Application of Clustering Analysis in the Design of “3414” Experiment of Soybean

doi:10.11924/j.issn.1000-6850.casb15070022

Abstract

Abstract: In order to explore the relationship of all traits of soybean and their effect on the yield under the “3414” experiment design, the R clustering analysis method was used to study the 9 agronomic traits in the design of “3414” experiment of ‘Andou7’. The correlation coefficient of 9 traits was calculated by using the median clustering method. The results showed that: 9 traits were divided into four groups, and the first group included the pod number, seed number per plant, seed weight per plant, 100 grain weight and yield, the second group included plant height and node number, the third was effective branches, the fourth was bottom pod height. The effect of genotype on variable clustering was removed, and the typical indexes of the class were selected, which could be the reference for the research of soybean varieties.

CLC Number:

S565.1

He Zhihua,Xia Yan,Li Qingchao,Yu Juan,Yu Li,Wang Jin and Yang Shan. Application of Clustering Analysis in the Design of “3414” Experiment of Soybean[J]. Chinese Agricultural Science Bulletin, 2015, 31(30): 96-100.

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