1.延边大学农学院,吉林延吉 133002;2.吉林省农业科学院大豆研究所/国家大豆工程中心,长春 130033;3.东北农业大学农学院,哈尔滨 150030
研究方向为大豆种质资源研究,E-mail :liuxinxin960516@163.com
王跃强,研究方向为大豆种质资源研究,E-mail :825164942@qq.com
国家重点研发计划(2021YFD1201603);吉林省农业科技创新工程人才基金-研究生基金(CXGC2021RCY042)
1.Agricultural College of Yanbian University,Jilin Yanji 133002;2.Soybean Research Institute,Jilin Academy of Agricultural Sciences/National Soybean Engineering Center, Changchun 130033;3.Agricultural College of Northeast Agricultural University,Harbin 150030
Foundation projects: The National Key Research and Development Program of China (2021YFD1201603); Talent Fund (Graduate Fund) of Agricultural Science and Technology Innovation Project of Jilin Province (CXGC2021RCY042)
本研究拟利用丰富的大豆种质资源,探索大豆苗期耐低氮种质资源的鉴定方法和指标,筛选出强耐低氮的种质资源。以260份大豆资源材料为试材,正常氮水平和低氮水平两种处理下进行苗期盆栽试验,在大豆第4片复叶展开期测定SPAD、株高、地上部鲜重等9个指标。通过对低氮胁迫下大豆品种的表型差异进行分析,利用耐低氮系数进行相关性分析、主成分分析、聚类分析以及回归分析,鉴定和筛选具有耐低氮特性的大豆品种。结果表明,不同氮水平下,大豆苗期各指标均存在显著性差异,但指标间和品种间的差异情况有所不同。主成分分析将上述9个单项指标转化为3个综合指标,经隶属函数值和品种耐低氮综合评价值,结合聚类分析将供试260份大豆品种资源分为强耐低氮、耐低氮、中间型、不耐低氮和极不耐低氮5种类型,其中强耐低氮资源17份、极不耐低氮资源7份,同时通过逐步回归分析得出总干重、地下部干重、地上部鲜重、第2片复叶SPAD(SPAD2)以及第1片复叶SPAD(SPAD1)的耐低氮系数可作为鉴定大豆苗期耐低氮能力的主要指标。
This research examined the identification method and genetic traits of low nitrogen resistant soybean at the seedling stage. 260 soybean varieties were used and subjected for pot experiments under normal and low nitrogen treatments, followed by examination of nine traits (such as SPAD, plant high, and shoot fresh weight) at the stage of the fourth compound leaf unfolding. By analyzing the phenotypic difference of soybean varieties under low nitrogen stress condition, as well as the low nitrogen tolerance coefficient, correlation analysis, principal component analysis, affiliation function, and regression analysis, the soybean varieties showing low nitrogen tolerance were identified. The significant differences at all the traits were observed under two different nitrogen-supplying levels, showing levels of variation among the traits and the varieties. The indexes of nine traits were refined using three indexes by principal component analysis. Based the value of the affiliation function and the comprehensive evaluation of low nitrogen tolerance in conjugation with cluster analysis, five categories (strong resistant, resistant, middle resistant, sensitive and most sensitive) were suggested. Seventeen soybean varieties were strong resistant categories, while seven were most sensitive categories. Through stepwise regression analysis, total dry weight, root dry weight, shoot fresh weight, SPAD of the second compound leaf, and SPAD of the first compound leaf, might be deployed as the principal indicators for evaluating low nitrogen tolerance in soybean.
刘芯欣,侯云龙,杜楠琳,等.大豆耐低氮资源的苗期鉴定与筛选[J].植物遗传资源学报,2023,24(2):408-418.
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