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蜡梅品种的数量分类和主成分分析
引用本文:赵凯歌,虞江晋芳,陈龙清.蜡梅品种的数量分类和主成分分析[J].北京林业大学学报,2004(Z1).
作者姓名:赵凯歌  虞江晋芳  陈龙清
作者单位:华中农业大学园艺林学学院,华中农业大学园艺林学学院,华中农业大学园艺林学学院 430070,武汉,430070,武汉,430070,武汉
基金项目:国家自然科学基金项目 (3 990 0 118)
摘    要:为了解决蜡梅品种分类的问题 ,该文采用了Q型聚类对蜡梅品种进行了数量分类研究 ,对 16个表型性状进行了主成分分析。结果表明 :Q型聚类基本上可以按花大小和花型将 2 0个不同的基因型分为 7类。经过主成分分析 ,可将原 16个性状综合为 6个主成分 ,其累积贡献率可达 85 %以上。文中提出用中轮花被片长度代替花径来度量花的大小 ,并将花大小做为蜡梅品种分类的第一级分类标准。

关 键 词:蜡梅  数量分类  聚类分析  主成分分析

Numerical Classification and Principal Component Analysis of Wintersweet Cultivars
Zhao Kaige,Yujiang Jinfang Chen Longqing.Numerical Classification and Principal Component Analysis of Wintersweet Cultivars[J].Journal of Beijing Forestry University,2004(Z1).
Authors:Zhao Kaige  Yujiang Jinfang Chen Longqing
Abstract:The different wintersweet cultivars and 16 morphological characters were analyzed using a numerical taxonomic method. Results obtained from Q cluster analysis revealed that 20 genotypes were classified into 7 groups based on the size and the shape of flowers. The principal component analysis showed that 16 characters were integrated into 6 principal components and their additive contributing rate came up to 85%. This paper suggested that the length of the middle whorl of tepals instead of the diameter of flower should be used to judge flowers' size. In the classification system, size followed by the shape of flowers should be the most important characters.
Keywords:wintersweet  numerical classification  cluster analysis  principal component analysis
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