The experiment, for oil content analysis, was conducted for two growing seasons under rain fed condition (2012-2013) in Humera and Dansha, and in a single year (2013 cropping season) in Sheraro (a total of five environments). The experiment, comprised of 13 sesame genotypes, laid out in randomized complete block design of three replications with the objective of determining the magnitude of Genotype × Environment Interaction (GEI) and oil content. There was highly significant (p<0.01) oil content variation based on genotypes, environments and GEI resulting 26, 42.7 and 30.9% of the total sum of squares for the oil content variation, respectively. The grand mean of the oil content was 53.9%, yielding genotypes G4 and G11 with the highest oil content (55.1%) each and G8 with the lowest oil content (51.4%). G4 was the exceptional genotype with highest oil content (55.1%) and oil yield (512.9 kg/ha). Environments, E4 and E5 were the favorable environments and E1, E2 and E3 were unfavorable environments for sesame oil production. According to the additive main effects and multiplicative interaction (AMMI1) bi-plot, genotypes G4, G13 and G10 were stable genotypes and genotypes G2, G8, G9, G3 and G1 were unstable genotypes in most of the environments. The AMMI 2 bi-plot showed that, genotypes G2, G3 and G9 were specifically adaptable genotypes and genotypes G10, G12, G4 and G7 were widely adaptable in most of the environments for their oil content. Oil content of sesame varies highly both across years and locations.
Key words: Adaptable, additive main effects and multiplicative interaction (AMMI), bi-plot, environment, stability.
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