Abstract
ABSTRACTProductivity of bread wheat (Triticum aestivum L.) in Ethiopia can be improved by the identification of adaptable, high-yielding and rust-resistant genotypes through the evaluation of elite wheat genotypes for yield in multi-environment trials. Thus, our objective was to evaluate 16 bread wheat genotypes across four locations in 3 years (2015, 2016, and 2017) during the main crop production seasons in Ethiopia. Grain yield data were subjected to the additive main effects and multiplicative interaction (AMMI), genotype plus genotype by environment interaction (GGE) biplot and AMMI stability value (ASV) analyses to exploit genotype-by-environment interaction (GEI). Further, the correlation between total rainfall received during the growing seasons and grain yield performance was computed. Variation attributable to genotypes, environments, and GEI was highly significant (P < 0.01). Genotypes ETBW 8160 and ETBW 8180, with grain yield of 2529 and 2512 kg ha−1, respectively, were identified by AMMI, GGE, and ASV analyses as high-yielding with stable performance. These genotypes are recommended for further breeding or production in the region. GGE biplot analysis showed that years within locations were grouped into different clusters without forming mega-environments. Mean grain yield of test genotypes was significantly correlated (r = 0.64; p ≤ 0.01) with rainfall received during September, indicating that the increase in rainfall in this month would have a positive effect on grain yield. However, the rainfall amount during September has decreased and is erratic. This indicates the need for supplemental irrigation for the wheat farms.
Published Version
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