Plant Diversity ›› 2012, Vol. 34 ›› Issue (3): 271-286.DOI: 10.3724/SP.J.1143.2012.11183

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A Numerical Taxonomic Study of the Euonymus Section Echinococcus (Celastraceae)

 ZHENG  Yan-Chao, MU  Xian-Yun, LI  Yan-Nan, TU  Qiang, ZHANG  Zhi-Xiang   

  1. Laboratory of Systematic Evolution and Biogeography of Woody Plants, College of Biological Sciences
    and Biotechnology, Beijing Forestry University, Beijing 100083, China
  • Received:2011-12-14 Online:2012-06-25 Published:2012-05-10
  • Supported by:

    国家自然科学基金项目 (30870149)


Based on 30 morphologic characters from 1500 specimens representing 13 species within the section Echinococcus, Euonymus, a numerical taxonomic study is presented. The result of cluster analysis showed that the distance between E.americanus and E.chenmoui is the nearest. Two series found by Blakelock in the section is not agreed. Some species which had confusing genetic relationship (E.hemsleyanus and E.angustatus, E.echinatus and E.subsessilis, E.hystrix and E.mengtseanus, E.acanthocarpus and E.tengyuehensis) showed far distance with each other. Characters which had obvious difference between these species were studied using analysis of variance, the result showed that there were significant difference on these characters (angle of leaf apex, length of leaf, angle between lateral vein and midrib, length of peduncle etc.). The result supported the conclusion that E.mengtseanus and E.tengyuehensis should be removed from the section. E.hemsleyanus and E.angustatus should be considered as separate species. Because there were no enough research data in crossed region, genetic relationship between E.echinatus and E.subsessilis should be researched in the future. The result of factor analysis showed that characters were independent in the experiment, 18 characters including length of leaf, angle between lateral vein and midrib, number of inflorescence branch, length of capsule (including prick) etc. were of significance for classification of section Echinococcus.

Key words: Euonymus, Echinococcus, Characters, Numerical taxonomy, Cluster analysis, Analysis of variance, Factor analysis

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