G × E interaction is major cause of discrepancy in crop yield under different environments. International Rice Research Institute (IRRI) launched their fourth flagship project on Global Rice Array (GRA-IV) to identify climate resilient rice genotypes. Various non-parametric (Nassar and Huehn’s method, Huehn’s method and Thennarasu’s method), parametric (Wricke’secovalence, Francis and Kannenberg’s coefficient of variance and Eberhart and Russell’s method) and multivariate methods- Additive Main Effects and Multiplicative Interactions (AMMI) had been already designed to differentiate genotypes for their behavior under different environmental conditions. Due to differential ranking of genotypes in different models, the Average of Sum of Ranks (ASR) of all measures was used in combination with Yield Stability Index (YSI) in this study, to identify desirable, high yielding and stable rice genotypes. The present investigation consisted of 26 rice genotypes (from ‘Antenna Panel’- Global Rice Arrays-IV). Genotypes of ‘Antenna panel’ were designed to help in characterization and diagnosis of diversity and dynamics of evolving climate through the eye of the crop and thus predict future grain yield for that growing site. This experiment was carried out over three different environments of Northern tarai region (Norman Ernest Borlaug Crop Research Center), Pantnagar, Uttarakhand, India. Pooled analysis of variance (ANOVA) for grain yield over the three different test environments pointed out the existence of significant differences among genotypes, G (44.32 %), environments, E (8.36 %) and interactive G × E effects (47.32 %). The genotypes G 4, G 6, G 23, G 9 and G 21 were identified as most stable genotypes as they had lowest ASR values of 2.3, 2.7, 4.7, 5.6 and 5.9 respectively. The ASR method in combination with YSI revealed that G4 is the most desirable genotype as it was not only stable but also high yielding; such superior genotypes can be utilized in future breeding programs for numerous benefits.