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Articles by Sentayehu Alamerew Kebede
Total Records ( 2 ) for Sentayehu Alamerew Kebede
  Desawi Hdru Teklu , Sentayehu Alamerew Kebede and Daniel Endale Gebremichael
  Sixty four sesame genotypes were evaluated in 8x8 simple lattice design at Dansha, in Western Tigray, in 2013/14. The objectives of the study were to estimate the extent of genetic variability and association between yield and related traits. Analysis of variance revealed that there was highly significant (p<0.01) difference among the sixty four genotypes for all the fourteen characters studied. Number of capsule per plant and seed yield per ha recorded high Genotypic Coefficients of Variation (GCV) and Phenotypic Coefficients of Variation (PCV). The highest heritability value was for days to 50% flowering. Traits like, number of capsule per plant and seed yield per ha had high Phenotypic Coefficients of Variation (PCV), Genotypic Coefficients of Variation (GCV), moderately high heritability (h2) and genetic advance as a percentage of mean (GAM). This indicates that these characters can be improved through selection than heritability estimates alone. Number of primary branches per plant showed positive significant phenotypic and genotypic correlation with grain yield. Genotypically, path coefficient analysis based on grain yield as a dependent variable revealed that plant height and number of primary branches per plant exerted positive direct effect on seed yield. These characters had also positive and significant correlation with seed yield and this indicates true relationship between these traits and see yield. Therefore, emphasis should be given for these characters of sesame improvement program in future.
  Yared Semahegn Belete , Sentayehu Alamerew Kebede and Adugna Wakjira Gemelal
  A study was conducted to assess the extent and pattern of genetic variability of Ethiopian mustard genotypes with respect to eight seed oil quality traits in 36 Ethiopian mustard genotypes at Holetta Agricultural Research Center, Ethiopia. The experiment was laid out in simple lattice design. Univariate analysis of variance has shown that there was significant variation among genotypes in all traits. Multivariate analysis has resulted in the formation of seven clusters and has shown the presence of substantial genetic diversity for further selection and breeding. Genetic distances among most clusters were significant from which selection of parents may be made for crossing in order to obtain genetic recombination and transgressive seggregants. Genotype in cluster 7 was relatively the highest in oleic and the lowest in erucic acid in its seed oil. Likewise, genotypes in cluster 2 and 4 showed the highest erucic acid and the highest oil content in their seedsm, respectively. Apart from selecting genotypes from the clusters which have higher inter-cluster distance, within a cluster performance of genotypes should also be considered for a particular trait of interest. The cumulative effects of individual traits were responsible for differential grouping of genotypes. The present investigation also revealed that diverse geographic region, though important, it could not be the only index of genetic variations, in which selection pressure, environment and genetic drift may also be the cause.
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