Phenotypic Diversity of Rosa beggeriana Populations in Tianshan Mountains of Xinjiang
LI Shi-cha
Abstract
LI Shi-cha
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.
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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