GGE biplot analysis of genotype by environment interaction and grain yield stability of oat (<i>Avena sativa</i> L.) in Ethiopia

Abstract A total of 24 oat genotypes were evaluated across 9 environments using a randomized complete block design with 3 replications. The combined analysis variance indicated that grain yield was significantly affected by genotype, environment, and genotype environment interaction (GEI). environment's main effect explained 44.62% the variation, whereas GEI captured 28.84% 26.54%, respectively. plus (GGE) biplot first two principal components also (PC1 = 68.46%) (PC2 11.84%) sum squares. G8 (SRCPX80Ab2267), G17 (SRCPX80Ab2310), G5 (Sorataf), G14 (Was), G19 (Bonsa), G22 (SRCPX80Ab2691), G12 (SRCPX80Ab2291), G11 (SRCPX80Ab2806), G4 (CI‐8251), G16 (Jassari), which located at left side PC1, showed better performance. smaller PC1 values observed for G19, G14, G8, G11, G12, G17, showing stability. ideal center concentric circles desirable G22. polygon view GGE mega‐environment contains E3 (Ginchi) G16, second E7 (Bekoji) E8 (Kuyu) being winning genotypes. vertices fourth mega‐environments (E6—Kulumsa) remaining grouped in third without vertex genotype. Furthermore, E2 (Ada‐Berga) an test E5 (D/Zeit), E1 (Holetta), E4 (Jeldu) identified as favorable environments. Regarding mean stability, best can be considered adapted to wider