蜡梅品种的数量分类研究

A Study on Numerical Classification of the Wintersweet Cultivars

在对蜡梅品种进行调查的基础上,根据其形态特征对调查到的62个蜡梅品种进行命名,把数量分类学中的Q型聚类分析方法应用于蜡梅62个品种的分类,并对24个性状进行了R型聚类分析和主成分分析。Q型聚类分析的结果表明:内被片颜色应作为蜡梅品种分类的一级标准,晕心、乔种和红心不易分别单独作为分类标准,应将晕心归并到素心中,乔种和红心归并到紫心当中,由此将蜡梅品种按照内被片颜色分为素心、紫心和绿心三大类;此外,聚类分析还表明中被片的形状即其长宽比在蜡梅品种分类中也起着重要的作用,因此将其作为蜡梅品种分类的二级标准;R型聚类分析的结果揭示了24个性状特征对进化具有独立作用;主成分分析表明:24个性状可综合为9个主成分,其累积贡献率达77.3%,根据前9个主成分与性状间的相关性,选出了影响力比较大的16个性状。

The paper deals with the numerical classification of 62 wintersweet [ Chimonanthus praecox （ L. ） Link ] cuhivars, 24 characters within 62 cultivars of wintersweet were selected for the numerical classification on the basis of investigation and nomenclation. Results obtained through Q cluster analysis show that the inner-perianth color is served as the first classification criteria, faint-center, speckle-center and red-center can not be separately served as classification criteria, faint-center should be mergered to plain-center, speckle-center and red-center should be mergered to purple-center. Thus wintersweet cultivars are separated into plain- center, purple-center and green-center according to the inner-perianth color, besides, cluster analysis also shows that the form of the middle-perianth has an important effect on wintersweet cultivars classification, so it is served as the second classification criteria. R cluster analysis shows that the 24 characters have independent influences on the genetic relationship. Other questions of wintersweet cuhivars classification were also discussed. The principal component analysis showed that the 24 characters were intergrated into 9 principal components （PC） and their accumulative contributor ratio amounted to 77.3%, and 16 major discriminating characteristics were selected according to the relativity between 9 PC and characters.