Research on Selection of Representative Traits for Reproductive Performance in Pigs by Principal Component Analysis and Cluster Analysis

Abstract

Abstract: Eleven reproductive traits of Landrace sow were studied. The phenotypic parameter of these traits and the coefficients of correlation among them were computed. The author employed the hierarchical principal component analysis and cluster analysis to select the representative traits or reproductive performance in landrace sows. The results indicated that eleven reproductive traits could be simplified 4 principal components. These 4 principal components could account for 88.312% variance. According to the same results from the two mathematics methods, least four traits including the weaning weight of litter, the survival rate at weaning, the newborn body weight, the number of nipples 4 properties should be considered. The results of principal component analysis and cluster analysis will provide the reference for selection of reproductive traits for Landrace sows.

CLC Number:

S828

Zhang Li, Xiao Tianfang. Research on Selection of Representative Traits for Reproductive Performance in Pigs by Principal Component Analysis and Cluster Analysis[J]. Chinese Agricultural Science Bulletin, 2008, 24(8): 28-31.

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