https://www.ahs.ac.cn/images/0513-353X/images/top-banner1.jpg|#|苹果
https://www.ahs.ac.cn/images/0513-353X/images/top-banner2.jpg|#|甘蓝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner3.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner4.jpg|#|灵芝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner5.jpg|#|桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner6.jpg|#|黄瓜
https://www.ahs.ac.cn/images/0513-353X/images/top-banner7.jpg|#|蝴蝶兰
https://www.ahs.ac.cn/images/0513-353X/images/top-banner8.jpg|#|樱桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner9.jpg|#|观赏荷花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner10.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner11.jpg|#|月季
https://www.ahs.ac.cn/images/0513-353X/images/top-banner12.jpg|#|菊花

ACTA HORTICULTURAE SINICA ›› 2014, Vol. 41 ›› Issue (8): 1723-1730.

• Research Notes • Previous Articles     Next Articles

Phenotypic Diversity of Rosa beggeriana Populations in Tianshan Mountains of Xinjiang

LI Shi-chao1,YANG Shu-hua1,*,LIU Hai-xing1,GUO Ning1,FU Li2,and GE Hong1,*   

  1. (1Institute of Vegetables and Flowers,Chinese Academy of Agricultural Sciences,Beijing 100081,China;2Beijing Municipal Bureau of Landscape and Forestry,Beijing 100013,China)
  • Received:2014-03-12 Online:2014-08-25 Published:2014-08-25

Abstract: Five populations of Rosa beggeriana in Tianshan Mountains of Xinjiang were selected to analyze the phenotypic diversity based on 11 phenotypic traits from leaves,fruits and seeds. The results showed there were highly significant differences in phenotypic traits among and within populations. The mean phenotypic differentiation coefficient(VST)among populations was 35.76%,less than that of within populations(64.24%),which indicated that the phenotypic variation mainly occurred within populations. The average variation coefficient(CV)of phenotype traits with 14.78% showed that there was low variation of phenotypic traits in Rosa beggeriana populations. Traits on fruits and seeds were the main factors account for phenotypic variations. Correlation analysis showed that there were the correlations between vegetative and reproductive traits. Length of fruit showed a significant positive correlation with the longitude,and the numbers of seeds per fruit showed a highly significant negative correlation with the altitude. The cluster analysis on the phenotypic traits showed 5 populations were divided into 4 groups,which the populations did not strictly classify according to the geography distance.

Key words: Rosa beggeriana, population, phenotypic diversity

CLC Number: