喀斯特山区野生燕麦农艺性状的主成分与灰色关联度分析

为进一步发掘喀斯特山区野生燕麦的优异基因资源，拓宽燕麦资源的遗传基础，对采自不同喀斯特山区的80份野生燕麦进行了农艺性状进行主成分和灰色关联度分析。结果表明，主成分分析中，筛选出的特征根累积贡献率大于85%的有穗粒数因子、穗长因子、株高因子以及千粒重因子，共4个主成分；灰色关联度分析中，株高与穗长、有效穗与穗粒数、小穗与株高、穗粒重与穗粒数、千粒重与穗粒重之间相互的关联度最大，关系最为密切。

Principal Component and Gray Relation Analysis on Main Agronomic Traits of Wild Oat in Karst Environments

In order to explore the excellent gene resources and broad the genetic basis for wild oats in karst environments. Eighty of wild accessions from different karst districts were investigated by principal component and gray relation analysis. The results showed that, in principal component analysis, the first four main components, which were grains per panicle factor, spike length factor, plant height factor and 1000-grain weight factor, made the contribution of 85% to variation. In gray relation analysis, between plant height and spike length, number of productive panicles and grains per panicle, panicles per plant and plant height, grain weight per plant and grain weight per plant, 1000-grain weight and grain weight per plant were the highest association degrees, therefore, the relationship among them was greater.