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Abstrato

Genotype by Environment Interaction and Grain Yield Stability Analysis of Medium Set Soybean (Glycine max (L.) Merrill) Genotypes in Parts of Western Oromia

Adane Arega, Alemayehu Dabesa

The present study was aimed to identify and release stable, high yielding and medium maturing soybean varieties with better agronomic performance in parts of western Oromia. To this end, 13 soybean genotypes including the standard check, Billo, were evaluated at three locations (Bako, Uke and Billo) for two consecutive main cropping seasons (2020- 2021). The experiment was laid down in Randomized Complete Block Design in three replications. Additive Main Effect and Multiplicative Interaction (AMMI), Genotype, and Genotype by environment (GGE) interaction biplot and regression analysis were computed to identify stable genotypes across environments. The environment, genotype and genotype by environment interaction (GEI) effects were highly significant (p<0.001) based on combined analysis of variance and additive main and multiplication interaction (AMMI) models. The three models revealed similar result in that G7, G1 and G5 were stable and widely adapted genotypes. However, the genotypes G9, G10 and G12 had adapted low yielding environments. Hence, G7 followed by G1 was relatively stable and high yielding genotypes thus those genotypes were identified as candidate genotypes and recommended for further evaluation under variety verification trail at parts of western Oromia.