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中国农学通报 ›› 2022, Vol. 38 ›› Issue (25): 52-59.doi: 10.11924/j.issn.1000-6850.casb2021-0875

所属专题: 生物技术 资源与环境 园艺

• 林学·园艺·园林 • 上一篇    下一篇

基于表型性状的紫藤品种资源分类研究

罗玉兰1,2(), 张国兵3, 张冬梅1,2()   

  1. 1上海市园林科学规划研究院,上海 200232
    2上海城市困难立地绿化工程技术研究中心,上海 200232
    3上海滨江森林公园,上海 200137
  • 收稿日期:2021-09-10 修回日期:2022-06-16 出版日期:2022-09-05 发布日期:2022-08-26
  • 通讯作者: 张冬梅
  • 作者简介:罗玉兰,女,1975年出生,上海人,正高级工程师,硕士,主要从事园林植物引种与选育。Tel:021-54357407,E-mail:luoyulan12@126.com
  • 基金资助:
    国家林草局林业科技发展项目“林业植物新品种测试指南-紫藤属Wisteria Nutt.”。(KJZXZF2018015)

Study on Cultivar Classification of Wisteria According Morphological Characteristics

LUO Yulan1,2(), ZHANG Guobing3, ZHANG Dongmei1,2()   

  1. 1Shanghai Academy of Landscape Architecture Science and Planning, Shanghai 200232
    2Shanghai Engineering Research Center of Landscaping on Challenging Urban Sites, Shanghai 200232
    3Shanghai Binjiang Forest Park, Shanghai 200137
  • Received:2021-09-10 Revised:2022-06-16 Online:2022-09-05 Published:2022-08-26
  • Contact: ZHANG Dongmei

摘要:

为探究紫藤品种资源的性状特征及分类等级,制定紫藤属植物新品种DUS测试指南。以88份紫藤品种资源为材料,对其枝条、叶、花、种子等23个主要表型性状进行观测,分析变异系数、相关性及主成分,在此基础上进行紫藤品种资源的聚类分析。结果表明,16个表型性状在不同紫藤品种资源间表现出明显差异,变异系数为10.66%~126.20%;不同种内的变异系数为0.18%~50.76%,变异程度由高到低依次为多花紫藤(50.76%)、肯塔基紫藤(24.74%)、紫藤(23.55%)、美国紫藤(21.64%)、短齿紫藤(21.40%)、W. × formosa(19.81%)以及W.× valderi(0.18%)。利用类平均法和欧氏距离将88份资源聚为4组,各组内有一定的特征,组间也存在着差异,23个性状反映了紫藤不同种或品种间的特征和变异,紫藤品种分类以种作为分类的前提和基础。花期、花序长短、花色、成熟叶是否复色或花冠是否蝶形可作为紫藤品种资源4级分类的重要标准。

关键词: 紫藤属, 表型性状, 聚类分析, 主成分分析, 品种选育

Abstract:

The paper aims to research morphological characteristics and classification grade of Wisteria, formulate the test guidelines for distinctness, uniformity and stability for new varieties of Wisteria. 23 morphological characteristics of 88 Wisteria cultivars were observed, such as branches, leaves, flowers and seeds. The coefficient of variation, correlation and principal components were studied, and UPGMA cluster analysis of cultivars was carried out. The results showed that there were significant differences in 16 morphological characteristics among different cultivars, and the coefficient of variation was 10.66%-126.20%. The coefficient of variation within different species was 0.18%-50.76%, and the degree of variation was as follows: W. floribunda (50.76%), W. macrostachya (24.74%), W. sinensis (23.55%), W. frutescens (21.64%), W. brachybotrys (21.40%), W. × formosa (19.81%) and W. × valderi (0.18%). The 88 cultivars were divided into 4 groups by UPGMA cluster analysis. Each group had certain characteristics and there were differences among the groups. The 23 morphological characteristics reflected the variation of different species or cultivars. Species was the basis for classification of Wisteria cultivars. Flowering period, inflorescence length, flower color, mature leaf color or corolla butterfly shape could be used as important standards for the four-level classification.

Key words: Wisteria, morphological characteristic, cluster analysis, principal component analysis, variety breeding

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