1.长江大学生命科学学院;2.江西省农业科学院作物研究所;3.安徽省农业科学院作物研究所;4.中北大学化学与化工学院;5.江苏徐淮地区徐州农业科学研究所
国家重点研发计划项目(2024YFD1201400);江西省职业早期青年科技人才培养项目(408294795034);国家大豆产业技术体系(CARS-04-CES31);国家自然科学基金(32260475)
1.College of Life Sciences,Yangtze University;2.Crop Institute,Jiangxi Academy of Agricultural Sciences;3.Crop Institute,Anhui Academy of Agricultural Sciences;4.College of Chemistry and Chemical Engineering,North University of China;5.Xuzhou Institute of Agricultural Sciences in the Xuhuai Region of Jiangsu Province
The National Key Research and Development Program of China (2024YFD1201400); Jiangxi Province Early-Career Young Scientific and Technological Talent Training Program (408294795034); China Agriculture Research System of Soybean (CARS-04-CES31); National Natural Science Foundation of China (32260475)
高温严重影响大豆生长发育进而影响产量,生产上迫切需要耐高温品种,而发掘高温不敏感优异种质是培育耐高温品种的关键。本研究利用自然高温环境,通过“三年两点”试验,系统比较了608份大豆种质资源在不同温度环境下的株高、底荚高度、主茎节数、有效分枝数、单株荚数、单株粒重以及百粒重等性状的表型差异。结果表明,温度是导致两个试点间性状差异的主效因子,进一步筛选出底荚高度、有效分枝数、百粒重等表型差异与温度极显著相关的性状,再通过计算高温响应系数和主成分、隶属函数以及聚类分析,系统评价了供试大豆种质资源对高温的敏感性差异。相比对照组,供试种质在高温组的主茎节数显著升高,底荚高度、有效分枝数、单株荚数、单株粒重和百粒重显著降低。主成分分析根据高温响应系数,将6个性状转化为3个主成分,累计贡献率达74.23%;根据各主成分权重计算综合评价T值,通过聚类分析将608份大豆种质资源的高温敏感性差异划分为5种类型,包括极敏感型(8份)、较敏感型(123份)、中度敏感型(309份)、轻度敏感型(158份)以及不敏感型(9份),筛选出关东102、Suzumaru、Bedford和PI80828-1等国外高温不敏感种质,为耐高温大豆新品种培育提供材料支撑和理论参考。
High temperature severely constrains soybean growth and development, leading to significant yield losses. The development of high-temperature tolerant cultivars necessitates the identification of elite germplasm with such tolerance. Here, we evaluated the phenotypic variation among 608 soybean accessions grown under natural high-temperature conditions by measuring key traits over three years, from 2018 to 2020. These traits included plant height, first pod height, number of main stem nodes, number of branches, number of pods per plant, seed weight per plant, and 100-seed weight. Analysis of variance indicated that temperature was a major factor driving variation, particularly affecting the number of branches, seed weight per plant, and 100-seed weight. High temperature sensitivity among accessions was assessed by calculating high-temperature response correlation coefficients and integrating principal component analysis, fuzzy membership function analysis, and cluster analysis. Compared with the control group, the high temperature group exhibited a significant increase the number of main stem nodes. However, first pod height, number of branches, number of pods per plant, seed weight per plant, and 100-seed weight decreased significantly. Principal component analysis transformed the high temperature response correlation coefficients of six traits into three principal components, which accounted for a cumulative contribution rate of 74.23%. Using the weights of each principal component, we calculated a composite high-temperature sensitivity index (T-value). Cluster analysis classified the 608 accessions into five sensitivity classes: extremely sensitive (8 accessions), slightly sensitive (123 accessions), moderately sensitive (309 accessions), mildly sensitive (158 accessions), and non-sensitive (9 accessions). Notably, foreign high temperature tolerance germplasms, including Kanto 102, Suzumaru, Bedford, and PI80828-1 were identified as promising candidates. This study providing germplasm resources and theoretical support for breeding new high temperature tolerant soybean varieties.
