AMMI analysis of grain yield in rice genotypes across environments

Abstract

The identification of the highest yielding cultivar for a specific environment on the basis of both genotype (G) and genotype x 
environment (GE) interaction would be useful to breeders and producers since yield estimates based only on G and 
environment (E) effects are insufficient. The objective of this study was to demonstrate the usefulness of additive main effects 
and multiplicative interactions (AMMI) model analysis. Replicated grain yield data of rice (Oryza sativa L.) genotypes at 
three locations in Coimbatore (E1), Bhavanisagar (E2) and Aliyar Nagar (E3) were obtained and used for this purpose. 
Through AMMI model analysis, the magnitude and significance of the effects of GE interaction and its interaction principal 
components relative to the effects of G and E were estimated. Among the three, E3 environment was far away from the 
origin.  The environments E2 and E3 condition were exhibiting high interaction effect, whereas the environment E1 had 
moderate interaction effect with the other two environments. The parent TP 1021 R and the hybrids viz., IR 80559 A X RR 
286 R, APMS 6 A X IR 62037 R, IR 75601 A X IR 72865 R, IR 75601 A X RR 347 R, IR 75596 A X MDU 5 R, IR 75596 
A X ASD 06-8 R, CRMS 32 A X IR 62037 R, CRMS 32 A X TP 1021 R and IR 75608 A X ASD 06-8 R showed IPCA 1 
score close to zero with high main effects indicating that these varieties were less influenced by environments. Hence, the 
above said hybrids were stable and had general adaptability for all the environments. Since, the environments E3 had positive 
IPCA 1 score and high mean, it had positive interaction with these genotypes and this environment was considered as the 
stable environment for these hybrids.