Khandoker Khalid Ahmed¹, Mir Mehedi Hasan^1*, Muhammad Habibur Rahman Mukul¹, Shamsunnaher¹, Afruz Zahan¹, Md. Niaz Morshed¹, AAMM Mustakim²

¹Adaptive Research Division (ARD), Bangladesh Rice Research Institute (BRRI), Gazipur-1701, Bangladesh
²Plant Physiology Division (PPD), Bangladesh Agricultural Research Institute (BARI), Gazipur-1701, Bangladesh

This study assessed the performance and stability of two advanced rice genotypes, BR9930-2-3-2-2 (V1) and BR9930-2-3-3-1 (V2), compared to three standard varieties- BRRI dhan50 (V3), BRRI dhan63 (V4), and BRRI dhan81 (V5)-across ten agro-ecological zones during the 2021-22 Boro season in Bangladesh. A randomized complete block design (RCBD) was employed with three replications per site to evaluate grain yield, agronomic traits, and genotype-environment interactions (GEI) using AMMI and GGE biplot models. The study revealed significant GEI effects on grain yield, highlighting environmental variability and genotype-specific adaptability. V1 achieved the highest mean yield (6.57 t/ha) with superior performance in several environments, while V2 displayed consistent stability across diverse agro-ecological zones with a mean yield of 6.49 t/ha. The GGE biplot identified V1 as suitable for targeted environments and V2 as the most stable genotype, making it ideal for broader cultivation. These findings underscore the potential of the advanced genotypes for sustainable rice production, particularly in meeting the demand for high-yielding, premium-quality rice in Bangladesh. Further multilocation trials are recommended to validate the stability and adaptability of these genotypes for potential variety release.

Keywords: Rice, premium quality, AMMI, GGE biplot, genotype-environment interaction, grain yield, stability.

Corresponding author.
E-mail address: kkahmedbrri@gmail.com (Khandoker Khalid Ahmed)

How to cite this article: Ahmed KK, Hasan MM, Mukul MHR, Shamsunnaher, Zahan A, Morshed MN and Mustakim AAMM (2025). Performance and stability of premium quality rice varieties in multi-environment trials using AMMI and GGE biplot during the Boro season in Bangladesh. International Journal of Natural and Social Sciences, 12(1): 01-12. DOI: 10.5281/zenodo.14728939.