安徽农业科学2017，Vol.45Issue(31)：34-35,38,3.
新疆春小麦品种(系)农艺性状的主成分和聚类分析
Principal Component Analysis and Cluster Analysis of the Agronomic Traits of Spring Wheat Varieties(Lines) in Xinjiang
摘要
Abstract
[Objective] Cluster analysis and principal component analysis were performed for the agronomic traits of spring wheat varieties (lines) in Xinjiang.[Method] 30 spring wheat varieties(lines) were selected,the characters were analyzed by principal component analysis and cluster analysis.[Result] 4 agronomic traits (growth period,the highest total stem number,the number of spike and the rate of spike)were the main factors affecting the yield of spring wheat.30 kinds of varieties (lines) were divided into 4 categories when the genetic distance was 8.37.[Conclusion] It's easy to obtain high yield when the growth period of spring wheat varieties (lines) was shorter,the highest total stem number was moderate,the number of spike and the rate of spike were higher.关键词
春小麦/农艺性状/主成分分析/聚类分析Key words
Spring wheat/Agronomic characters/Principal component analysis/Cluster analysis分类
农业科技引用本文复制引用
管利军,朱晓平,陶志柱,郑新疆..新疆春小麦品种(系)农艺性状的主成分和聚类分析[J].安徽农业科学,2017,45(31):34-35,38,3.基金项目
兵团科技特派员创新创业计划(2015CA009) （2015CA009）
十三师基本科技计划(2015B02,2016B03). （2015B02,2016B03）
