Abstract

Sesame is an oilseed crop grown for its seed and oil for local and export markets and is a great source of income for farmers, traders, processers and the national economy of Ethiopia. However, its productivity and production are influenced by environmental factors. This experiment was, therefore, carried out to estimate the nature and magnitude of interaction of genotypes with the environment and to identify stable sesame genotypes in Eastern Amhara Region. Twelve sesame genotypes were studied in five locations at eight environments in 2010 and 2011 main cropping seasons. The highest oil yields were obtained from genotypes Acc.00047, NN-0143 and Borkena (339.2, 306.0 and 287.5 kg ha-1), respectively. There were highly significant difference (P<0.01) among genotypes, environments and GEI, indicating that genotypes performed differently across locations and the need for stability analysis. Proportion of variance captured by environment 49.6 %, genotypes 13.8 % and GEI 32.1 % of the total variation. IPCA1 and IPCA2 of AMMI model were significant (P<0.01) and captured the largest portion of variation (75.1%) from the total GEI indicated that the AMMI model 2 was the best for the data evaluate. Genotypes Borkena and NN-0143 were stable but genotype Acc.00047 had specific adaptability at potential environment.

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