Journal of Agricultural Science and Food Research
Open Access

Abstract

Cluster and Principal Component Analysis of Drought Tolerant Tef [Eragrostis Tef (Zucc.) Trotter] Genotypes

Worku Kebede

Breeding for high yield crop requires information on the nature and magnitude of variation in the available materials, relationship of yield with other agronomic characters and the degree of environmental influence on the expression of these components characters. Hierarchical cluster analysis and principal component analysis is useful guide to evaluation of different genotypes. This study was conducted with the aim of identifying better performing drought tolerant tef genotypes and related traits with the help of principal component analysis and cluster analysis of major quantitative traits of the crop. Cluster analysis based on Unweighted Pair Group Method with Arithmetic Means (UPGMA) clustering method from Euclidean distances matrix estimated 12 clusters of 49 tef genotypes. The genetic distance of for all possible pair wise of tef genotypes ranged from 1.90 to 11.21. Principal components analysis revealed that five principal components with Eigen-values greater than unity accounted for 79% of tef genotypes.

Published Date: 2021-02-15; Received Date: 2021-02-01