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林业科学 ›› 2008, Vol. 44 ›› Issue (2): 70-77.doi: 10.11707/j.1001-7488.20080211

• 论文 • 上一篇    下一篇

祁连山青海云杉天然群体表型性状遗传多样性分析*

王娅丽1 李毅1.2 陈晓阳2   

  1. (1.甘肃农业大学林学院 兰州730070; 2. 北京林业大学林木花卉遗传育种教育部重点实验室 北京100083)
  • 收稿日期:2006-12-04 修回日期:1900-01-01 出版日期:2008-02-25 发布日期:2008-02-25
  • 通讯作者: 李毅

Phenotypic Diversity of Natural Populations in Picea crassifolia in Qilian Mountains

Wang Yali1,Li Yi1,2,Chen Xiaoyang2   

  1. (1.College of Forestry, Gansu Agricultural university Lanzhou 730070; 2. Key Laboratory of Forest and Flower Genetics and Breeding of Ministry of Education Beijing Forestry University Beijing 100083)
  • Received:2006-12-04 Revised:1900-01-01 Online:2008-02-25 Published:2008-02-25

摘要:

调查祁连山青海云杉天然分布区的10个群体,每群体10个个体,以系统揭示其表型变异程度和变异规律为目的,对针叶、球果、种鳞、种翅和种子的17个表型性状进行系统的比较分析。采用方差分析、多重比较,相关分析、聚类分析等多种分析方法,对群体间和群体内的表型多样性进行讨论。方差分析结果表明:各性状在群体间都存在极显著差异;除球果干质量和球果长/球果径外,其余性状在群体内都存在着极显著的差异。表型分化系数即群体间变异为31.20%,小于群体内的变异(68.80%)。17个表型状间多数呈极显著或显著的正相关。表型性状呈现出以经度变异为主的梯度规律性。通过表型性状的聚类分析可以将青海云杉10个群体划分为4个类群。

关键词: 青海云杉, 天然群体, 表型多样性

Abstract:

This study investigated and selected 10 natural populations of Picea crassifolia in Qilian mountains,based on its natural distribution.Three needle traits, four cone characters, three seed scale traits, three seed wing traits and four seed traits in 10 trees sampled from each of the 10 populations were measured to investigate the phenotypic variation of natural populations and the relationship between the phenotypic variation and their different distribution areas. The methods of ANOVA analysis, multicomparison, correlation analysis and hierarchical cluster analysis were used for analysing the measured data. The results showed that there were significant differences in all the traits among populations, and there were significant differences in the traits among individuals within population except the cone dry weight and cone length/cone width. The variation among populations, that is the mean phenotypic differentiation coefficient (Vst), was 31.20% and smaller than that within populations (68.80%). The traits variation of the populations was affected mainly by longitude in spatial distribution. According to the UPGMA cluster analysis, the 10 populations could be divided into four groups.

Key words: Picea crassifolia, natural population, phenotypic diversity