Title: Numerical Taxonomy and Principal Component Analysis of Pumelo Cultivars
Abstract: Q-cluster analysis and R-cluster analysis were used to examine the 23 fruit characteristics of 31 pumelo cultivars,and 23 characteristics were analized with principal component analysis of SPSS12.0.The results revealed that 33 pumelo cultivars were classified into 4 groups based on Q-cluster analysis,23 characteristics were divided into 5 groups according to R-cluster analysis.The principal component analysis showed that 23 characterisitics were intergrated into 7 principal components(PC) and their additive contributing rate amounted to 78.7%,and 13 major discriminating characteristics were selected acording to the relativity between 7 PC and characters.The results provided reference that was benefical for us to use fruit characteristics to evaluate and classify pumelo cultivars.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
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