Cluster Analysis of Agronomic Characters and Nutrition Composition of 55 Soybean Accessions from Heihe Area
To select soybean varieties suitable for sprouts production,55 soybean accessions from Heihe area including control variety S135 were used, and 15 agronomic characters and nutrition composition were analyzed with the method of correlation analysis and principal component analysis(PCA)and K-means Cluster(KCA) of SPSS15.0. Correlation analysis indicated that single- plant yield correlated significantly positive with growth period and pods per plant( P < 0.01) and vegetative period and 100- seed weight (P <0. 05) , single-plant yield correlated significantly negative with bottom-pod height(P< 0.01). Crude fat correlated significantly negative with crude protein(P <0.01 )and crude fibre and vegetative period(P < 0.05). PCA results showed that 5 Eigenvalues of cumulative variance proportion 84.49 % were selected for evaluation of soybean varieties in Heihe. By the KCA.55 soybean varieties was classified into 5 clusters,five varieties and S135 belonged to first clusters, which could be used to grow soybean sprouts. The selected 6 soybean varieties would be useful for breeding and selecting good soybean sprouts varieties.
Soybean varietiesCorrelation analysisPrincipal component analysisK- means cluster analysis
国家科技期刊平台
NSTL
万方数据
维普
