植物生态学报 ›› 2016, Vol. 40 ›› Issue (10): 1090-1099.DOI: 10.17521/cjpe.2016.0172

• 研究论文 • 上一篇    下一篇

内蒙古山杏种群表型变异

尹明宇, 姜仲茂, 朱绪春, 包文泉, 赵罕, 乌云塔娜*()   

  1. 中国林业科学研究院经济林研究开发中心, 郑州 450003
  • 出版日期:2016-10-10 发布日期:2016-11-02
  • 通讯作者: 乌云塔娜
  • 基金资助:
    国家“十二五”科技支撑计划项目(2013BAD14B02)

High-level phenotypic variations in populations of Armeniaca sibirica in Nei Mongol, China

Ming-Yu YIN, Zhong-Mao JIANG, Xu-Chun ZHU, Wen-Quan BAO, Han ZHAO, Tana WUYUN*()   

  1. Non-Timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou 450003, China
  • Online:2016-10-10 Published:2016-11-02
  • Contact: Tana WUYUN

摘要:

为明确内蒙古山杏(Armeniaca sibirica)种群间和种群内的表型变异程度和变异规律, 以内蒙古山杏自然分布区的13个种群的23个表型性状为研究对象, 采用巢式方差分析、多重比较、变异分析、相关性分析和主成分分析等多种分析方法, 对种群间和种群内的表型多样性及其与地理生态因子的相关性进行了讨论。研究结果表明: 内蒙古山杏的表型性状在种群间和种群内均存在丰富的变异, 种群间的变异大于种群内的变异, 表型性状的平均分化系数为73.03%, 种群间变异是山杏表型变异的主要变异来源。各性状的平均变异系数为14.28%, 变异幅度为7.01%-27.23%, 其中核的变异系数最大, 果的变异系数最小。土默特左旗万家沟种群表型多样性最丰富, 科尔沁右翼前旗察尔森种群表型多样性最小。表型性状主要受经度、年降水量以及年日照时间3个主要地理生态因子影响。通过主成分分析可以把13个种源区划为四大类, 其中乌拉山种群的叶性状和阿鲁科尔沁旗种群的核性状受地理生态因子影响最大。

关键词: 相关分析, 表型分化, 表型变异, 山杏

Abstract:

Aims Our objectives were to determine the variations in phenotypic traits of Armeniaca sibirica populations and their spatial patterns. Methods We used nested variation, coefficient of variation, multi-comparison, correlation analysis and principal component analysis to analyze the 23 phenotypic traits for 130 individuals in 13 populations of A. sibirica. Important findings The results showed that there were significant differences in phenotypic variations among and within populations. The variation was greater among populations (47.15%) than within population (16.43%). The mean phenotypic differentiation coefficient was 73.03% among populations, indicating the variance among populations being the main source of the phenotypic variation. The average variation coefficient of 23 traits ranged from 7.01% to 27.23%, with an average of 14.28%. The variation coefficient of nutlet was highest (15.67%), and the variation coefficient of fruit was smallest (12.11%). The phenotypic diversity is highest in Wanjiagou Tumotezuoqi and smallest in Horqin, Right Front Banner Chaersen. Longitude, mean annual precipitation and sunshine duration were significantly correlated with major traits of phenotypic. The 13 populations could be divided into four groups according to the principal component analysis. Leaf traits of Wula Mountain and nutlet traits of Archorchin Banner were significantly correlated with ecological and geographic factors.

Key words: correlation analysis, phenotypic differentiation, phenotypic variation, Armeniaca sibirica