Evaluation of yield performance of early maturing soybean (Glycine max L. Merill) genotypes in Ethiopia by using GGE Biplot model

Genotype main effect and genotype by environment interaction biplot analysis is the best fit model for which-won-where pattern analysis, genotype, test evaluation. Hence, aim of this study was to identify stable high-yielding soybean genotypes production in diverse environments using stability model. Eighteen were evaluated across six during 2019 cropping season a randomized complete block design with four replications. Among genotypes, Tiro-afeta gave highest yield (3.71 t ha -1); while Humera lowest (1.37 ha-1), JM-HAR/PR142-15-SB mean grain 2.9 -1 locations. Based on information generated from GGE biplot, Tiro Afeta Areka identified as ideal environments, whereas PR-143-(14), JM-HAR/G99-15-SD-2 genotype. The ‘which won where’ revealed that grouped into three different mega-environments winning genotypes. testing Areka, Sirinka one mega environment; afeta second Jimma Hawasa classified third JM-HAR/PR142-15-SB, PR-143-(14) KS4895 each environment, respectively. used study, JM-HAR/G99-15-SD-2, JM-HAR/PR142-15SB, high yielder these recommended variety verification release after additional evaluation more seasons. Int. J. Agril. Res. Innov. Tech. 12(2): 101-110, December 2022