Authors : Zekeria Yusuf, Wassu Mohammed, Shimelis Hussein, Arno Hugo and Habtamu Zeleke
Abstract: Multiple-environment trials identify genotypes that thrive in different environments since the occurrence of genotype x environment interaction (GEI) produces stable performance of genotypes. This research was conducted to determine the effect of GEI on the stability of groundnut genotypes for kernel yield. The field experiment was conducted for 16 groundnut genotypes evaluated for kernel yield in a Randomized Complete Block Design (RCBD) across six locations in Ethiopia. The additive main effect and multiplicative interaction (AMMI) Model analysis of variance (ANOVA) revealed that the largest proportion of the observed kernel yield variation was due to GEI (41.5%) and G (38.5%) rather than environment (19%). The mean yield, stability parameters from linear regression, AMMI and genotype main effect and genotype x environment (GGE) biplot models selected Bahagudo as the best genotype in across environments and Tole-1, Werer-962 and Manipeter genotypes with second to fourth highest kernel yield identified as best in favorable, representative and unfavorable environments, respectively. The GGE biplot has shown that the six environments fell into two sectors with different winning genotypes. Babile and Guba were identified as representative and discriminating environments, respectively. Therefore, it is necessary to grow groundnut genotypes in the environments where they performed best and testing genotypes in most discriminating environments to reduce the cost related to testing genotypes over locations.
Zekeria Yusuf, Wassu Mohammed, Shimelis Hussein, Arno Hugo and Habtamu Zeleke, 2021. Kernel Yield Stability Analysis in Groundnut (Arachis hypogea L.). Agricultural Journal, 16: 57-64.