Numerical Taxonomy Study of Salvia miltiorrhiza Germplasm Resources
Guo Linlin
Zong Chengkun
Liu Tian
Liu Zhengbo
Song Zhenqiao
Wang Jianhua
Abstract：Based on the survey of S.miltiorrhiza germplasm resources,the numerical taxonomy method was used for cluster analysis of 33 cultivars with 37 morphological characters.The results revealed that 37 characters could be divided into 8 groups and those belonging to the same group had certain correlations.Prin-cipal component analysis showed that the 37 characters could be consolidated into 9 principal components and their accumulative contribution ratio reached 72.777%.According to the results of cluster analysis and princi-pal component analysis,a classification system of S.miltiorrhiza was preliminarily proposed with leaf size as the first criterion,the branch number,flower color and leaflet number as the second,third and forth criterion respectively.By Mantel correlation detection,18 characters,which could well represent 37 characters,were chosen for germplasm clustering of S.miltiorrhiza.
Keywords：Salvia miltiorrhizaNumerical taxonomyPrincipal component analysis
Publication Date：2014-05-02
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 55-59 )