摘要
运用以穗部性状特征为基础的形态学分类方法对宜昌地区 77份玉米品种资源进行分类 ,结果分为 9大类。应用主成分分析法对上述资源的 2 8个性状进行分析 ,结果表明前 7个主成分对变异的累计贡献率达 77%。以前 7个主成分为综合指标进行系统聚类 ,77份品种资源被分成 3大类。
The 77 maize variety resources in Yichang region were grouped into nine groups by morphological taxonomy based on ear traits. Principal compomemt analysis was performed for 28 traits of them.The results indicated that the contribution rate of the first seven principal components to total variation of population studied accounts for over 77%.The 77 maize variety resources were grouped into three clusters using the first seven principal components for index by hierarchical cluster method. There was the identity in some degree between two kind taxonomy methods.
出处
《玉米科学》
CAS
CSCD
1998年第2期30-34,共5页
Journal of Maize Sciences
关键词
玉米
品种资源
主成分分析
聚类分析
数值分类
Maize(Zes mays L.),Variety resources,Principal component anslysis,Cluster analysis,Numerical taxonomy