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聚类分析在大豆“3414”试验设计中的应用 被引量:3

Application of Clustering Analysis in the Design of “3414” Experiment of Soybean
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摘要 为了探讨大豆在"3414"试验设计下各个性状的关系以及对产量的影响,采用系统聚类的R型聚类法对‘安豆7号’在"3414"试验设计下的9个农艺性进行研究,采用中位数聚类法计算9个性状间的相关系数。结果表明:9个性状共划分为4个类,Ⅰ类为单株有效荚数、单株粒数、单株粒重、百粒重和产量,Ⅱ类为株高和主茎节数,Ⅲ类为有效分枝,Ⅳ类为底荚高度。剔除基因型对变量聚类的影响,明确了类间的典型指标,可为大豆品种的选育及性状相关研究提供参考。 In order to explore the relationship of all traits of soybean and their effect on the yield under the"3414"experiment design, the R clustering analysis method was used to study the 9 agronomic traits in thedesign of"3414"experiment of‘Andou7'. The correlation coefficient of 9 traits was calculated by using themedian clustering method. The results showed that: 9 traits were divided into four groups, and the first groupincluded the pod number, seed number per plant, seed weight per plant, 100 grain weight and yield, the secondgroup included plant height and node number, the third was effective branches, the fourth was bottom podheight. The effect of genotype on variable clustering was removed, and the typical indexes of the class wereselected, which could be the reference for the research of soybean varieties.
出处 《中国农学通报》 2015年第30期96-100,共5页 Chinese Agricultural Science Bulletin
基金 贵州省科学技术基金项目"基于农杆菌EHA101介导的芸豆转基因受体系统研究"(黔科合J字[2015]2005号) 贵州省毕节市科学技术农业攻关项目"高蛋白质大豆资源收集筛选及示范"(毕科合字[2013]21号)
关键词 大豆 “3414” 应用 聚类分析 soybean "3414" application cluster analysis
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