Leveraging from genotype by environment interaction for bread wheat production in eastern Africa

Genotype by environment interaction and stability analyses of durum wheat elite lines evaluated in Ethiopia

“…Hence, varieties should be tested under multiple environments to evaluate their performance regarding important traits and their stability across these environments (Yan and Tinker 2006). A stable genotype is a genotype which is high yielding with minimum fluctuation in performance when grown in diverse environments (Zerihun et al 2016). In identifying a stable and high yielding variety, breeders face difficulties in selection decisions because of the GEI.…”

“…However, multivariate statistical analysis models are suitable for identifying stable genotypes, grouping mega-environments, and ranking genotypes based on their performance (Dehghani et al 2006). Among those models, the additive main effects and multiplicative interaction (AMMI) model and the genotype main effect and genotype by environment interaction (GGE) biplot are the statistical methods most extensively used for modeling GEI and increasing the efficiency of selection in yield trials and group environments in multi-environment trials of cereal crops, including wheat (Zerihun et al 2016), barley (Pour-Aboughadareh et al 2022, sorghum (Enyew et al 2021), and maize (Katsenios et al 2021). The AMMI model includes both the main (additive) effect and interaction (multiplicative) effect in the results of analysis, and the GGE biplot visualizes multi-environment trial data for better identification of winning genotypes in test environments (Yan and Tinker 2006).…”