Rice is a staple crop for over half of the global population, necessitating improved yield stability to meet the increasing demand for food. As it is grown under different input management systems depending on resource availability, farmers’ capacity, and production objectives, genotype × environment interactions greatly affect yield, underscoring the need for breeding programs that improve stability and adaptability across varied management systems. The effects of G × E under conventional (CM), organic (OM), and no-input (NM) management remain poorly understood. With this objective, an evaluation of 46 rice genotypes across three systems used the additive main effects and multiplicative interaction (AMMI) and genotype plus genotype-by-environment (GGE) biplot models to assess yield stability. A multivariate analysis of variance (MANOVA) showed that genotype (G), management (M), and their interaction (G × M) significantly influence yield. GGE biplot analysis identified Kattuyanam, ASD19, Sennar20, Navera, Kalanamak, and Pokkali as highly stable genotypes, while KR09003 and CR1009 showed limited adaptability. AMMI analysis confirmed the results, with PC1 explaining 69.83% of variation, highlighting management as the main factor. Genotypes CO(R)50, PY7, and ADT38 exhibited broad adaptability, whereas KR10019 and Mappillai Samba were suitable under organic systems. Under conventional management, KKL(R)-1, Mappillai Samba, CO(R)50, Kattuyanam, and KR10023 performed well. In organic management, Karudan Samba, Poongar, and Mappillai Samba excelled, while in no-input systems, Mappillai Samba, Kattuyanam, Karuppu Kavuni, and Kitchilli Samba showed a stable performance.

Keywords: rice stability, organic management, conventional management, no-input management, GGE biplot, AMMI, MANOVA

Key findings: Results revealed that Kattuyanam, ASD19, Sennar 20, Navera, Kalanamak, and Pokkali are highly stable genotypes across all management systems. Meanwhile, KR10019 and Mappillai Samba were suitable for OM, KKL(R)-1, Mappillai Samba, CO(R)50, Kattuyanam, and KR10023 performed well in CM. In NM, Mappillai Samba, Kattuyanam, Karuppu Kavuni, and Kitchilli Samba showed a stable performance.