technology. Combined with the application of CRISPR/Cas9 gene editing technology, they will surely provide an important technical basis for the sorghum molecular breeding and gene function identification.

【Objective】 Livestock production is one of the important emission sources of greenhouse gases, while China is a major country in pig farming. Scientifically assessing the carbon footprint of pig farming system can provide a reference for further promoting carbon emission reduction of animal husbandry. 【Method】 This paper reviewed the research status of carbon footprint assessment of pig breeding system, including model, results and composition. The results of carbon footprint assessment were related to many factors, such as system boundary, emission sources, accounting methods and functional unit. In this study, we considered the main factors which affect the evaluation results, and analyzed the reasons for the difference of results. 【Result】 Through reviewing the domestic and foreign literature on carbon footprint assessment, it was realized that the assessment model of livestock had been constructed well in developed country. The carbon footprint of 1 kg functional unit product was 2.2-10.3 kg CO_2-eq. The assessment results varied due to the different evaluation methods in various studies. Different system boundaries and functional units were the important reasons for different results. The different emission sources, accounting parameters selected for the same emission source, or diverse allocation methods under the same system boundary also led to great differences. For the contribution to the carbon footprint of the pig production system, feed production was the largest link, accounting for 49%-83%; the second was manure management, accounting for 12%-41%. 【Conclusion】 In order to widely precise the carbon footprint of China’s pig production system, the suggestions were as follows: monitoring the key parameters of greenhouse gas emissions for various feeding modes in all regions of China should be carried out; the Chinese carbon footprint assessment database according to the development status of Chinese pig breeding systems should be established; the unified and standardized evaluation methods should be appeared publicly; an carbon footprint assessment model fit for different regions of Chinese production practice should be created to provide data reference support for the sustainable development of Chinese pig production system.

Pre-harvest sprouting (PHS) refers to the germination of cereal crops on the spike in high humidity conditions before grain harvest. Wheat PHS is a significant problem that affects both the yield and quality of wheat. Seed dormancy level is a major factor influencing the resistance of wheat PHS, and domesticated crops often exhibit reduced seed dormancy levels, making cultivated wheat more prone to PHS compared to its wild ancestors. Wheat PHS is mainly regulated by external environmental factors such as temperature and humidity, as well as internal plant hormones (GAs, ABA, IAA, MeJA, ET, BR). Researchers have identified a range of materials resistant to PHS, cloned key genes regulating PHS resistance, such as PM19, MFT, MKK3, Myb10-3D, Vp1. New wheat materials resistant to PHS have been successfully developed through molecular marker-assisted selection, artificial synthesis of wheat, and CRISPR/Cas9 gene editing technology. This article reviews the genetic mechanism of PHS resistance in wheat and the latest progress in PHS resistance breeding research. In the future, it is necessary to continue exploring key genes related to PHS resistance, and employ biotechnological breeding methods to cultivate new PHS-resistant wheat varieties.

【Objective】 This study aimed to investigate the impact of cover crops (wheat and common vetch) on the growth of Chinese cabbage seedlings and the structure of the soil microbial community. The findings could provide the theoretical and technical support for using wheat and common vetch cover crops to alleviate continuous cropping obstacles in Chinese cabbage production. 【Method】In this experiment, there were four treatments: wheat cover crop treatment (W), common vetch cover crop treatment (P), mixture of wheat and common vetch treatment (WP), and no cover crop treatment (CK). The effects of different cover crop treatments on the growth of Chinese cabbage seedlings were studied. Moreover, the effects of wheat and common vetch cover crops on the microbial community of Chinese cabbage rhizosphere were also investigated through qPCR and Illumina MiSeq techniques. In addition, Spearman correlation analysis was conducted to identify the key soil microbial taxa related to Chinese cabbage growth. Then, the changes in soil chemical properties on soil microbial community structure were explored by environmental factor correlation analysis. 【Result】Compared with CK, the cover crop treatments had positive effects on Chinese cabbage growth and decreased soil electrical conductivity (EC) value. The mixed cover crop treatment significantly decreased soil available potassium content, whereas wheat cover crop treatment increased soil pH. The qPCR results showed that the abundance of soil bacterial community was not significantly affected by the cover crop treatment, but increased the abundance of soil fungal community. Both common vetch cover crop treatment and mixed wheat and common vetch cover crop treatment significantly reduced the abundances of Bacillus spp. and Pseudomonas spp. communities. The Illumina MiSeq analysis showed that the relative abundance of genus TM7a was significantly increased by cover treatments, while the relative abundances of Leptolyngbya_EcFYyyy-00, Lophotrichus, Acaulium, and Sodiomyces were decreased. The mixed cover crop treatment significantly increased the relative abundance of Sphingomonas and Massilia and significantly decreased the relative abundance of Fusarium. Spearman correlation analysis showed that Sphingomonas, TM7a, Massilia, and Gemmatimonas were positively correlated with growth. Leptolyngbya_EcFYyyy-00, Acaulium, Lophotrichus, Sodiomyces, and Fusarium were significantly negatively correlated with the growth of Chinese cabbage. Moreover, these cover crop treatments influenced bacterial and fungal diversity indices. The Shannon index and inverse Simpson index for soil bacterial community and Shannon index of soil fungal community significantly decreased in cover common vetch treatment. In contrast, the inverse Simpson index of soil fungal community was increased. The mixed cover crop treatment increased the fungal Shannon index, while the inverse Simpson index of soil fungal community decreased. Principal Coordinates Analysis (PCoA) showed significant differences in soil microbial community structure, with soil EC value as a major environmental factor affecting the structure.【Conclusion】The cover crop treatments exhibited growth-promoting effects on Chinese cabbage seedlings, and the best effect was found in the mixed cover crop treatment. The relative abundances of some Sphingomonas, TM7a, Massilia, other potential growth-promoting bacteria were increased in the cover crop treatments. The relative abundances of some potential plant pathogens Leptolyngbya_EcFYyyy-00 and Fusarium were decreased and the relative abundance of potential biocontrol agent Chaetomium was increased in the mixed cover crop treatment.

【Objective】 Mining the key drought-resistant genes of maize, revealing its drought-resistant molecular mechanism, and providing genetic resources and theoretical guidance for the cultivation of new drought-resistant maize varieties.【Method】Transcriptome data combined with weighted gene co-expression network (WGCNA) and screening methods for physiological and biochemical indicators of drought resistance were used to identify ZmPAL genes associated with drought resistance and rewatering. Genome-wide analysis of the genes encoding PAL was performed using bioinformatics methods. Quantitative real-time fluorescence PCR (qRT-PCR) was used to detect the expression of ZmPAL genes under drought treatment conditions, as well as the expression characteristics of ZmPAL5 among different inbred lines and the expression patterns in different tissues. Finally, genetic transformation was used to analyze the drought resistance function of ZmPAL5 in maize, and the deletion-type Arabidopsis mutant was analyzed for drought resistance with the help of CRISPR/Cas9 technology for the PAL5 homologous gene.【Result】Nineteen maize ZmPAL genes were identified, six of which were clustered on chromosome 5 and encoded proteins that were mostly hydrophilic acidic proteins and relatively evolutionarily conserved in the PAL family of genes. The promoter region of ZmPAL genes contained a large number of cis-acting elements associated with hormonal and abiotic stress responses. Six core genes were identified, four of which were significantly up-regulated for expression after drought treatment. In particular, ZmPAL5 showed an 8.57-fold increase in expression after drought stress. The expression level of ZmPAL5 was found to be significantly higher in the drought-resistant inbred line Zheng 8713 than in the drought-sensitive inbred line B73 under both drought stress and rewatering treatments. Meanwhile, ZmPAL5, a constitutively expressed gene, showed a high level of expression in young stems. Overexpressed ZmPAL5 maize grew well under drought stress, and its relative water content, lignin, chlorophyll, soluble protein, proline content, and activities of superoxide dismutase, peroxidase, catalase, and ascorbate peroxidase were 1.52, 1.49, 1.47, 1.43, 1.44, 1.41, 1.53, 1.41, and 1.35 times, but the malondialdehyde content was 0.65 times that of the wild type. The PAL5-deficient Arabidopsis mutant was sensitive to drought. Under drought stress, its physiological and biochemical indexes showed the opposite trend to those of overexpression of ZmPAL5 maize. 【Conclusion】 Six core genes (ZmPAL3, ZmPAL5, ZmPAL6, ZmPAL8, ZmPAL11, and ZmPAL13) were screened in response to drought stress, in which the expression of ZmPAL5 was positively correlated with drought resistance. ZmPAL5 positively regulated the drought resistance and resilience of the plant by influencing the content of osmotically regulated substances and antioxidant enzyme activities.

【Objective】The study investigated the impact of salicylic acid (SA) priming on the germination vigor and physiological response of rice seeds under low temperatures. It aimed to reveal the expression patterns of genes related to abscisic acid (ABA) and gibberellin (GA) metabolic pathways as well as cell wall relaxation genes by SA priming. This research provided a theoretical basis for the study of rice seed germination at low temperatures.【Method】Using indica three-line hybrid rice Taifengyou 208 seeds as materials, the effects of SA on seed germination vigor and physiology responses under low temperature were analyzed through seed priming treatment, and the expression patterns of genes related to ABA, GA and expansin in response to SA were analyzed by qRT-PCR.【Result】Low temperature (15 ℃) significantly delayed the germination process of rice seeds. In seeds germinated at low temperatures for one day, the endogenous SA concentration was 1.7 times higher than that at normal temperatures (28 ℃). However, for five-day-old seedlings, the SA concentration under low temperature was only 0.6% of that at normal temperatures. SA could effectively enhanced germination vigor of seeds at low temperature, with the most significant effects observed at 2 000 μmol·L^-1 SA. This concentration significantly increased the germination index, vigor index, shoot length, root length, fresh weight, and dry weight of seeds under low temperature conditions. Notably, the vigor index was three times that of non-primed seeds (CK1) and two times that of water-primed seeds (CK2). In terms of physiological indexes, SA priming increased the contents of soluble sugar, proline and active oxygen, enhanced the activities of total amylase, β-amylase, superoxide dismutase (SOD) and catalase (CAT), and decreased the content of malondialdehyde (MDA). Compared with CK1, 2 000 μmol·L^-1 SA decreased the ABA content by 79%, and increased the IAA and GA₁ contents by 32.2% and 2.66 times, respectively. In terms of gene expression, the expression levels of ABA synthesizing genes OsNCED2 and OsNCED3 were decreased by 94.26% and 90.24% compared with CK1 in seeds primed by 2 000 μmol·L^-1 SA, respectively, whereas the expression levels of ABA decomposing genes OsABA8’ox2 and OsABA8’ox3 were 5.9 and 3.9 times higher than that of CK1, respectively. Compared with CK1, SA priming significantly upregulated the expression of GA synthesizing genes OsCPS1, OsKAO and OsGA20ox1, while it significantly downregulated the expression of GA decomposing genes OsGA2ox2 and OsGA2ox6. In several candidate genes encoding cell wall relaxation protein, e.t. expansin, all but OsEXPB11 were significantly upregulated to some extent by priming. Compared with CK1, 2 000 μmol·L^-1 SA increased the expression levels of OsEXPA2, OsEXPB4 and OsEXPB6 to 12.2, 5.9 and 6.1 times, respectively.【Conclusion】SA priming can significantly alleviate the impact of low temperatures on rice seed germination and seedling growth, which is likely due to SA enhancing the activity of antioxidant enzymes such as SOD and CAT, reducing the production of MDA, and increasing the content of soluble sugars and proline, thereby strengthening the tolerance of seeds and seedlings to low temperatures. On the other hand, SA priming decreases endogenous ABA content, increases GA₁ content, enhances the activities of total amylase and β-amylase, and promotes the expression of genes related to cell wall relaxation, thus facilitating seed germination and seedling growth at low temperature.

【Objective】Drought is one of the most destructive environmental stresses limiting wheat production. The novel germplasm with excellent drought tolerance as well as their candidate loci were identified and characterized to enrich the genetic basis of drought tolerance and lay a material foundation for wheat genetic improvement in China. 【Method】In this study, the drought tolerance of 198 wheat accessions introduced from International Dry Area Agriculture Research (ICARDA) were investigated at seedling stage through hydroponic method with PEG6000 simulating drought. Drought tolerance index (DTI) was calculated using the shoot fresh weight, root fresh weight, total biomass and root-shoot ratio, respectively. Genome-wide association analysis was performed using 660K SNP array genotyping to obtain the SNP loci and chromosome regions associating with drought tolerance index. Combined with the expression patterns in root and other tissues, the potential candidate genes were identified, and then they were further verified by qRT-PCR approach with the most drought-tolerant accession IR214 and the most drought-sensitive accession IR36 as materials. Finally, the excellent haplotypes of key candidate genes were analyzed. 【Result】Compared to normal control condition, the growth and development of wheat were significantly impaired under drought treatment. There were also significant phenotypic variations among different accessions with all of the four traits displayed normal distribution. The coefficient of variation ranged from 0.363 to 0.760 with genetic diversity from 0.310 to 0.400. Using the weighted membership function value (D value), the drought tolerance of these accessions was evaluated. Results showed that accession IR214 had the highest D value with 0.851, followed by IR92, IR213, IR235, and IR218, which could be considered as the novel excellent drought-tolerance germplasm. Furthermore, through genome-wide association study (GWAS) analysis, a total of 102 loci were significantly associated with the DTI values based on these four traits, with the phenotypic variation explained value (PVE) from 1.07% to 38.70%, of which 60 loci were associated with above-ground fresh weight, 1 locus associated with underground fresh weight, 36 loci associated with biomass and the remaining 5 loci associated with root-shoot ratio. Then, 31 candidate genes were predicated based on genomic annotation information and LD block. Combined with the expression patterns of them in roots and other tissues, 4 candidates displaying differential expression between CK and drought conditions were obtained. Finally, the expression levels of these 4 candidates were further verified by qRT-PCR method with the most drought- tolerant accession IR214 and the most drought-sensitive accession IR36 as materials to obtain two key candidates associating with drought tolerance. Additionally, their haplotype effects were investigated. It was found that the different genotypes of AX-86174509 locus in TraesCS6A02G048600 gene showed significant differences in drought tolerance, which might be considered as a causal locus.【Conclusion】Totally, 102 loci and 2 key candidate genes (TraesCS5B02G053500 and TraesCS6A02G048600) underlying drought tolerance at seedling stage were detected in ICARDA-introduced wheat, and AX-86174509 in TraesCS6A02G048600 was a potential functional locus.

【Objective】In arid and semi-arid regions, the water and nutrients are scarce in the soil. The phosphorus use efficiency between different wheat genotypes varies greatly. Therefore, identification of low phosphorus-tolerant germplasm and mapping of related loci is helpful for genetic improvement of wheat. 【Method】Using 282 Shanxi wheat varieties as materials, twelve seedling morphological indicators were investigated under three phosphorus concentrations, including SDW, RDW, DW, SFW, RFW, FW, MRL, TRL, RS, RV, RD, and RN. Principal component analysis, membership function analysis, and cluster analysis were used to comprehensively evaluate the low phosphorus tolerance characteristics of different varieties at the seedling stage. On this basis, the trait evolution trend and biomass allocation at seedling stage were analyzed. At the same time, GWAS was used to identify significant loci related to the low phosphorus-related traits. 【Result】The response of different traits to low phosphorus at the seedling stage was different. Lower phosphorus concentrations led to changes in biomass allocation strategy, and shoot growth was less affected by change in phosphorus concentrations than root growth. The decrease in phosphorus concentration inhibited the growth of shoot, and SDW and SFW were significantly reduced. In contrast, low phosphorus promoted root growth, and the indicators of RDW, RFW, MRL, TRL, RV and RN increased significantly. According to the correlation analysis between D-value and morphological indicators, it was found that MRL and RD could be used as selection indicators for low phosphorus tolerance at seedling stage. Based on D-value clustering analysis, 9 low phosphorus tolerant varieties were selected, including Jinmai 46, Jinmai 61, Youmangdahongjing, Hongtumai, Hongheshang, Baikehong, Baixianmai, Huoshaotou, Baishanmai. Analysing trends in trait evolution showed that cultivars were not directly selected for their ability to tolerate low phosphorus. The ability to tolerate low phosphorus decreased first and then increased over time. Before 2010, there was a decreasing trend in the ability of varieties to tolerate low phosphorus, and after 2010, there was an increase in the ability of varieties to tolerate low phosphorus. GWAS stably detected eight loci with R²>10% in three environments, in which 1A_545074550, 2B_489279799, 6A_166899658 and 6A_273060644 were not reported previously.【Conclusion】The MRL and RD can be used as selection indicators for low phosphorus tolerance at seedling stage. A total of nine varieties were selected through comprehensive evaluation of ability in Shanxi wheat to tolerate low phosphorus during seedling stage. Association analysis detected four novel loci associated with low phosphorus tolerance on chromosomes 1A, 2B and 6A, and the results provide germplasm resources and QTL for future low phosphorus tolerance wheat breeding.

The self-sufficiency rate of edible vegetable oil is less than 31 percent in China, with a high degree of import dependence. Rapeseed is the only winter oilseed crop with a wide range of suitable planting region, and it is an important source of edible vegetable oil in China. Planting more rapeseed is an important measure to guarantee national edible oil supply security. Making full use of the winter fields in the southern double cropping rice area to promote “rice-rice-rapeseed” production is an important approach to expand the planting area of rapeseed. The area suitable for the “rice-rice-rapeseed” production mode is mainly distributed in the double cropping rice area of Hunan, Jiangxi, Guangxi and Hubei provinces in China, with a potential area of about 1.87 million hm². According to the conditions of temperature and light resources, three suitable areas for the “rice-rice-rapeseed” production include the ample area, tightly balanced area and the constrained area. All the areas require early-maturing rapeseed varieties with a growth period of around 180 days, which are suitable for being sown in mid- to late October and harvested in mid- to late April. Among a total of 75 new rapeseed lines participated in the early-maturity group of the national rapeseed variety trials from 2013 to 2022, the average growth period ranged from 169.3 to 185.5 days, and the average yield was 1 635.90-2 228.55 kg·hm^-2, with 22 varieties out yielded the check variety. There are 72 early-maturing winter oilseed rape varieties with a growth period less than 190 days were registered by the end of May 2023. These varieties are suitable to be used in the “rice-rice-rapeseed” mode, and most of them are hybrid varieties with low erucic acid and low glucosinolate quality. 11 varieties, Yangguang 131, Fengyou 730, Fengyou 320, Fengyou 847, Ganyouza 906, Shengguang 127, Xiangyou 420, Jingyou 69, Fengyou 112, Huayouza 652, Ganyouza 1009, are the most promoted and applied early-maturing winter rapeseed varieties in the “rice-rice-rapeseed” production area, with more than 135 hm² each in 2022. The present varieties can basically meet the early-maturation demand in the ample area. In the tightly balanced and constraint areas, however, the growth period of these varieties is too long. To expand the production and efficiency of rapeseed industry, it is urgently needed to strengthen the policy and financial security in the future, carry out joint breeding projects for short-growth-period winter rapeseed varieties to further improve the yield in the ample area and shorten the growth period in the tightly balanced and constrained areas. Meanwhile, to strengthen the research and promotion of supporting cultivation technology for elite varieties, match well early rice, late rice, and rapeseed varieties are also good measures to support the expansion of rapeseed production in the “rice-rice-rapeseed” production area. In addition, improving agricultural socialized services, expanding agricultural insurance and increasing subsidies for rapeseed planting to ensure production benefit will enhance the farmers’ enthusiasm for the “rice-rice-rapeseed” production.

【Objective】 In order to provide theoretical basis for molecular breeding of soybean drought resistance, the different evaluation indexes of drought resistance were comprehensively used to screen soybean germplasm with drought-resistance, and the candidate drought-tolerant genes were identified. 【Method】 In 2018, 2019, 2020 and 2021, a total of 188 soybean germplasm were used to determine pod number per plant, biomass per plant and yield per plant under well-watered and drought stressed conditions. Drought resistance index (DI), improved drought resistance index (IDI), weighted drought resistance coefficient (WDC) and weighted drought resistance index (WDI) were used to identify drought resistance of soybean germplasm. The single nucleotide polymorphisms (SNP) loci significantly associated with these parameters were detected by genome-wide association study (GWAS), and the candidate genes for drought resistance were screened by RNA-seq and qRT-PCR analysis of soybean seedling leaves under drought stress. 【Result】 The DI, IDI, WDC and WDI of 188 soybean germplasm varied widely, and five classification criteria for each drought resistance parameter were determined by hierarchical classification method. Among them, Liaodou 15, Liaodou 69, Liaodou 14, Jinzhangzi Huangdou, Zhonghuang 606, Kexin 3 and Koreane 4 were identified as first-grade drought resistant by all evaluation methods. By using GWAS for DI, IDI, WDC and WDI, a total of 15 significantly SNP loci were detected under multiple environments, and the contribution rate of these loci to phenotypic variation ranged from 12.46% to 25.60%. There are 226 annotated genes within 200 kb intervals of upstream and downstream for the significant SNP loci. According to RNA-seq and qRT-PCR analysis of drought-resistant cultivar Liaodou 14 and drought-sensitive cultivar Liaodou 21 under drought stress, a total of 32 annotated genes were significantly differentially expressed by drought stress. Among them, eight genes including Glyma.02G182900, Glyma.04G012400, Glyma.06G258900, Glyma.15G100900, Glyma.01G172600, Glyma.04G012300, Glyma.01G172200 and Glyma.04G010300, encodes calcium-dependent protein kinase, universal stress protein A-like protein, G-type lectin S-receptor-like serine/threonine-protein kinase, protein phosphatase 2C, isoflavone reductase, isoflavone reductase homolog, auxin-like protein, and bZIP transcription factor, respectively. 【Conclusion】 Seven germplasm were identified from 188 soybean germplasm by comprehensive application of different drought tolerance parameters. A total of 15 SNP loci significantly associated with drought tolerance parameters were identified by GWAS, and eight candidate genes were identified.

【Objective】Canopy activity is an important indicator of wheat growth and development. Identification the loci for canopy activity related traits and their relationships with grain yield (GY) related traits can provide theoretical support for the dissection of genetic structure of yield trait and assisted wheat breeding.【Method】A total of 166 wheat varieties originating from both domestic and international sources were planted in Anyang of Henan province and Suixi of Anhui province in cropping seasons. With the integrated physical map containing 326 570 SNP markers from the wheat 90K and 660K chips, genome-wide association studies for normalized difference vegetation index at seedling stage (NDVI-S) and 10 days after flowering (NDVI-10), and chlorophyll content in flag leaf at 10 days after flowering (Chl-10) were carried out. The results were compared with the previous study for GY related traits using the same material. 【Result】Analysis of variance (ANOVA) showed highly significant effects (P<0.01) of genotypes, environments and genotype×environment interactions on NDVI-S, NDVI-10 and Chl-10, with broad-sense heritabilities (h2 b) of 0.81, 0.81 and 0.91, respectively. Thirteen, 12 and 15 loci were detected to be significantly correlated with NDVI-S, NDVI-10 and Chl-10, respectively, among which 12, 11 and 12 were new, and five loci were associated with two or more traits. The number of favorable alleles for NDVI-S, NDVI-10 and Chl-10 ranged from 4 to 11, 3 to 11 and 4 to 12, respectively, in the 166 wheat varieties, and the phenotypic values increased with the accumulation of favorable alleles. NDVI-S showed significant (P<0.01) and positive correlations with thousand-kernel weight, kernel length and kernel width. Chl-10 was significant positively correlated with GY and flag leaf width (P<0.01), whereas significant negatively correlated with spike number per unit area, plant height and uppermost internode length (P<0.01). Seven pleiotropic loci were detected co-related with both GY and canopy activity related traits.【Conclusion】NDVI-S can be directly used for selection of yield traits. The stable and pleiotropic loci detected in this study can be used for marker-assisted selection.

【Objective】Exploring the genetic loci and related genes that control cottonseed size traits to lay a foundation for subsequent study on the molecular mechanism cottonseed size formation. 【Method】The upland cotton recombinant inbred line (RIL) population composed of 300 lines was used as the research material. Seven phenotypic traits including cottonseed index (SI), seed length-cutting acreage (SLA), seed length-cutting perimeter (SLP), seed length (SL), seed width (SW), length-width ratio (LWR) and seed roundness (SR) were evaluated in four environments. The RIL population was genotyped by liquid phase chip strategy. The high-quality single nucleotide polymorphism (SNP) markers and phenotypic data were subjected to perform genome-wide association study (GWAS), and quantitative trait nucleotides (QTNs) associated with cottonseed size-related traits were mined. The genetic effects of QTNs were analyzed to identify candidate genes. 【Result】Seven cottonseed size-related traits showed a continuous normal distribution in four environments, which expressed a sizable phenotypic variation. The coefficient of variation ranged from 1.82% to 10.70%. The influencing effect on trait formation were basically as genotype>environment>genotype × environment, indicating suitability for GWAS analysis of these results. Correlation analysis showed that the seed index was significantly correlated with SLA, SLP, SL and SW, and LWR was significantly correlated with SR, indicating the possible existence of pleiotropic loci. GWAS was performed using the 3VmrMLM model, and a total of 47 QTNs were associated with these seven traits. A total of 11 QTNs were associated on chromosome A07, of which three physical loci in the region of 71.99-72.87 Mb, A07:71993462, A07:72067994 and A07:72198802 were very close and simultaneously associated with SI, SLA, SLP, SL and SW in four environments. The average value of R2 between markers was>0.8 (P<0.001), showing a large linkage disequilibrium. Genetic effect analysis showed that there were two haplotypes in this region. Among these cottonseed size relating traits, haplotype Ⅱ and haplotype I were significantly different, indicating that these loci directly affected cottonseed size traits and could be used for molecular marker-assisted selection. The expression patterns of the genes in the interval were analyzed using TM-1 transcriptome data. The results revealed that Gh_A07G1767 was preferentially expressed and Gh_A07G1766 specifically expressed at the stage of cottonseed development. These results speculated that these genes may play an important role in the growth and development of cottonseed.【Conclusion】47 QTNs were identified, and two candidate genes related to cottonseed development were screened.

【Objective】The F₁ hybrid sterility between XI/indica and GJ/japonica severely hinders the utilization of hybrid advantage between subspecies. Exploring the genetic mechanism and identifying new regulatory genes for XI/GJ hybrid sterility will provide theoretical basis for promoting genetic improvement of XI/GJ hybrid seed setting rate. 【Method】A series of stable genetic recombination inbred lines (RILs) containing 95 plant lines were derived from the cross between XI variety Habataki and GJ variety Sasanishiki after 10 generations inbred using single seed descent method. High throughput sequencing was performed on both parents and RILs on the Illumina platform, and the distribution of Habataki pedigree in RILs was analyzed at the whole genome level. The segregation distortion regions were identified, and hybrid sterile related gene loci were screened within the segregation distortion regions, then identified candidate genes through sequence alignment comparison. The targeted gene was knockout to verify the function using CRISPR gene editing technology. 【Result】The hybrid F₁ plants derived from the cross between Habataki and Sasanishiki showed significant heterosis in panicles, grains per panicle, and thousand grain weight, but its seed setting rate significantly decreased. I₂-KI microscopy revealed a significant decrease in F₁ pollen fertility. High throughput sequencing of the entire genome of RILs revealed significant segregation distortion on Chr.1, Chr.3, Chr.5, Chr.6, Chr.7, and Chr.12, indicating that the genotype in this region tends towards the Habataki. Sequence alignment comparison revealed that Sc, S5, and HSA1 are target genes for the segregation distortion on Chr.3, Chr.6, and Chr.12. The CRISPR gene editing mutants with a knock-out Sc-Haba-3 allele in Habataki successfully improved the pollen fertility and seed setting rate of F₁ hybrid with Sasanishiki. A complex structural variation was found between Sasanishiki and Habataki in the segregation distortion of Chr.1. A 24.7 kb segment containing 4 predicted genes in the Sasanishiki genome was replaced by a 64.8 kb segment containing 10 predicted genes in Habataki, the structural variation may involve in controlling the hybrid sterility of XI and GJ cross. 【Conclusion】This study detected multiple XI/GJ hybrid infertility related loci, and successfully improved F₁ fertility by using CRISPR gene editing to knock out multiple copies of Sc in Habataki, locking in the target gene in the Sd region of Chr.1.

【Objective】 Analyzing the evolutionary patterns of genetic diversity of wheat germplasm resources, providing richer and more diverse original parental materials for parental selection and variety selection in wheat breeding in Shanxi Province.【Method】 Using 323 landraces and 105 cultivated varieties as natural populations, a 55K SNP chip was used to perform whole genome scanning on 428 natural populations, analyzing genetic diversity, genetic structure, principal components, genetic clustering, and phylogenetic relationships among varieties. 【Result】 The distribution of SNP loci on 21 chromosomes ranged from 329 to 1 639, with an average of 1 152. The distribution range of 7 partially homologous groups is 2 154-3 852, with an average of approximately 3 456. The distribution pattern of the genome is: B genome>A genome>D genome. Genomic annotation polymorphism markers have the highest distribution among gene regions, accounting for about 50%. Analysis shows that SNP loci cover 21 chromosomes, 7 homologous groups and 3 genomes, but their distribution varies, with a polymorphism rate of 45.60%. The average observed heterozygosity of the entire population (0.0185) was lower than the expected heterozygosity (0.4992). The changes in the average shannon wiener index and polymorphism information content of the entire natural population were not significant. Comparing the diversity parameters of natural populations, it was found that the genetic diversity of the population is not high, the genetic diversity of cultivated varieties is slightly higher than that landraces. The population structure analysis of natural populations divides the population into two major groups. Group I has 307 materials, mainly landraces. Group Ⅱ has 121 materials, mainly cultivated varieties. The natural groups were divided into five groups by both principal component and cluster analysis. The average genetic distance between the varieties in group I is 0.21831, with a range of 0.00127-0.72461. The average genetic distance between varieties in group Ⅱ is 0.14619, with a range of 0.00038-0.76489. The varieties in group Ⅲ the average genetic distance between the varieties of group Ⅳ is 0.16521, with a range of 0.00049-0.43033. The average genetic distance between varieties of group Ⅳ is 0.17643, with a range of 0.00118-0.60496. The average genetic distance between varieties of group V is 0.12039, with a range of 0.00042-0.37032. It can be seen that the variation of genetic distance between wheat varieties is large in Shanxi Province. However, the average genetic distance value is low, the clustering classification differentiation is obvious. The genetic relationship between varieties in the middle of the group is relatively close. Comparison shows that the average genetic distance of group I and group Ⅳ is higher than that of group Ⅱ, group Ⅲ and group V. The genetic distance variation of group I and group Ⅳ is higher than that of group Ⅲ and group V. It can be seen that the genetic distance of cultivated varieties is generally greater than that of landraces.【Conclusion】 The 55K SNP chip was used to analyze the genetic diversity of Shanxi winter wheat germplasm resources, clarifying the distribution characteristics of genetic diversity at the genomic level between Shanxi wheat cultivated varieties and landraces. The introduction of exogenous genes into cultivated varieties is beneficial for improving genetic diversity, while the genetic diversity of landraces is relatively low. At the same time, the genetic relationships of very few varieties are polarized, so it should be rationally used differently in subsequent utilization.

【Objective】The twin-screw extrusion process was used to produce extruded rice products with P. eryngii powder and rice flour as raw materials, and the predicted glycemic index of the products was analyzed to provide technical support for the development of edible mushroom extruded rice products with comprehensive nutrition and low glycemic index. 【Method】 The content of protein, crude fiber, amino acid and fat of extruded rice with 20%, 40% and 60% P. eryngii powder were determined. RVA rapid viscosity analyzer and rotary rheometer were used to analyze the gelatinization properties and rheological properties of P. eryngii powder with different additive amounts. The internal structure, color, texture properties, starch hydrolysis rate, predicted glycemic index (pGI) and sensory score of extrusion-rice with different dosage of P. eryngii were analyzed by scanning electron microscopy, colorimeter, texture analyzer, and in vitro digestion and sensory evaluation. 【Result】Compared with blank extruded rice, the content of protein, crude fiber and amino acid in extruded rice was significantly increased by adding P. eryngii powder, and the content of protein was increased by 71.84%, 70.19% and 96.70%, and the content of crude fiber was increased by 14.22%, 28.88% and 49.81%, respectively. The total amino acid content increased by 40.98%, 58.96% and 66.03%, respectively. The gelatinization and rheological properties of the mixed powder system showed a decreasing trend with the increase of the added amount of P. eryngii powder, and the peak viscosity, valley viscosity, final viscosity, disintegration value and recovery value gradually decreased, and G'and G" gradually decreased. The typical weak gel accounted for a large proportion of elasticity, and the added amount of 20% P. eryngii powder was the closest to the powder parameters of rice flour. Compared with the blank extruded rice, it was found by scanning electron microscopy that the cross section pores of extruded rice increased with the increase of the powder content, and the structure tightness decreased. Among them, 20% of extruded rice had tight structure and less cracks. The values of L^* and b^* in extruded rice of P. eryngii by colorimeter decreased significantly, and a^* increased first and then decreased. The water absorption rate and cooking loss rate after cooking increased with the addition of P. eryngii powder, but the expansion rate had no significant effect, and the cooking characteristics of 20% P. eryngii extruded rice were the best. The hardness, elasticity, adhesiveness and chewability of the extruded rice increased with the addition of P. eryngii powder, while the cohesiveness and resilience first decreased and then increased. Starch digestibility, rapidly digestible starch (RDS), slowly digestible starch (SDS) and predicted glycemic index (pGI) also increased with the increase of P. eryngii powder addition, but they were all lower than that of normal rice and blank extruded rice, while resistant starch (RS) content was greater than that of the two groups and increased with the increase. The predicted glycemic index (pGI) value of 20% P. eryngii extruded rice was the lowest 60.18, which was 20.60 lower than that of normal rice, and the content of resistant starch (RS) was the highest. Sensory evaluation showed that the appearance structure, palatability, taste, cold rice texture and comprehensive score of P. eryngii extruded rice decreased with the increase of the amount of P. eryngii powder, while the odor score decreased first and then increased. From the point of view of the score, 20% of P. eryngii extruded rice was 66.75 scores, which was the most acceptable to consumers. 【Conclusion】 20% of extruded rice with P. eryngii was nutrient-rich and had suitable texture indexes. The predicted glycemic index (pGI) was 60.18, which was 20.60 lower than that of normal rice. The nutritional value of extruded rice was significantly improved by adding P. eryngii powder, and the food quality was better.

【Objective】Sugarcane brown rust, caused by Puccinia melanocephala H. Sydow & P. Sydow, is one of the most destructive fungal diseases in sugarcane industry, leading to a reduction in sucrose content by 10% to 36%. Previous studies revealed that the major gene(s) for brown rust resistance was located in the Bru1 genomic region. The cloning of crucial candidate genes and their functional investigation should provide important candidate gene resources for breeding new sugarcane cultivars resistant to brown rust.【Method】In this study, the contig-level genomic information of sugarcane cultivar ROC22 was obtained by utilizing the PacBio Sequel Ⅱ sequencing platform, and the Bru1 region associated with brown rust candidate resistance gene was identified, annotated, cloned, and analyzed for tissue specificity, expression patterns in resistant and susceptible sugarcane cultivars, subcellular localization, and transient overexpression.【Result】The results demonstrated that, firstly, using tightly associated molecular markers R12H16 and 9O20-F4 within the Bru1 region, a total of 33 genes were annotated from this region, and five candidate resistance genes (Brrg99, Brrg103, Brrg108, Brrg115, and Brrg116) were selected based on the typical/conserved domains of the resistance genes. Secondly, the full-length sequence cDNA sequence of the Brrg116 gene with an open reading frame of 729 bp and encoding 242 amino acid residues, was cloned from sugarcane cultivar ROC22. The gene sequence was aligned with the genomic databases of Saccharum spontaneum, S. officinarum, and the closely related diploid species sorghum. A high degree of sequence similarity was observed between S. spontaneum and S. officinarum, exceeding 98%. In contrast, its similarity with sorghum was 93.77%. Phylogenetic tree analysis suggests that this gene may originate from S. spontaneum species during sugarcane domestication. qRT-PCR analysis showed its constitutive expression in various tissues of sugarcane cultivars, particularly with the highest expression level in the +1 leaf, which was 5.2 times higher than in the bud. Furthermore, significantly differential expression of Brrg116 was observed at 6 h and 72 h post-inoculation with the brown rust pathogen in resistant and susceptible sugarcane cultivars. Subcellular localization analysis indicated that the encoded protein of this gene was located on the cell membrane. Finally, the Brrg116 gene was transiently overexpressed in Nicotiana benthamiana leaves, followed by inoculation with Fusarium solani var. coeruleum. The color of Nicotiana benthamiana leaves showed a gradual deepening phenotype by 3,3'-diaminobenzidine (DAB) staining. The genes related to hypersensitive response, salicylic acid, and ethylene synthesis had a sustained upregulation pattern, evidencing that the expression of these genes can enhance plant disease resistance.【Conclusion】Brrg116 was constitutively expressed in different sugarcane tissues and in response to brown rust pathogen infection, it showed a rapidly induced expression pattern in the resistant sugarcane cultivar. Overexpression of Brrg116 could trigger defense responses through hormone signaling pathways such as salicylic acid and ethylene. It is thus hypothesized that this gene may play a significant regulatory role in enhancing plant disease resistance.

【Objective】 As an important negative transcriptional regulator in cotton MADS-box gene family, AGL16 plays an important role in resisting drought and salt stress. Virus-induced gene editing (VIGE) was used to screen sgRNAs that knockout the cotton GhAGL16 and verify the specificity of these sgRNAs, which laid a foundation for the creation of cotton agl16 mutants.【Method】 Three sgRNAs could knockout GhAGL16 were predicted based on the actual GhAGL16 genomic sequence cloned on subgroup A and D in cotton YZ-1; Three CLCrV-AtU6-26::GhAGL16-sgRNAs vectors were constructed based on the cotton leaf crumple virus (CLCrV)-mediated VIGE system; The expression of Cas9 in Cas9 over-expression (Cas9-OE) plants was detected by qPCR to determine whether Cas9 was stably genetically expressed; Three CLCrV-AtU6-26::GhAGL16-sgRNAs vectors were transformed respectively into Cas9-OE cotton cotyledons and detected the mutations of the three targets by PCR/RE; The secondary structures of three GhAGL16-sgRNAs were analyzed by bioinformatics; Hi-TOM high-throughput sequencing was performed on mutant plants to determine the efficiency of gene editing. Meanwhile, the off-target rate of GhAGL16-sgRNA2 mutant plants were identified to detect the specificity of gene editing.【Result】 Three sgRNAs capable of simultaneously knocking out GhAGL16-A and D subgroups were successfully constructed. The detection results of Cas9 expression showed that Cas9 was stably expressed in different Cas9-OE cotton plants. PCR/RE mutation detection results showed that GhAGL16-sgRNA2 could be effectively used for the knockout of GhAGL16. Different mutation types with base deletions appeared at the target sites of cotton subgroups A and D, while GhAGL16-sgRNA1 and GhAGL16-sgRNA3 were two invalid sgRNAs. The secondary structure analysis results of three GhAGL16-sgRNAs indicated that GhAGL16-sgRNA1 and GhAGL16-sgRNA3 might have a phenomenon that the guide sequence was easy to pair with other sequences and difficult to unwind, which interfered with the recognition of the target site by the guide sequences and lead to the invalid sgRNA. To further quantify the editing efficiency of GhAGL16-sgRNA2 on GhAGL16, the mutation detection results of each Cas9-OE plant transformed with CLCrV-AtU6-26::GhAGL16-sgRNA2 showed that six of the nine Cas9-OE plants were mutated, with a mutation efficiency of 66.67%. In addition, Hi-TOM high-throughput sequencing results showed that the editing efficiency of GhAGL16-sgRNA2 for GhAGL16 was 13.69%-54.42%. The off-target identification results showed that no off-target phenomenon was detected at the four predicted off-target sites, indicating that GhAGL16-sgRNA2 not only has high gene editing efficiency, but also has specific gene editing specificity.【Conclusion】 A sgRNA that can effectively knocking out the GhAGL16 was obtained by transforming Cas9-OE cotton using the CLCrV-mediated VIGE system, providing an ideal sgRNA for creating cotton agl16 mutants.

【Objective】The objective of this study is to perform the genome-wide identification of the maize ACO (1-aminocyclopropane- 1-carboxylate oxidase) gene family, analyze its expression patterns in different organs and developmental stages of maize, as well as in response to exogenous hormones and pathogen infection, and to lay the foundation for clarifying the function of the maize ACO gene family.【Method】Using bioinformatics methods, the ACO was identified in the genome of maize B73 inbred line, and its gene structure, protein physicochemical properties, phylogenetic relationships among family members, and conserved motifs were analyzed. The expression patterns of the ZmACO gene family were analyzed using real-time fluorescence quantitative PCR (qRT-PCR) technology.【Result】Except for ZmACO11, all members of the ZmACO family have Fe²⁺ binding sites and substrate ascorbic acid binding sites. The phylogenetic tree showed that ZmACO2 and ScACO are in the same branch and have a close genetic relationship, with a Bootstrap value of 98. The gene expression analysis indicated that ZmACO2, 5, 9, 15, 20 and 35 were actively expressed at various developmental stages and exhibited dominant expression in leaves, so the six genes mentioned above were selected for the next step of testing. Spraying ethephon resulted in fluctuations in the expression of all six genes mentioned above, the expression level of ZmACO2 was significantly affected, with a variation multiple of about 8 times. The expression levels of these six genes fluctuated within 0-24 h of ethephon treatment. But after 24 h of treatment, all gene expression levels were close to 0. After salicylic acid treatment, the expression level of ZmACO5 was significantly affected, with a variation multiple of about 2 times. The expression levels of other genes were close to 0 at 24 h after treatment. The expression levels of ZmACO9, 35 fluctuated between 3 to 12 h, and the expression levels of ZmACO2, 15, 20 showed a downward trend. In response to biological stress, the expression levels of ZmACO5, 9 showed the greatest changes after inoculation with the Setosphaeria turcica, and on the 10th day after inoculation, the expression levels of these two genes increased by 50 and 60 times, respectively, compared to the control group. After inoculation with the Cochlibolus heterostrophus, the expression level of ZmACO5 changed significantly, with a variation multiple of 40-90 times. After inoculation with Rhizoctonia solani, the expression levels of ZmACO5, 35 showed the greatest changes, reaching 200 times on the 3rd day of inoculation.【Conclusion】The expression changes of ZmACO2, 5, 20 and 35 are most active during the growth and development of maize; The application of exogenous ethephon and salicylic acid can significantly affect the expression level of ZmACO genes. The expression level of ZmACO genes significantly changes after bacterial infection in maize, which is closely related to the response to biological stress.

【Objective】In the context of intensified global climate change and frequent meteorological disasters, exploring the significance of meteorological factors on maize yield and accurately predicting maize yield is crucial for enhancing agricultural production and field management. This paper aims to quantitatively analyze the importance of meteorological factors during various growth stages of maize on yield and to establish a highly accurate and reliable maize meteorological yield stacking ensemble learning estimation model for yield prediction.【Method】Using the HP filter method and moving average method, trend yield models for various counties were determined, and county-level meteorological yields were isolated. Three ensemble learning methods (light gradient boosting machine (LightGBM), Bagging, and Stacking) were employed. By analyzing daily meteorological data and maize yield data over 34 years from 596 county-level administrative regions and meteorological observation stations across 12 provinces in China, three maize meteorological yield prediction models based on different ensemble learning frameworks (LightGBM, Bagging, and Stacking) were established.【Result】The HP filter method as the trend yield model was mainly applicable in the regions of Shaanxi, Henan, Jiangsu, and Anhui. Compared to the HP filter method, more counties were suitable for the moving average method, with most counties having the R² distribution above 0.8. Based on a 5-year sliding forecast and model accuracy evaluation indicators, the mean absolute percentage error (MAPE) for the three models on maize yield was below 6%. The Stacking model achieved a MAPE of 4.60%, indicating high prediction accuracy and strong generalizability. The results demonstrate that the maize meteorological yield stack-integrated learning prediction model has higher accuracy and stronger robustness. It effectively utilizes the characteristics and advantages of each base learner to improve prediction accuracy, making it the optimal model for predicting maize yield based on meteorological factors. Furthermore, a quantitative analysis of the impact of 27 meteorological factors during the maize growth stages in 12 provinces, using the random forest feature importance score, is of reference value for crop monitoring and field management.【Conclusion】The three ensemble learning methods, especially the stack-integrated learning model (Stacking), can accurately reflect the spatiotemporal distribution changes in maize yield. The stack-integrated learning model for maize yield based on meteorological factors provides a new method for field management and accurate prediction of maize yield.

【Objective】 Drought is one of the serious abiotic stresses influencing maize production worldwide. Understanding the molecular mechanisms underlying drought tolerance is of great importance in maize improvement. 【Method】 In the present study, representative maize inbred lines were selected for field drought experiment and the drought tolerance was estimated based on leaf relative water content and anthesis-silking interval. Two inbred lines with contrasting drought tolerance was used for genome resequencing and transposable element insertions were identified. The DNA methylation level of leaf and root tissues under different water treatments of the two lines were measured using Whole Genome Bisulfite Sequencing (WGBS). And the gene expression profiles of these samples were detected by RNA sequencing. The integrative atlas of transposable element insertion/deletion variants, differentially methylated regions and differentially expressed genes in the two lines were constructed. In addition, the transposable element insertion/deletion variant mediated epigenetic regulation of ZCN7, which has been conferred the drought tolerance function in our previous study, was analyzed. 【Result】 The field experiment showed inbred line H082183 showed highest drought tolerance, in which the leaf relative water content and anthesis-silking interval had no significant difference between drought and well-watered treatments. While the Lü28 displayed lowest leaf relative water content and largest anthesis-silking interval under drought. Thus, these two lines were selected for further analysis. A total of 333 754 and 333 296 transposable element insertions were identified in the genome of H082183 and Lü28, respectively. And 89 954 transposable element insertions were polymorphism between two lines. The transposable element insertions, introns and promoters showed higher CG and CHG methylation level than exons and untranslated regions. Furthermore, 41 352 differentially methylated regions were identified between H082183 and Lü28. And 60% of the differentially methylated regions were located in the transposable element insertion\deletion variants and 5 kb flanking regions. The gene expression level showed negatively correlated with CG and CHG methylation. Differentially expression analysis between H082183 and Lü28 obtained 4 196 and 3 500 differentially expressed genes in leaf and root under drought, respectively. The 19.5% and 19.7% of these differentially expressed genes were located in differentially methylated regions. Three LTR transposable element insertions were identified in the 34 kb region of ZCN7 in Lü28 but absent in the genome H082183. And the DNA methylation levels of CG and CHG in this genomic region were significantly higher in Lü28 than H082183 under both drought and well-watered environments, which conferred higher ZCN7 expression in the drought tolerant line H082183. 【Conclusion】 Our results highlight the important role of interplay of transposable element insertions, DNA methylation and gene expression under drought. And gene expression regulation mechanism of ZCN7 relied on the transposable element insertion/deletion variants mediated DNA methylation was proposed.

【Objective】The global warming potential of agro-ecosystem is an important part of affecting global climate change. This study clarified the effects of biochar and straw application on the global warming potential of farmland through field experiments, in order to provide theoretical basis for mitigating climate change and agricultural waste resource utilization. 【Method】In our study, a three-year field positioning experiment was carried out in the winter wheat-summer maize rotation farmland in the Agro-ecosystem Experimental Station in Huantai County, Shandong Province. Four treatments were set up in the experiment: ① control (CK); ② biochar (C); ③ straw return(S); ④ straw return combined with biochar (CS). The nitrogen, phosphorus and potassium fertilizers were applied in all treatments. The nitrogen fertilizer was 200 kg·hm^-2·a^-1 urea, the phosphate fertilizer was 55 kg·hm^-2·a^-1 superphosphate and the potassium fertilizer was 40 kg·hm^-2·a^-1 potassium sulfate. We measured the flux of greenhouse gases (CO₂, N₂O and CH₄) by static chamber-gas chromatography method, calculated the net global warming potential (NGWP) and greenhouse gas emission intensity (GHGI), and analyzed the effect of biochar and straw on the greenhouse gas emissions and the net global warming potential. 【Result】(1) From the emission of greenhouse gases in the three-year experiment, the average annual cumulative Re emissions of S and CS treatments increased by 47.8% and 67.9% (P<0.05), respectively, compared with CK. The average annual cumulative N₂O emission under C treatment reduced by 20.3% than CK treatment (P<0.05), and the cumulative N₂O emission under S and CS treatments increased by 23.6% and 41.4% (P<0.05), respectively. (2) In comparison with CK treatment, soil organic carbon change (ΔSOC) of C, S and CS treatments increased significantly, and the largest increase was in the CS treatment by 150.6% (P<0.05). Compared with the first year, soil organic carbon change (ΔSOC) of C, S and CS treatments increased by 21.7%, 20.8% and 17.8% (P<0.05), respectively. There were significant differences in net global warming potential (NGWP) and greenhouse gas emission intensity (GHGI) among all treatments. Compared with CK treatment, the average annual NGWP of C, S and CS treatments decreased by 163.5%, 171.7% and 273.0% (P<0.05). Compared with the first year, the NGWP of C, S and CS treatments in the third year decreased by 73.4%, 58.8% and 54.7% (P<0.05), respectively. The annual average GHGI of C, S and CS treatments decreased by 236.2%, 253.3% and 388.9% than CK treatment (P<0.05), respectively. In comparison with the first rotation, the GHGI of C, S and CS treatments in the third rotation decreased significantly by 126.3%, 98.2% and 108.6% (P<0.05), respectively. The yield of C, S and CS treatments remained stable with a slight increase, but there was no significant difference between the yield of CK, C, S and CS treatments. 【Conclusion】Compared with applying chemical fertilizer alone, the methods of adding biochar, straw return and straw return combined with biochar could prevent the NGWP without reducing crop yield. Among these treatments, straw return combined with biochar could reduce the net global warming potential to the greatest extent. Therefore, straw return combined with biochar is an effective measure to enhance carbon sequestration and mitigate climate change.

【Objective】As a new Plant growth regulator, 14-hydroxylated brassinosteroids（14-HBR） increase biological activity by 50% than the traditional Brassicin sterols, while the relation effect of 14-HBR on rapeseed growth, yield and seed coating pesticide were not clear. 【Method】In this study, 14-HBR regulator and pesticide are used to treat the seeds in mid-duration winter rapeseed variety (Yangguang 2009) and early-duration variety (Yangguang 131), investigated germination, seedling growth, insect resistance, and yield, to reveal the interaction effects of environment, variety genotype and 14-HBR. 【Result】0.0075 and 0.015 mg·L^-1 14-HBR treated seed increased significantly germination potential in medium duration rapeseed, but decreased germination potential and germination rate significantly as mixed with pesticide. 14-HBR treated seed had no significant effect on germination rate and germination potential in short duration rapeseed. The 14-HBR showed better biological activity in seedling growth and yield than that of Brassinolide, 0.0075 and 0.015 mg·L^-1Brassinolide increased by an average of 5.19% and 8.15%, 0.0075 and 0.015 mg·L^-1 14-HBR increased by an average of 11.98% and 5.50%, respectively. 14-HBR mixed with seed pesticide of Clothianidin and Thiamethoxam, also increased seedlings weight and yield. The yield of Thiamethoxam and Clothianidin seed treatments increased by 4.7% and 4.6% independently. The yield of mixed with 0.0075 and 0.015 mg·L^-1 14-HBR to Clothianidin increased 6.8% and 3.3%, mixed to Thiamethoxam increased by 3.5% and 8.2%, respectively. 14-HBR did not affect insecticidal activity of Thiamethoxam and Clothianidin to peach bud nymphs and phyllotreta striolata fabricius. 【Conclusion】The study revealed seed treatment with 14-HBR regulator has a positive effect on early growth of rapeseed and increased yield of rapeseed significantly, interacted with planting environment, pesticide type and varieties genotype as traditional regulators, it is necessary to optimize seed treatment technology of 14-HBR regulator to obtain higher harvest yield.

【Objective】Taikemai33, derived from a cross between Zhengmai366 and Huaiyin9908, is a new released wheat cultivar with high quality, high yield, and excellent disease resistance, which has a broad genetic base, and a high potential for application in wheat production. The objective of this study is to dissect the genetic composition of Taikemai33 to provide information for parental selection to use this cultivar to develop more new wheat cultivars. 【Method】Taikemai33 and its pedigree parents including Zhengmai366, Huaiyin9908, Yumai47, PH82-2-2, Yumai13, Yumai 2 hao, Bainong3217, Yanda24, Xiannong39, Fengchan 3 hao and Funo were screened using the 55K wheat SNP chip to dissect the genomic composition of Taikemai33 to evaluate the genetic contributions of each parental line to Taikemai33. 【Result】The similarity coefficient between Taikemai33 and its pedigree parents ranged from 0.72 to 0.93, and the genetic composition of Taikemai33 was highly similar to Zhengmai366, the pedigree mother parent, with a genetic similarity coefficient of 0.93. SNP marker analysis showed that the pedigree parents contributed different proportion to the genome of Taikemai33, with the pedigree mother contributed 66.57%, whereas the pedigree father contributed 33.43%, indicating that Taikemai 33 inherits more genetic materials from the maternal lineage. Furthermore, the pedigree mother contributed 71.0%, 85.0% and 49.4% to subgenome A, B and D of Taikeimai33, whereas those were 29.0%, 15.0% and 50.6% contributed by the pedigree father. For each chromosome, the pedigree mother contributed more on chromosome 1A, 2A, 3A, 4A, 7A, 1B to 7B, 1D and 2D, whereas the pedigree father contributed more on chromosome 5A, 4D, 6D and 7D. The contributions of the pedigree parents on 6A, 3D and 5D were equal. Taikemai33 genotype map showed that the contribution loci of the pedigree mother were distributed in clusters on chromosome 1A, 5A, 7A, 2B, 7B, 2D, with those from the pedigree father were on chromosome 4A, 5A, 6D, 7D. Interestingly, among the polymorphic SNP loci, between Zhenmai366 and Huaiyin9908, Taikemai33 showed 109 loci that were absent in both parents, distributing on 19 chromosomes except 1A and 6A. Chromosome 4A, 2B, 6B and 7D of Taikemai33 confer most of the polymorphic SNPs in clusters with cluster number of 10, 9, 11, and 9. 【Conclusion】We constructed the genotype map and dissected the genetic composition of Taikemai33, determined the loci contributed by the pedigree parents and identified that Taikemai33 inherited more genetic materials from the pedigree mother and conferring some specific loci different with the pedigree parents.

【Objective】Drought is a major environmental factor limiting global wheat production, and breeding drought-tolerant varieties is a key challenge faced by wheat breeders worldwide. Spring wheat, which has a short growth period, plays a vital role for national food security and planting structure, therefore, it is of great importance to identify and select drought tolerance of spring wheat varieties for breeding of high-yielding and drought-tolerant wheat.【Method】In this study, 244 spring wheat varieties (lines) from 10 different regions were used to assess the drought tolerance of spring wheat varieties during the seedling stage, this study used the controlled water content method to impose drought stress during the seedling stage, 5 seedlings with uniform and consistent growth were selected during the trefoil stage. Thirteen seedling stage indicators including maximum root length (MRL), first leaf length (FLL), first leaf width (FLW), coleoptile length (CL), shoot fresh weight (SFW) and root fresh weight (RFW) were measured. Comprehensive evaluation of drought resistance of various spring wheat varieties (lines) was conducted through methods such as using descriptive statistics, membership function, principal component analysis, cluster analysis, and correlation analysis. 【Result】The drought tolerance of spring wheat varieties (lines) exhibits a large variation. The coefficient of variation of the measured traits under drought treatment conditions ranges from 2.1% to 32.9%, while the coefficient of variation of the control group ranges from 1.0% to 29.3%. Compared with the control, the coleoptile length, root dry weight, fresh weight root to shoot ratio, and dry weight root to shoot ratio under drought treatment were all greater than those under the control treatment. The original 13 indexes were summarized into 5 principal components, and the contribution rate reached 79.56%, and the D value of the comprehensive drought resistance coefficient was calculated according to the characteristic vector of each principal component and the drought resistance coefficient of each trait index, then the D value was clustered and analyzed, which could be divided into 5 subgroups. Therefore, the root biomass (underground fresh weight and dry weight) was screened as an effective comprehensive index for the identification of drought resistance at the seedling stage. We conducted correlation analysis between the seedling stage drought index and the agronomic traits of maturity stage showed that the coleoptile length, first leaf length was significantly positively correlated with flag length, plant height, spike length, the number of spike and grain length. Additionally, and the seedling biomass was significantly positively correlated with thousand-grain weight.【Conclusion】Twenty-two highly drought-tolerant varieties were screened, and root biomass (both fresh and dry weight of the underground part) was identified as an effective comprehensive indicator for evaluating seedling stage drought tolerance.

【Objective】 Starch is the main component of wheat kernel and plays an important role in processing. The gelatinization characteristic of starch is an important index to evaluate its quality. The genetic variation of starch gelatinization was studied to provide basis for improving wheat quality. 【Method】 Seven starch gelatinization traits, including gelatinization temperature, peak time, peak viscosity, trough viscosity, final viscosity, decay value and recovery value, were phenotypically determined in 205 winter wheat varieties. Genome-wide association analysis was performed using 90K chip, and haplotype analysis was performed on the stable and significant sites found. 【Result】 The seven characteristics, such as pasting temperature, showed abundant variation in different environments, and the coefficient of variation of attenuation value was the largest (29.31%-31.14%). There were significant differences among genotype, environment and genotype × environment, and the generalized heritability was 0.69-0.86. Through genome-wide association analysis, we found 198 loci that showed significant associations with seven traits. It was distributed in 20 other linked groups except 6D chromosome. There were 58 sites that were stable in 2 or more environments, involving all 7 traits, such as pasting temperature (10), peak time (5), peak viscosity (12), trough viscosity (10), final viscosity (7), break down (4) and set back (10), which could explain 5.54%-22.21% of genetic variation, twenty-one new sites were identified. By haplotype analysis of multiple effector sites that exist in multiple environments and have high phenotypic contribution, Four haplotypes, Hap1 (66.84%), Hap2 (16.84%), Hap3 (9.70%) and Hap4 (6.63%), were found at Kukri_c17417_407 on chromosome 4A, which were significantly related to peak viscosity and break down. Where Hap2 is the peak viscosity and high break down. (P<0.0001). The distribution frequency of varieties (lines) containing haplotype Hap2 in different ecological regions was from high to low as Huanghuai winter wheat region>foreign varieties>Southwest winter wheat region>Middle and lower reaches of Yangtze River winter wheat region>Northern winter wheat region. There were 11 single cause multieffect sites, among which there were 3 multiple effect sites associated with final viscosity, set back, peak time and trough viscosity. Jagger_c4026_328 and other 11 stable genetic loci located on 1B, 2A, 3A, 3B, 4A, 4B, 5B and 6B were mined, and 11 candidate genes that might be related to wheat starch gelatinization traits were screened. 【Conclusion】 In this study, RVA parameters had high heritability, and the RVA parameters of wheat starch were different in different environments. In this study, RVA parameters had high heritability, and the RVA parameters of wheat starch were different in different environments. 58 stable loci were detected that were significantly associated with starch gelatinization traits, and 4 different haplotypes were identified on chromosome 4A that were significantly associated with peak viscosity and break down, and 11 candidate genes related to starch gelatinization were screened, which could provide help for marker-assisted high-quality wheat breeding.

【Objective】Continuous rainy weather during the wheat harvest season can cause wheat pre-harvest sprouting (PHS) and even germination, thus impacting wheat yield and quality. Evaluating the effect of flour made by blending different proportions of sprouted wheat with regular wheat on the baking/steaming quality of flour processing products can explore the possibility of using a slight degree of sprouted wheat to examine the possibility of reducing food waste. 【Method】In this study, blends of Zhengmai 583 (Zheng 583) and Kechengmai 6 (Ke 6) wheat with 30%, 50%, and 100% sprouted wheat were prepared, respectively. The degradation of wheat flour from blended wheat was evaluated by the falling number, sedimentation value, wet/dry gluten content, dough development time, and dough stability time. The baking/steaming characteristics of bread, dumpling wrapper, Chinese steamed bread (CSB), sponge cake, noodle, and cookie made from blended wheat were evaluated by sensory scores and quality parameters. 【Result】As the proportion of sprouted wheat increased (30%, 50%, and 100%), the dough development time of Zheng 583 flour first increased and then decreased, while the dough stability time gradually reduced. However, the changes in the two parameters of Ke 6 both showed a trend of first decreasing, then increasing, and finally decreasing. The falling number, sedimentation value, wet/dry gluten content, and farinogram parameters of mixed wheat decreased in both cultivars. The specific volume of Zheng 583 CSB increased and then decreased, while the particular volume of Ke 6 CSB gradually reduced. The exact volume of the Zheng 583 sponge cake gradually increased, while the specific volume of the Ke 6 sponge cake remained unchanged. The particular volume of the bread, area of the cookies, cooking loss of the noodles, and turbidity index (A*) of the dumpling soup changed the same trend in both cultivars. Compared to the control (without sprouted wheat), the specific volume of bread decreased by 11.33% and 17.44%, the cookies area increased by 24.10% and 7.49%, the noodles cooking loss increased by 22.99% and 9.69%, and the A* value of the dumpling soup increased by 8.93% and 13.32% in Z583 and Ke 6 of 100% SW, respectively. The bread, Chinese steamed bread, the dumpling wrapper of two cultivars, and the noodles of Zheng 583 showed significant deterioration in the 30% SW gradient. The sponge cake and cookie of the two cultivars showed significant deterioration in the 50% SW gradient. The noodles of Ke 6 showed significant deterioration in the 100% SW gradient. 【Conclusion】The baking/steaming quality of bread, dumpling wrappers, Chinese steamed bread, sponge cake, noodle, and the cookie was seriously affected by PHS. The influence of PHS is different in various wheat cultivars but has the same trend. When the degree of PHS is slight, it has little effect on the baking quality of cookies and sponge cakes.

【Objective】Analyzing the yield and yield related traits of Sichuan wheat varieties from 2000 to 2020, providing reference for genetic improvement of yield in Sichuan wheat varieties. 【Method】From 2019 to 2022, a community trial design was used to measure the yield and related traits of 145 wheat varieties in Sichuan Province since 2001 to 2016, as well as 60 high-yield wheat varieties (Varieties with top yields in regional trials in Sichuan Province over the years) since 2000 to 2020. This data was used to analyze the trend of yield and yield related trait changes in Sichuan wheat cultivars cultivated from 2000 to 2020. 【Result】145 Sichuan wheat varieties from 2001 to 2016 have an average annual genetic gain of 37.20 kg·hm^-2 or 0.66% in yield. Grain number per spike and effective spike number per unit area showed an increasing trend, while thousand grain weight and plant height showed a decreasing trend. Correlation analysis showed that effective spike number per unit area was positively correlated with yield. Path analysis showed that the continuous increase of effective spike number per unit area (annual increase 0.42×10⁴/hm² or 0.13%) was the main factor for the increase of yield potential of high-yielding varieties. The average annual yield genetic gain of 60 high-yield wheat varieties from 2000 to 2020 was 61.10 kg·hm^-2 or 0.89%, the effective spike number per unit area showed an increasing trend, the plant height showed a decreasing trend, and the grain number per spike and thousand grain weight had almost no change. Correlation analysis shows that there was a significant positive correlation between yield and the number of effective ears per unit area. Path analysis showed that the continuous increase in effective spike number per unit area (with an average annual increase of 1.80×10⁴/hm² or 0.51%) was also a major factor in improving the yield potential of 60 high-yield wheat varieties in Sichuan from 2000 to 2020. 【Conclusion】The improvement and breeding of wheat yield heritage in Sichuan Province has made some progress, especially the improvement effect of high yield breeding is remarkable, and the yield level of wheat varieties in Sichuan Province is gradually increasing. The continuous increase in effective ears per unit area was the main factor for improving the yield potential of Sichuan wheat varieties. High grain number per spike and thousand grain weight are important foundations for high yield in Sichuan wheat, but their genetic improvement is in a bottleneck period. Increasing the effective spike number per unit area is the key to furtherly improve the yield of wheat in Sichuan.

【Objective】 The heading date plays a crucial role in influencing the regional adaptation and yield of rice (Oryza sativa L.). The identification of early heading genes contributes significantly to enhancing and fine-tuning the regulatory network that controls rice heading, which provides valuable genetic resources for molecular breeding with the goal of achieving early maturity and high yield in rice. 【Method】 CL33, a chromosome segment substitution line with early heading, and 93-11, its recipient parent with late heading, were used as research materials to investigate and analyze their major agronomic traits. Two DNA pools were constructed, comprising plants exhibiting extremely early and late heading. Whole-genome resequencing and BSA-Seq analyses were then conducted to locate the genomic region associated with the heading date. In the subsequent steps, InDel markers within this identified region were developed for fine mapping. The gene LOC-Os08g07740 emerged as the primary candidate gene within localization intervals, determined through gene prediction, candidate gene analyses, as well as references to relevant literatures. This candidate gene was subsequently cloned and analyzed for allelic variations. Moreover, we explored the genetic and phylogenetic relationships of the LOC_Os08g07740 gene within the three rice subgroups, Indica, Japonica and O. rufipogon. This analysis involved studying genomic data within approximately 40 kb upstream and downstream of the gene utilizing bioinformatics software.【Result】 Under both natural long-day and short-day conditions in Nanning, Guangxi, CL33 exhibited a 20-25 days shorter than its recipient parent 93-11. Moreover, under natural long-day conditions, the agronomic traits of CL33 were largely similar to those of 93-11, with the exception of a shortened spike length and a reduced number of grains per spike. Genetic analysis revealed that the early heading trait in CL33 was controlled by a recessive gene. This gene was finely localized within a 100 kb region between the markers PSM8-6 and PSM8-8 on the short arm of rice chromosome 8, encompassing 15 predicted candidate genes. Significantly, the candidate gene ORF13 (LOC_Os08g07740), which shared alleles with known heading date genes like DTH8/Ghd8 emerged as a key candidate. Sequencing and sequence alignment of ORF13 demonstrated an 888 bp coding sequence without introns, encoding a protein of 295 amino acids. Compared to the recipient parent 93-11, LOC_Os08g07740 in CL33 featured a 6 bp insertion and a 9 bp deletion between the 535-536th and 820-821st base pairs, respectively, resulting in consequential amino acid sequence alterations. Hence, it was tentatively named OsEHD8 as the target candidate gene. Genetic evolutionary analyses indicated a significant decrease in genetic diversity within the LOC_Os08g07740 gene in Indica and Japonica compared to O. rufipogon, with a 62.53% decrease in Indica and a 53.76% decrease in Japonica. Nevertheless, the differences in genetic diversity between Indica and Japonica were not statistically significant. The LOC_Os08g07740 gene featured a total of 13 haplotypes, with the Hap_2 possibly representing the common ancestor of the three subgroups. Geographical isolation or environmental differences might have led to the fixation of different haplotypes in the Indica and Japonica subgroups. These findings suggested that the LOC_Os08g07740 gene underwent directional selection in the three subgroups.【Conclusion】 OsEHD8, identified as a functional allele of DTH8/Ghd8, played a key role in promoting early heading in rice under both natural long-day and short-day conditions. Moreover, the chromosomal segment substitution line CL33, which carried the OsEHD8 allele, exhibited no significant differences in other agronomic traits compared to the recipient parent 93-11 under natural long-day conditions, except for a shorter spike length and a reduction in grains per spike.

【Objective】FWL (Fruit Weight2.2-Like) gene is a negative regulator of cell proliferation, which not only regulates plant organogenesis and organ size, but also participates in the regulation of metal ion transport accumulation and signal transduction. Analyzing of the function of OsFWL3 gene is helpful to reveal the transport mechanism of trace metal elements in crops. It provides theoretical support for reducing heavy metal accumulation and improving crop quality. 【Method】The gene information, genome structure and phylogenetic tree of OsFWLs family were analyzed by bioinformatics method, and the expression profile of OsFWL3 gene was predicted. Two OsFWL3 knockout lines were obtained using CRISPR/Cas9 gene editing technology. Then wild type and Osfwl3 mutants were treated with ZnSO₄ at seedling stage and filling stage, respectively. The phenotypes of plants and grains after treatment were analyzed, and the content variation of metal elements such as Zn was determined to explore the effects of OsFWL3 on the transport and accumulation of metal ions and seed quality. 【Result】The gene function of OsFWLs family is similar to some extent. OsFWL3 gene is highly expressed in anther and panicle, indicating that it is closely related to reproductive development of rice. The number of primary branches, grian length, grain thickness and 100-grain weight of Osfwl3 mutants are significantly larger than WT. OsFWL3 affects the content and distribution of Zn and other metal ions in rice seedlings and grains. The deletion of OsFWL3 gene affects the competitive transport of Zn, Cd and Mn from underground to above-ground, lower grain to central grain and husk to brown rice. 【Conclusion】OsFWL3 gene affects the distribution of Zn and other metal ions in rice grains and plants, and it plays an important role in regulating the growth and development of rice plants and grain size.

【Objective】To explore the potential of UAV remote sensing in nitrogen efficiency classification and recognition, a nitrogen efficiency classification method for wheat varieties was constructed, so as to provide the theoretical basis and technical support for nitrogen efficient variety screening.【Method】Six agronomic indicators related to nitrogen efficiency at maturity stage (yield, plant nitrogen accumulation, nitrogen physiological use efficiency, plant dry biomass, total nitrogen uptake of grains, and N harvest index) were used to construct the principal component synthesis value, and K-Means cluster analysis was performed on them. The 121 wheat varieties were divided into three types: high, medium, and low nitrogen efficiency types. A UAV remote sensing platform equipped with a multi-spectral camera was used to obtain remote sensing images of wheat at the jointing, booting and flowering stages, and 34 vegetation indices were extracted to analyze the correlation between vegetation index and nitrogen efficiency comprehensive value. The accuracy of nitrogen efficiency classification models of support vector machine (SVM), random forest (RF), and K-nearest neighbor (KNN) classification methods were compared, and the overall classification accuracy (OA) and Kappa coefficient were used to compare the classification and recognition ability of wheat varieties in different growth periods. Three different feature set screening methods(ReliefF algorithm, Boruta algorithm and RF-RFE algorithm) were used to comprehensively evaluate the optimized feature subsets, and an appropriate classification and recognition method for wheat varieties nitrogen efficiency was established.【Result】With the progress of wheat growth stage, the correlation between vegetation index and the comprehensive value of nitrogen efficiency gradually increased, which reached the highest correlation coefficient at flowering stage (r=0.502). The full feature set of vegetation indices was used to classify the nitrogen efficiency of wheat varieties. For the data of single growth stage, SVM model had the best classification accuracy at flowering stage (OA=77.1%, Kappa=0.591), and the worst classification accuracy at jointing stage (OA=65.6%, Kappa=0.406). In general, the classification accuracy of nitrogen efficiency of varieties with multi-growth stage data fusion was higher than that of single growth stage, among which SVM model with jointing stage + booting stage + flowering stage had the best classification accuracy (OA=80.6%, Kappa=0.669). In order to reduce the number of feature set variables in multi-growth period data fusion, the feature optimization effects of RF-RFE, Boruta and ReliefF algorithms were compared and analyzed. The optimal feature subset based on RF-RFE algorithm had the highest classification accuracy, and its OA and Kappa coefficients were 4.0% and 10.1% higher than those of the full feature set classification model, respectively. Among them, the data fusion of three growth stages had the best classification accuracy (OA=85.4%, Kappa=0.749).【Conclusion】The nitrogen efficiency evaluation method with six nitrogen efficiency indexes - principal component analysis -K-Means were established in this study. The RF-RFE algorithm effectively optimized the number of characteristic subsets of the multi-growth period combination, and obtained high classification accuracy. A nitrogen efficiency classification model of wheat varieties based on the fusion of multi-growth period combination and RF-RFE-SVM technology was established, which provided the theoretical basis and technical support for the rapid and accurate classification and identification of wheat varieties with nitrogen efficiency.

【Objective】Rice is the staple grain crop worldwide, and the morphology of its grains directly influences its ultimate yield, nutritional excellence, and economic significance. Moreover, the intricate interplay between floral development and grain morphology adds further significance to this relationship. Thus, exploring novel rice floral development regulatory genes and molecular regulatory mechanisms lays the foundation for larger and more plump grains rice varieties. 【Method】Ethyl methyl sulfonate (EMS) was used to mutate XD1B (xian-type maintainer line), and a dwarf mutant abnormal hull 1 (ah1) with abnormal formation of glume and lodicule was identified. The agronomic traits of both the wild-type and mutant were observed and recorded. Spikelets from various flowering stage were collected to histological and morphological analysis. The F₂ segregating population was established by ah1 and 56S (xian-type thermo-sensitive sterility line), and utlized for genetic analysis and gene mapping. RNA was isolated from young panicles of both the wild-type and mutant, then reverse transcribed into cDNA. The RT-qPCR analysis was performed to analyze the relative expression levels of the genes regulating floral development and the key genes in the ABA synthesis pathway. 【Result】The observation of agronomic traits revealed that the dwarfed plant was caused by the dramatic shortening of the internodes. At the same time, the mutant is also accompanied by severe spikelet abnormalities and low fruit setting rate. Histological and morphological analysis revealed that the ah1 mutant spikelets exhibited varying degrees of degeneration in floral organs such as palea, lemma, lodicules, and stamens. Some severely affected spikelets displayed altered floral organ characteristics and determinacy of floral meristems, often accompanied by extensive whitening. Based on the extent of degeneration, these spikelets could be classified as slight or severe mutant phenotypes. Genetic analysis showed a segregation ratio of 3﹕1 for the wild-type and mutant within the segregating population, indicating that the mutant traits of ah1 were controlled by a single recessive locus. The AH1 was mapped between the molecular markers RM6716 and RM128 on the chromosome 1, with a physical distance of approximately 8 Mb. Resequencing analysis of the mutant revealed that the LOC_Os01g53450 and LOC_Os01g51860 within this interval showed variation between wild-type and mutant, thus these two genes were provisionally identified as candidate genes. RT-qPCR analysis revealed significant alterations in the relative expression levels of floral organ development regulatory genes during the early developmental stages of mutant panicles; meanwhile, the relative expression levels of OsNCED1/OsNCED2/ OsNCED3/OsNCED4/OsNCED5, the ABA synthesis pathway key genes, were severe inhibited.【Conclusion】AH1 plays a crucial role in the morphological formation of floral organs, such as palea and lemma in rice. LOC_Os01g53450 and LOC_Os01g51860 were provisionally identified as candidate genes in this work.

【Objective】 Maize stalk rot is one of the common and most devastating diseases in major maize production areas in China. Under natural conditions, maize stalk rot is mostly caused by the synergistic infection of various pathogens. The purpose of this study was to screen elite maize germplasms resistant to the synergistic infection with F. graminearum and F. verticillioides. Meanwhile, QTN associated with resistance to the infection by synergistic infection of two Fusarium species and the candidate resistance genes were identified, which will provide gene resources and theoretical reference for molecular breeding of maize variety resistant to synergistic infection of different pathogens.【Method】 Using a maize natural population as experimental materials, the maize stalk rot phenotypes were investigated upon simultaneous infection with F. graminearum and F. verticillioides. Furthermore, GWAS analysis was conducted to identify significant resistance SNP and to predict candidate genes for stalk rot resistance.【Result】 Through the phenotypic analysis of stalk rot caused by synergistic infection under both field and laboratory conditions, it was found that inbred lines from different sources and subgroups showed significant phenotypic variation. More specifically, the field assay results showed that the inbred lines collected from China were more resistant and that from USA were more susceptible to synergistic infection. Moreover, the inbred lines of tropical and subtropical subgroup were more resistant, whereas the inbred lines of Mixed subgroup more susceptible. The seedling assay results under laboratory condition showed that the lines collected from USA were more resistant, whereas that from CIMMYT were more susceptible. The lines of SS subgroup were more resistant, and that of Mixed subgroup were more susceptible. By integrating field and laboratory phenotypic data, 29 and 16 lines with higher levels of resistance to synergistic infection were screened out respectively, and 6 resistant lines were identified under both conditions. Moreover, based on the field phenotype GWAS, 18 QTNs associated with the resistance were identified, and 93 candidate genes associated with stalk rot resistance to synergistic infection were mined. Among these candidate genes, four genes showed haplotype variation, whose expression levels were up-regulated in disease-resistant lines.【Conclusion】 Using the natural population of maize with great diversity in genetic background, 6 resistant lines to the synergistic infection with Fusarium spp. were identified under two conditions, which can be used as potential germplasm resources for maize stalk rot resistance in the future. Four candidate genes that might be involved in the resistance to synergistic infection were identified by GWAS, which will provide genetic resources for the breeding maize varieties with enhanced resistance to stalk rot caused by F. graminearum and F. verticillioides.

【Objective】 To provide the theoretical basis for rational nitrogen (N) application and promoting high yield and high quality of foxtail millet (Setaria italica (L.) Beauv.), this study aimed to clarify the effects of different N application rates on plant N utilization characteristics, grain yield and grain quality of foxtail millet. 【Method】 To investigate the effects of different N application levels on plant N accumulation, transfer and utilization characteristics, grain yield and its components, grain micronutrients content and pasting properties, a 2-year field experiment (2020-2021) was performed with different N fertilization application at four levels (0, 75, 120, and 150 kg·hm^-2, represented as N0, N75, N120, and N150, respectively) in the Qinxian County of Shanxi Province, located in the spring sowing region of China.【Result】 Compared with N0, N application increased panicle number per unit area at harvest, grain number per panicle and plant productivity of foxtail millet. N application also significantly enhanced N translocation and promoted the distribution of both dry matter and N in grains. As a consequence, an enhanced grain yield was obtained when subjected to N application. Further, among all treatments, the highest values of panicle number per unit area at harvest, grain number per panicle, both grain yield and biomass, harvest index, total N accumulation and N translocation efficiency were obtained when 75 kg·hm^-2 was supplied; compared with the values produced by N0, the increased rate reached 7.5%, 23.3%, 31.0%, 21.2%, 8.6%, 40.3% and 9.2% by N75, respectively. Compared with N0 treatment, the content of Fe, Zn, Ca, Mg and Se in foxtail millet grains under N75 treatment were increased by 37.3%, 43.6%, 56.0%, 30.5% and 16.9% at most, respectively. Excessive N application (N 150) decreased grain number, harvest index and N translocation efficiency compared with N75 treatment. More than 75 kg·hm^-2 application resulted in diminished N translocation efficiency, by 23.1% and 28.1%, in 2020 and 2021, respectively. The content of amylopectin and starch yield were also limited by excessive N. Over-use N fertilizer also significantly decreased final viscosity, setback and trough viscosity. Pearson correlation coefficients demonstrated a strong positive relationship between plant N accumulation and the content of Fe, Zn, Ca, Mg and Se in foxtail millet grains, and a significant negative relationship between plant N accumulation and the content of amylopectin, final viscosity and trough viscosity in foxtail millet grains.【Conclusion】 The N application at 75-120 kg·hm^-2 could promoted the allocation of dry matter and N in grain, which was relative to the enhanced N transfer from vegetative organs to grains. Also the reasonable pasting properties and biofortification of beneficial trace elements of Fe, Zn, Ca, Mg and Se was produced by such N dose in this study area.

【Objective】Soluble sugar content is one of the important quality traits of vegetable soybean. The genetic variation and genetic mechanism of soluble sugar content in fresh soybean seeds were studied to provide a basis for germplasm innovation and quality breeding of vegetable soybean.【Method】Using 133 soybean landraces from the Northeast region, the North region, the Huanghuaihai region and the South region, the soluble sugar content of fresh seeds was determined in the three environments of Lianjiang in spring, Fuqing in spring and autumn, in 2021. In combination with 82 187 high-quality SNP markers, the whole genome association analysis of soluble sugar content was conducted based on the mixed linear model MLM (Q+K), and the SNP loci with significantly related to soluble sugar content were identified. The candidate intervals were selected by the significant SNP loci and the extension of 119.07 kb linkage disequilibrium decay distance at both ends. The candidate genes were predicted according to the annotation and tissue expression information of the genes in the candidate intervals.【Result】The variation range of soluble sugar content in fresh seeds under three environments was 3.37-33.84 mg·g^-1, the genetic variation coefficient was 24.59%-32.69%, and the heritability of soluble sugar content was 68.14%. 6, 8 and 22 SNPs were significantly associated with the soluble sugar content of fresh seeds were detected in Lianjiang in spring, Fuqing in spring and autumn, respectively, and phenotypic variation was 12.43%-29.27%. A total of 86 genes were obtained in the candidate regions of 9 significant SNP loci with higher interpretation rate of phenotypic variation, and 9 candidate genes were further screened by gene annotation and tissue expression information. These candidate genes are mainly involved in biological processes such as transcription factors, glycoprotein families and carbohydrate synthesis and transport. Among them, Glyma.01g016500, Glyma.13g042100, Glyma.16g131800 and Glyma.16g155300 were more highly expressed in soybean seeds and pods, which can be used as the most potential candidate genes for soluble sugar in fresh soybean seeds.【Conclusion】Through genome-wide association analysis, 36 SNPs significantly associated with soluble sugar content in fresh seeds were detected, and 9 candidate genes were further screened out, which may be involved in the regulation of soluble sugar content in fresh soybean seeds. Among them, Glyma.01g016500, Glyma.13g042100, Glyma.16g131800 and Glyma.16g155300 can be the key candidate genes for regulating soluble sugar content in fresh soybean seeds.

【Objective】To develop high-yielding and FHB-resistant wheat cultivars in the Yellow and Huai River Valley Winter Wheat Zone (YHWZ), simultaneously improving of yield and resistance was conducted in this study.【Method】Using the elite parent dwarf male sterile (DMS) wheat combined with double haploid (DH) technology and molecular marker assisted selection (MAS) of Fhb1 (DMS wheat molecular breeding strategy), DH lines were developed using Sumai 3 as a donor (FHB- resistant parent) and Zhoumai 16’s DMS wheat, Zhoumai 16, Lunxuan 136 and Lunxuan 6 as recipient parents. The agronomic traits (plant height, heading date, yield, etc.) and FHB resistance were evaluated for these DH lines.【Result】A total of 51 Fhb1-DH lines characterized by facultative growth habit, semi-dwarf and white grains were selected using this strategy. The average number of infected spikelets of 51 lines were 5.7 and 7.3 at the 2020Henan and 2020Beijing sites, respectively, and average disease severities were 27.7% and 35.2%, which is not different from moderately susceptible control Huaimai 20. There was no significant difference in grain yield per hm² between the mean performance of the 51 lines and the control Zhoumai 18. DH116 (Lunxuan 20), a promising line from the 51 lines, was further evaluated for FHB resistance and agronomic traits in multiple environments. The resistance of Lunxuan 20 to FHB was significantly improved, and no significant difference was found in the number of infected spikelets or disease severity between Lunxuan 20 and moderately or highly resistant controls at four sites. Lunxuan 20 showed slightly greater grain yield per hm², and significantly higher number of spikelets per spike and thousand grain weight (P<0.05), earlier heading date and shorter plant height (P<0.05) than the control Zhoumai 18 in two environments. The grain yield per hm² of Lunxuan 20 was 4.6% and 1.7% higher than the control cultivar Bainong 207 in the two list trials of Henan Province, and 3.5% higher than Bainong 207 in the demonstration trial. Resistance of Lunxuan 20 to FHB ranged from moderate susceptibility to moderate resistance in two-year list tests using the single-floret injection and spray inoculation methods. Lunxuan 20 carries the semi-dwarfing gene Rht-D1b at the Rht-D1 locus, and the recessive alleles vrn-A1, vrn-B1 and vrn-D1 associated with the winter growth habit at the Vrn-A1, Vrn-B1 and Vrn-D1 loci. Based on the wheat 660K single nucleotide polymorphisms (SNPs), 64.7% of the SNPs were shared by Lunxuan 20 and its parents, and the direct genetic contributions of Zhoumai 16, Lunxuan 136, Lunxuan 6 and Sumai 3 to Lunxuan 20 were 69.8%, 12.6%, 6.1% and 11.5%, respectively.【Conclusion】A high-yielding and FHB-resistant wheat cultivar Lunxuan 20 was bred using the DMS wheat molecular breeding strategy.

【Objective】 Aiming to solve the problems of low precipitation and uneven distribution of precipitation during the growth period, significant inter-annual variability, large proportion of precipitation during fallow period, and low water use efficiency (WUE) of precipitation, the objective of this study is to investigate the impact of deep ploughing time during fallow period in different precipitation years on soil water storage and wheat yield, and to provide a theoretical basis for revealing the yield depending precipitation years in southern Shanxi.【Method】 The field experiment was laid out following a randomized complete block design from 2010 to 2021, with three deep ploughing times set on August 10th (P₁), August 20th (P₂), and August 30th (P₃) to investigate the effects of ploughing time, precipitation, and its distribution on wheat yield, soil water storage characteristics during fallow periods, water consumption during growth periods, and their correlations.【Result】 (1) The precipitation year type exhibited a strong correlation with the average yield of dryland wheat, which ranged from 2 400.0-6 298.0 kg·hm^-2, with the coefficient 29.8%. The average yields for wet years (2012, 2014 and 2015), normal years (2011 and 2013), and dry years (2010, 2016, 2019, 2020 and 2021) were 5 524.6, 3 048.2, and 4 088.7 kg·hm^-2, respectively. The impact of precipitation year type on yield followed a descending order: annual precipitation, precipitation in the fallow period, and precipitation in the growth period. Both precipitation in the fallow period and the growth period primarily affected yield through their effect on spike number and kernels per spike. Additionally, an increase in both annual precipitation and March to April’s precipitation led to a significant increase in yield. The effect of deep ploughing time on wheat yield in dryland was closely related to the precipitation distribution in fallow period, which showed that P₁ yield was higher with more precipitation in July-August, and P₂ or P₃ yield was higher with more precipitation in September. (2) Precipitation, its distribution, and ploughing time had an impact on soil storage and consumption characteristics before sowing and after harvest. Precipitation during the fallow period mainly affected the soil water storage capacity in the lower layer (100-200 cm) before sowing and after harvest. The water storage capacity of the upper layer (0-100 cm) and the lower layer was similar or slightly low before sowing under the water-rich type in the fallow period. The water storage capacity of the lower layer was 6.17% and 24.66% lower than that of the upper soil under normal water and low water in the fallow period, respectively. More precipitation in July led to greater water storage in the lower soil, while more precipitation in August and September resulted in greater water storage in the upper soil. During growth periods, precipitation primarily impacted water storage capacity of the upper soil at harvest time, especially precipitation occurring in May. The average soil water storage capacity in the upper layer was the highest in P₂ before sowing and at harvest time, and the water storage capacity of subsoil and the average water storage capacity of 0-200 cm soil was the highest in P₂ or P₃ at harvest time. (3) The effects of ploughing time and precipitation on water consumption and WUE were relatively small. The water consumption of dryland wheat during the growing period was affected by the annual precipitation, especially the precipitation in March.【Conclusion】 Precipitation and its distribution during the fallow period affect the soil water storage capacity of 0-200 cm before sowing of dryland wheat, and affect the yield of dryland wheat through spike number, kernels per spike together with the precipitation in March and April. There is a significant positive correlation between WUE and yield. In dryland wheat fields in south Shanxi Province, when there is more precipitation in July-August, deep ploughing is done on August 10th, and when there is less precipitation, deep ploughing is properly delayed from 10 to 20 d, which can effectively maintain soil water content during fallow period and achieve high yield.

【Objective】An accurate and rapid indoor evaluation system was established by using soybeans with different resistance levels to Phomopsis seed decay as test materials. And then 170 soybean germplasm accessions were employed to screened out disease-resistant varieties, so as to provide methods and material basis for high-throughput assessment of Phomopsis seed decay in soybean and cultivation of resistant varieties.【Method】In terms of establishing a reliable evaluation method for Phomopsis seed decay, Qihuang 34, Williams, Zhongzuo 09-560, z13-631-2, ZDD26268, Chenxiqingpidou 1 and Tongxianhuangdou were selected as experimental materials. For each soybean accession, the seeds with uniform size and undamaged seed coat were germinated in the dark after disinfection. At different germination stages, the pathogen of Phomopsis seed decay was inoculated for 24 h, 48 h, 72 h and 96 h. The mycelium coverage rate and seed decay rate of seed surface under different infection time were counted to determine the optimal identification period for evaluating Phomopsis seed decay in soybean. Then, the resistance of 170 different soybean germplasms in natural population was identified by using the coverage rate of mycelium on the surface of seeds and the decay rate of seeds as evaluation indexes. The high disease resistance varieties were screened based on 5 disease resistance levels.【Result】The soybean accessions showed the most significant differences in disease resistance levels after 96 h of germination when mycelium coverage rate and seed decay rate of soybean surface were used as evaluation indexes. Further comparison of the incidence of 24 h, 48 h, 72 h and 96 h after infection showed that the difference in disease resistance between different varieties after infection for 72 h was the most obvious. Therefore, it was the most suitable period, 72 h of infection at the bud stage after 96 h of germination, for evaluating the resistance level of different soybean varieties to Phomopsis seed decay. The resistance of 170 soybean varieties to Phomopsis seed decay was identified and classified into five disease resistance grades, namely, high resistance, medium resistance, medium susceptibility, susceptibility and high susceptibility. Among them, there were 30 varieties of grade I (high resistance to disease), 51 varieties of grade Ⅱ (medium resistance to disease), 71 varieties of grade Ⅲ (medium disease susceptibility), 4 varieties of grade Ⅳ (disease susceptibility) and 14 varieties of grade V (high disease susceptibility), idicating that there are extensive variations in the resistance to Phomopsis seed decay of soybean germplasm resources in China.【Conclusion】In this study, the most optimum stage of disease identification was considered as soybean seeds after 96 h germination to infect the Phomopsis longicolla for 72 h. After that, the mycelium coverage rate and seed decay rate of soybean surface were counted as evaluation parameters. The evaluation system has high accuracy and reliability, which can provide an effective method for high-throughput identification of different varieties in the laboratory. And 30 highly resistant varieties were further screened to provide a material basis for the breeding of resistant varieties.