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作 者:昝凯 陈亚光[1] 申为民[1] 徐淑霞[1] 周青[1] 王凤菊[1] 郭海芳[1] 李明军[1] ZAN Kai;CHEN Ya-guang;SHEN Wei-min;XU Shu-xia;ZHOUQing;WANG Feng-ju;GUO Hai-fang;LI Ming-jun(Anyang Academy of Agricultural Sciences/High Quality Soybean Improvement Engineering Technology Research Center of Henan Province,Anyang 455000,China)
机构地区:[1]安阳市农业科学院/河南省优质大豆改良工程技术研究中心,河南安阳455000
出 处:《大豆科学》2023年第2期129-137,共9页Soybean Science
基 金:安阳市重点研发与推广专项(2022C01NY008)。
摘 要:为全面、准确综合评价黄淮海夏大豆(南片)品种(系)的农艺性状,构建大豆品种(系)的综合评价体系,本研究利用因子分析、DTOPSIS法、聚类分析和回归分析等多元分析方法,对2019—2021年黄淮海夏大豆(南片)区试中完成两年试验的37份品种(系)的15个性状进行综合分析评价。结果表明:37份大豆品种(系)的15个农艺性状变异系数为2.4%~53.0%,花叶病毒病变异系数最大,其次为有效分枝数,生育期变异系数最小;相关分析表明15个农艺性状间存在复杂的相关性,因子分析将15个性状转化为5个主因子,累计贡献率达77.973%。采用DTOPSIS法计算品种(系)综合评价值(Ci值),对Ci值进行聚类分析,将37份品种(系)划分为3个类群,每个类群具有不同的优势性状。通过逐步回归分析建立大豆品种(系)综合评价模型:Ci=0.484+0.033X_(3)+0.027X_(4)+0.067X_(7)+0.011X_(11)+0.034X_(14),(R^(2)=0.955 0,F=132.027,P<0.000 1),该模型可用于黄淮海夏大豆品种(系)的综合评价,为育种家选育高产优质大豆品种提供参考。In order to comprehensively and accurately evaluate the agronomic traits of summer soybean varieties(lines) in the Huang-Huai-Hai region(south), and to construct a comprehensive evaluation system for soybean varieties(lines), multivariate analysis methods such as factor analysis, DTOPSIS method, cluster analysis and regression analysis were used to analyze 15 characters of 37 varieties(lines) which accomplished the two-year regional trials in the Huang-Huai-Hai(south) summer soybean regional test from 2019 to 2021. The results showed that the variations of 15 agronomic characters of 37 soybean varieties(lines) was 2.4%-53.0%, the variation of mosaic virus disease was the largest, followed by numbers of effective branches, and the variation of growth period was the smallest.Ccorrelation analysis revealed complex correlations among the tested 15 agronomic traits, factor analysis transformed 15 traits into 5 main factors, with a cumulative contribution rate of 77.973%. The DTOPSIS method was used to calculate the comprehensive evaluation value(Ci value) of the 37 varieties(lines), and the cluster analysis suggested 3 groups in 37 soybean varieties(lines), each group had different dominant characters. Based on the Ci value, a comprehensive evaluation model of soybean varieties(lines) was established by stepwise regression analysis: Ci=0.484+0.033X_(3)+0.027X_(4)+0.067X_(7)+0.011X_(11)+0.034X_(14),(R^(2)=0.955 0,F=132.027,P<0.000 1). This model can be used for the comprehensive evaluation of soybean varieties(lines) in the Huang-Huai-Hai region, thus to provide a reference for breeders to select high-yield and high-quality soybean varieties.
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