Chin J Plant Ecol ›› 2016, Vol. 40 ›› Issue (10): 1090-1099.DOI: 10.17521/cjpe.2016.0172

• Research Articles • Previous Articles     Next Articles

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

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.

http://jtp.cnki.net/bilingual/detail/html/ZWSB201610011

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