摘要
通过资源调查与收集,观察和测量了金银花栽培种质41个分类群共743份植物样本的株高、叶长、叶宽、花药长、单枝花蕾数、花蕾颜色等63个性状,采用主成分分析法,从63个编码性状中筛选出6个主成分因子共16个关键性状,作为新的变量,采用Ward联接法和平方Euclidean距离对41个OTUs进行聚类分析。结果显示,以遗传距离11.84为阈值,41个种质被分为5组。因子分析的结果表明,叶形和株型、花蕾性状、被毛及新枝颜色等性状对金银花栽培种质内的分类鉴别有重要的意义。该研究为进行金银花核心种质的筛选和良种选育奠定基础。
Sixty-three morphological traits from 743 specimens of the 41 taxa within the cultivated Lonicera japonica were ob- served and measured, such as the height of plants, the length of leaf, the width of leaf, the length of anther, the alabastrum＇s number of one branch, the color of alabastrum and so on. A numerical taxonomy is presented by using the cluster analysis, principal compo- nents analysis （PCA） and factor analysis. Sixteen of 63 characters were screened by means of PCA and used for cluster analysis of 41 taxa with the method of Ward linkage and average euclidean distance. The cluster analysis showed that the 41 taxa could be divided into 5 groups when the Euclidean distance coefficient was 11.84. The factor analysis indicated that the shape of leaf, color of alabastrum, the pilosity and color of twiggery were of significance for the cultivated L. japonica classification. The results of this study will be a base for the core collection and breeding of L. japonica.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2014年第8期1379-1385,共7页
China Journal of Chinese Materia Medica
基金
国家自然科学基金项目(81373959
81001605)
关键词
金银花
数量分类学
聚类分析
因子分析
性状
Lonicera japonica
numerical taxonomy
cluster analysis
factor analysis
characters
