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选用１０个农艺性状，对２０份大豆品种进行多元统计分析。结果表明，第一主成分为粒重因子。根据主成分分析，对供试亲本进行初步筛选。估算遗传距离，并采用类平均法进行系统聚类分析。选择遗传距离较大且来源不同类群的品种进行组配，可提高育种成效
Ten agronomic traits were selected for multivariate statistical analysis of 20 soybean varieties. The results show that the first principal component is the grain weight factor. According to the principal component analysis, the parents of the test were screened initially. The genetic distance was estimated and the cluster analysis was performed using the method of averaging. Selecting breeds with larger genetic distances and different origins can improve breeding effectiveness