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Articles by Muez Mehari
Total Records ( 2 ) for Muez Mehari
  Muez Mehari , Sentayehu Alamerew and Berhane Lakew
  Protein content is a prerequisite for malting quality and it is highly affected by environment. The objective of this study was to quantify the magnitude of genotype by environment interaction and assess the protein content of malt barley genotypes in diversified locations. Eight malt barley genotypes were evaluated in randomized complete block design using three replications at six locations of Tigray, Ethiopia durining 2013/2014 main cropping season. The additive main effect and multiplicative interaction effect model (AMMI) analysis revealed significant differences (p<0.01) for genotype, location and genotype by location interaction for protein content. The magnitude of location was twice the magnitude of genotype. Hence, the malt barley genotypes had not a consistent rank across location. The AMMI model clearly indicated the presence of large magnitude of genotype by location interaction which can be partitioned into four significant interaction principal components. The malt barley genotypes were best explained by the AMMI2. Therefore, this model is vital for protein content study in the area. According to the additive main effect and multiplicative interaction effect biplot 1 analysis and ranking biplot f the GGE the genotypes Holkler and Bekoji were stable for desirable protein content for malting. The AMMI1 biplot indicated that locations Korem, Emba-hasti and Astella were unfavorable having protein content less than the grand mean. However, Hashange Mekhan and Hagara-Selam were favorable with protein content greater than the grand mean. In the malting industry protein content is not the only indicator and other quality requirements have to be incorporated for full packaged recommendation of the malt barley genotypes.
  Muez Mehari , Sentayehu Alamerew and Berhane Lakew
  Eight malt barley genotypes were evaluated in randomized complete block design using three replications at six locations in Tigray region during 2013/2014 main cropping season. The objective of this study was to quantify the magnitude of genotype by environment interaction and yield stability of malt barley genotypes. The additive main effect and multiplicative interaction effect model (AMMI) analysis revealed significant difference (p<0.01) for genotypes, locations and genotype by location interaction. The magnitude of the testing location was greater than the genotype by location interaction and the genotype. This indicates that the testing locations were diversified in discriminating the genotypes. The AMMI model clearly demonstrates the genotype by location interaction by partitioning into two significant interaction principal components that capture 83.84% of the genotype by location interaction. According to the stability analysis of the additive main effect and multiplicative interaction effect Stability Value (ASV) and the AMMI 1 biplot analysis the genotype Bekoji and Fire-Gebs were the most stable coupled with higher grain yield greater than the grand mean where as the genotypes Sabini and HB-1533 were unstable. Using the AMMI 1 biplot analysis, the testing locations, korem, Hashange, Mekhan and Emba-hasti were favorable testing locations whereas Hagara-Selam was unfavorable testing location.
 
 
 
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