This study aimed to identify high-yielding and stable bread wheat genotypes through genotype × environment interaction analysis using GGE biplot methodology. A total of 160 genotypes were evaluated during the 2023 and 2024 cropping seasons at Dabat and Adet in northwestern Ethiopia using an alpha lattice design with two replications. Significant effects of genotype, environment, and their interactions (p ≤ 0.0001) were observed across all eleven agronomic traits studied. The analysis revealed that genotypes G10, G36, G52, G81, and G28 consistently combined superior grain yield with high stability across environments. Among the test sites, Dabat 2024 emerged as an ideal environment for evaluating grain yield performance. Environmental clustering further delineated two distinct mega-environments, providing valuable insights for breeders in selecting genotypes with either specific or broad adaptation. These findings highlight the utility of GGE biplot analysis in guiding wheat breeding programs toward improved yield stability and targeted genotype deployment.
Workineh Fenta, Assefa Sintayehu, Tesfaye Alemu et al.· Turkish Journal Of Field Cro...· 0 citations
Septoria tritici blotch (STB), caused by Zymoseptoria tritici is among the most damaging foliar diseases of wheat, with yield losses reaching up to 82% under favorable conditions. To identify resistant sources, one hundred sixty bread wheat genotypes were screened at Dabat and Adet in northwestern Ethiopia during the 2023 and 2024 cropping seasons using an alpha lattice design with two replications. Disease severity was assessed at three growth stages and agronomic traits were recorded across environments. Combined analyses revealed that 17.5% of the tested genotypes exhibited resistant responses to STB, producing superior grain yield (≥ 4.5 t ha⁻¹) and thousand-kernel weight (≥ 45.41 g). Additionally, 52.5% of genotypes were moderately resistant, whereas 30% showed moderately susceptible reactions. Highly significant differences (P < 0.0001) were observed among genotypes for all studied traits, which were negatively correlated with disease parameters. The highest grain yield (5160.88 kg ha⁻¹) was obtained from genotype G81. This genotype also exhibited significantly lower disease severity at maturity (24.35%) and a significantly reduced AUDPC (968.6) compared with most of the tested genotypes. These findings highlight promising genetic resources for STB resistance, and further molecular studies such as QTL mapping and GWAS are recommended to identify resistance loci and accelerate their utilization in wheat breeding programs.