Study on numerical classification of Alcea rosea varieties
In order to explore the indicators that play a key role in the classification of Alcea rosea varieties and establish a comprehensive classification system of Alcea rosea varieties,75 Alcea rosea varieties were used as research materials,the traits of each variety were observed,and 26 trait indexes were selected for R-type cluster analysis and principal component analysis.The trait indexes with large correlation and small cumulative contribu-tion rate were removed,and then Q-type cluster analysis was carried out on 75 Alcea rosea varieties.The results of R-type cluster analysis showed that except for a few indexes with high correlation,other indexes were scattered and selected reasonably.The results of principal component analysis showed that the 26 indicators could be inte-grated into 8 principal components,with a cumulative contribution rate of 82.818%.The results of Q-type cluster analysis showed that 75 varieties could be divided into 2,3,4 and 5 categories at different levels of binding lines.Among them,the leaf type,leaf length/leaf length,flower type,pistil and stamen petalization,flowering time,pet-al number,flower color and other indicators had great influences in the classification.Flower type,leaf type and flower color were the most important criteria and basis for the classification of Alcea rosea varieties.Therefore,this experimental results indicated that the varieties of Alcea rosea can be divided into three groups:round leaf group,split leaf group and palmatisect leaf group.
国家科技期刊平台
NSTL
万方数据
