2014•Acta Horticulturae SinicaRequires access

Phenotypic Diversity of Rosa beggeriana Populations in Tianshan Mountains of Xinjiang

LI Shi-cha

Open publisher page 1 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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 concepts: Biology, Phenotype, Phenotypic trait, Altitude (triangle), Botany, Genetics, Gene, Geometry

Related papers

Back to paper searchBrowse research topicsOriginal source
Phenotypic Diversity of Rosa beggeriana Populations in Tianshan Mountains of Xinjiang — Research Paper | ScholarLens