Principal Component Analysis and Comprehensive Evaluation on Quality Traits of Peanut Parents
Comprehensive evaluation on peanut main quality traits can provide the basis for peanut quality breeding and production. Principal component and cluster on peanut quality traits were analyzed by using DPSS software. The results showed that the 10 traits were consolidated into 4 principal components which accounted for 80. 73% of total variation. 51 peanut varieties were divided into 6 categories through cluster analysis,and there was a wide genetic distance and quality between each categories. It is an effective way to comprehensively evaluate the peanut quality by principal component analysis and cluster analysis,which not only could avoid the bias and the instability of single factor analysis, but also explore a practical distinction way for the peanut quality analysis and the quality breeding.
NETL
NSTL
万方数据
维普
