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浙江省天南星族药用植物的数量分类学研究
引用本文:孙红祥,薛祥骥,叶益萍.浙江省天南星族药用植物的数量分类学研究[J].中药材,2000,23(12):735-738.
作者姓名:孙红祥  薛祥骥  叶益萍
作者单位:1. 浙江大学药学院生药教研室,杭州,310006
2. 浙江省医学科学院药物研究所,杭州,310013
摘    要:以浙江省天南星族药用植物13种为13个分类单位,根据植物形态列出40项性状,用单链法、全链法、中间距离法WPGMA和WPGMC、重心法、类平均法、可变类平均法、可变法等系统聚类方法进行数量分类;以比较系数作为判断标准评价各种方法的分类效果,并根据结合分析对各树系图进行等级分界值确定,探索彼此间的系统关系。结果表明:WPGMA法分类效果最佳,不仅能区分天南星族型头尖属、天南星属和半夏属,而且对天南星属各组的分类也取得理想结果。本研究结果与经典分类结果吻合,可为天南星族药用植物的分类和鉴定作参考。

关 键 词:天南星族  药用植物  数量分类学  浙江
修稿时间:2000年4月19日

Numerical Taxonomy of Medicinal Plants from Areae in Zhejiang Province
Sun Hongxiang,Xue Xiangji,Ye Yiping.Numerical Taxonomy of Medicinal Plants from Areae in Zhejiang Province[J].Jorunal of Chinese Medicinal Materials,2000,23(12):735-738.
Authors:Sun Hongxiang  Xue Xiangji  Ye Yiping
Institution:College of Pharmacy, Zhejiang University, Hangzhou 310006.
Abstract:Numerical taxonomic studies were done on 13 species from 3 genera of tribe Areae in Zhejiang, used as 13 operational taxonomic units (OTUS). 40 morphological characters were used for analysis. Euclid distance coefficients used to show quantitative index of similarity among OTUS were computed by standardized data. The dendrograms from 8 systematic cluster methods including single linkage method, complete linkage method, median method (beta = 0 WPGMA) and (beta = -0.25 WPGMA), centroid method, group average method, variable group average method (beta = -0.25) and variable method (beta = 0.25) were constructed respectively. WPGMA was slected as the optimal one by computing the comparative coefficients of every cluster result and the boundary of taxa in its dendrogram determined by a method to treated IBM computer with the program by BASIC language. The Results showed that 13 OTUs were classified as 3 clusters by broken line L2, namely, cluster I: Typhonium; cluster II: Arisaema; cluster III: Pinellia, and cluster II further as 4 groups by L1, which belong to Section Pistillata, Arisaema, Sinarisaema and Tortuosa respectively. Being consistent with those from classical taxonomy, the results in this study may be helpful to the classification and identification of the medicinal plants from tribe Areae in Zhejiang Privince.
Keywords:Areae  Medicinal plants  Numerical taxonomy  
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