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Journal of Agriculture ›› 2015, Vol. 5 ›› Issue (9): 57-63.doi: 10.11923/j.issn.2095-4050.cjas15020017

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Comprehensive Assessment by Principal Component Analysis and Cluster Analysis of Adzuki Bean Varieties

  

  • Received:2015-02-26 Revised:2015-05-18 Accepted:2015-05-25 Online:2015-09-28 Published:2015-09-28

Abstract: The correlation analysis, principal component analysis and cluster analysis of 11major traits of 30 adzuik beans were analyzed. The results showed that the highest coefficient of variation was observed in numbers of branches per stem(26.38%), and the lowest was pod length(5.66%). The results of correlation analysis showed that growing period, days after flowering, plant height, numbers of branches and pod number per plant was significantly positive relationship with yield per plant. The results of principal component analysis showed that 11 traits might be represented available be five principal components(cumulative contribution rate of 92.3955%). According to the clustering results, six parameters including seed number per pod, pod number per plant, numbers of branches, days before flowering, plant height and 100-seed weight from five categories of principal components could instead of the original 11 traits so as to simplify the evaluation indicator system. Comprehensive assessment of 11 characters indicated two Tangshan local varieties were best , varieties which come from Dongbei were worst.

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