Tesfaye Walle Mekonnen"> Key words: Cluster analysis, Ethiopian mustard, genetic divergence, principal component analysis."> Tesfaye Walle Mekonnen"> Studies on genetic divergence analysis of different Ethiopian mustard (Brassica Carinata A.Braun) genotypes growth in Debre Tabor, Ethiopia Article Number: – Direct Research Journal of Agriculture and Food Science
Studies on genetic divergence analysis of different Ethiopian mustard (Brassica Carinata A.Braun) genotypes growth in Debre Tabor, Ethiopia Article Number: Studies on genetic divergence analysis of different Ethiopian mustard (Brassica Carinata A.Braun) genotypes growth in Debre Tabor, Ethiopia Article Number: – Direct Research Journal of Agriculture and Food Science
Original Research Article

Studies on genetic divergence analysis of different Ethiopian mustard (Brassica Carinata A.Braun) genotypes growth in Debre Tabor, Ethiopia

Tesfaye Walle Mekonnen
Article Number: DRJA17086510
DOI:
ISSN: 2354-4147

Vol.2 (10), pp. 164-171, November 2014

Copyright © 2014
Author(s) retain the copyright of this article


Abstract

The study was carried out with Ethiopian mustard genotypes to assess the genetic diversity for yield and yield related traits. The Euclidean genetic distances are the square roots of the sum of square of the distance between the multidimensional space values of the variables for any two genotypes. This had been used to classify pair of genotypes into different groups based on genotypes genetic distance. The genotypes were evaluate for 16 characters and showed wide variability for components studies. Cluster analysis had revealed that the 36 genotypes were grouped in 20 distinct clusters. The maximum average intra cluster D2 was obtained in cluster XIII (D2=715.4), at the same time as the lowest D2 was recorded in cluster XIV (D2=166.6), which shows the presence of less genetic variability or diversity within these clusters. Principal component analysis revealed that eleven PCs (PC1 “ PC10), which are extracted from the original data and having latent roots greater than one, accounting just about 94.6% of the total variation. It was also renowned that differentiation of Ethiopian mustard genotypes into different clusters was because of the little contribution of few characters rather than the cumulative effect of a number of characters. The information obtained from this investigation can be used to diagram crosses and maximize the use of genetic diversity and expression of heterosis.

Key words: Cluster analysis, Ethiopian mustard, genetic divergence, principal component analysis.
 Received: July 1, 2014  Accepted: July 13, 2014  Published: November 30, 2015



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