Proposed new stability indices using AMMI model and GGE BIPLOT approach to assess G×E interaction

Breeding for novel genotypes with high yield and stability is a crucial objective in agriculture. Environmental factors play significant role determining genotype's response, which commonly known as genotype-by-environment interaction. In this study, multi-environment experiment three replications of twenty-nine pearl millet one year (2019) was conducted at eight locations India. The Additive main effects multiplicative interaction (AMMI) Genotype Genotype-by-environment (GGE) biplot analyses were used to study the (G x E) identify stable genotypes. A new weighted index proposed, based on standardized grain indices AMMI-based parameters determine high-yielding all environments, seven independent principal component axes (IPCAs) significant. genotypes, while employed most highest-yielding simultaneously. According parameters, G27, G13, G28 found be stable, G10, G11, G13 identified according index. These findings suggest that proposed can