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International Journal of Agricultural Research
Year: 2011  |  Volume: 6  |  Issue: 6  |  Page No.: 470 - 481

Genetic Diversity Analysis of Limmu Coffee (Coffea arabica L.) Collection using Quantitative Traits in Ethiopia

Olika Kitila, Sentayehu Alamerew, Taye Kufa and Weyessa Garedew    

Abstract: To estimate the extent of genetic diversity among Limmu Coffee collection, Coffea arabica accessions from Limu (Jimma) were planted in simple lattice design with two replications. Clustering of the 49 accessions for 22 quantitative characters was performed using the method of average linkage clustering strategy of observations. Genetic divergence between clusters was determined using the generalized Mahalanobis D2 statistics Analysis of variance indicated the presence of significant (p<0.05) variability for most of quantitative traits. However, non significant variation was observed for stem diameter, canopy diameter, internode length of stem, average length of primary branch, internode length of primary branch, number of primary branch and percentage of bearing primary branches. Moreover, clustering analysis grouped the accessions in to four genetic divergent classes. The smallest inter cluster distance (D2 = 5.24) was observed between clusters I and III while the highest and highly significant inter cluster distance (D2 = 93.74) was between cluster III and cluster IV suggesting the coffee materials among clusters were divergent from each other. Furthermore, principal component analysis indicated that about 85.74% of the variation present among accessions was explained by ten principal components. Over all, the study confirmed the presence of trait diversity in Limu coffee accessions and this could be exploited in the genetic improvement of the crop through hybridization and selection.

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