Additive Main effect and Multiplicative Interaction (AMMI) model analysis for yield performance and G×E interaction in a multi-environmental trial of aromatic fine rice in Bangladesh

Abstract

The problem of genotype-environment interaction (G×E) in
interpreting multilocus trial analyses and predicting genotype
performance can be mitigated by applying Additive Main effect and
Multiplicative Interaction (AMMI) model analysis. The model AMMI
was used in the present study to determine the effect of genotype,
environment, and their interaction, to determine the extent of G×E
interaction and to identify the factors contributing to G×E interaction
for the best yielding aromatic fine rice genotype grown in four
different districts in Bangladesh. Analysis of variance showed that
the effect of genotypes, environments, G×E interactions were highly
significant for plant height, days to maturity, panicles length, grain
yield. Result showed grain yield had highly significant differences for
environmental traits like (soil properties, phenological, genotypes)
with their interactions which indicated that environments were
different and changeability with the genotypes. Large variations in
total P, Fe and rainfall identified as the main cause of the observed
interaction. Here, Genotype BRRI Dhan34 had the highest mean grain
yield values over four locations, respectively. In AMMI model, among
four locations Dinajpur with Nilphamari were the majority responsive
environments and Dinajpur was the most adjacent responsive location.
Therefore, location Dinajpur with BRRI Dhan34 genotype could be
considered as a better combination for higher grain yield among the
ten aromatic fine rice genotypes.