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对24个夏谷品种(系)的12个性状进行了主成分分析和聚类分析,前5个主成分对总变的贡献率达85.61％。24个品种(系)被分为8类。同时,初步探讨了主成分分析和聚类分析在谷子育种中的应用。
The principal component analysis and cluster analysis were performed on 12 traits of 24 summer grain varieties (lines). The contribution of the first 5 principal components to the total variation reached 85.61%. 24 varieties (lines) are divided into 8 categories. At the same time, the application of principal component analysis and cluster analysis in millet breeding has been discussed.