Genotype-by-environment interaction analysis of maize hybrids for grain yield and maize streak virus severity in the mid-altitude agro-ecologies

Abstract

The objective of this study was to determine the magnitude of G × E, and to select promising experimental maize hybrids with high grain yield and MSV resistance. Fifty genotypes comprising of 45 newly developed single cross hybrids and five standard checks were evaluated using a 5 × 10 alpha lattice design with two replications across six environments. The Additive Main Effects and Multiplicative Interaction (AMMI) and the Genotype and Genotype by Environment (GGE) biplot models were used to quantify G × E interaction. AMMI analysis revealed that genotype, G x E and environmental effects contributed to 12.4%, 17.76% and 52.06% of the variation in yield, respectively. Experimental hybrid G43 (CML509/CML390) had a relatively high mean grain yield of 6.70 t ha-1 and moderate MSV severity of 31.88% across the six testing environments. This hybrid can be recommended for direct production, or for three-way hybrid development. Hybrids with low MSV severity scores but exhibiting low grain yields could be useful genetic resources for MSV resistance breeding in maize.

Additive Main Effects and Multiplicative Interaction and Genotype Main Effect and Genotype by Environment Interaction Effects-Biplot Analysis of Sorghum Grain Yield in Uganda

“…In this study the Additive Main effects and Multiplicative Interaction (AMMI) and the Genotype Main Effect and Genotype by Environment interaction effects (GGE) models was adopted. Nyaligwa et al (2018) acknowledged that AMMI and GGE models have been used by many breeders to analyse GE1. AMMI employs both analysis of variance (ANOVA) and principle component analysis (PCA) (Zobel et al, 1988) to analyse the main effects (additive effect) and the non-additive residual effect (Akter et al, 2014) respectively to ascertain GEI for trait of interest such as sorghum grain yield in this current study.…”