Genetic variation for seed yileld and morphological triats in strawberry clover (Trifolium fragiferum L.) populations through principal components and cluster analyses

Document Type : Research Paper

Authors

1 Assistant Professor, Research Institute of forests and rangelands.

2 technical assistant, Research Institute of forests and rangelands.

Abstract

In order to study the genetic variation for seed yield and its components among 9 accessions of strawberry clover (Trifolium fragiferum L.), a randomized complete blocks design was conducted during 2001-2003 in Karaj, Iran. The data were collected for leaf lamina area. Internodes length, petiole length, canopy height, stand density, growth habit (prostrate), number of inflorescences per stolon, number of inflorescences per area, number of stolons per area, number of floret per pod, number of seeds per pod, thousand seed weight, seed yield and dry matter yield. The data were subjected to analysis of variance for each year and combined over two years. The data also were subjected to principal components and cluster analyses.
The results showed significant differences between genotypes for all traits except thousand grain weight. The accessions 20258, 134 and 1608 were the best genotypes for both seed and forage production. Genotype 2580 originated from Australia had more prostrate growth habit than other Genotypes.
Using principal components analysis, the most important variables for seed yield characters were identified. First three independent components accounted for 85% of total variation. The first principal component indicates that forage dry matter yield, petiole length, leaf lamina area, canopy height were important characters for classification. Internodes lengths, growth habit (prostrate), number of stolons per area, number of inflorescences per stolon, number of floret per pod were important characters in the second component. For third component, number of stolons per area, number of inflorescences per area, number of seeds per pod and seed yield were determined. The results indicated that 1, 2 and 3 components were known as dry matter yield, prostrate habit growth and seed yield components respectively.
Based on Ward,s scluster analysis, entries were divided into three groups. Accessions in clusters 2 including genotypes 134 and 20258 averaged well above the overall mean for all of traits. In Cluster number 3 genotype 720 originated from Tabriz had the lowest values for both dry matter yield and seed yield. Distribution of genotypes based on the first two components scores was in agreement with cluster analysis

Keywords


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