• M.H. Rani Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202

    S.N. Begum Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202

    M.S.R. Khanom Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202

    M.H.S. Rahman Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202

    A.S.M. Hasibuzzaman Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202

    J.N. Shugandha Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202

    S.A. Shammy Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202

    M.W. Akram Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh-2202


Stability and adaptability of a rice genotype is crucial to release it as a variety for commercial cultivation in a wide range of growing conditions. The present study was conducted during 2020-21 to assess the Genotype×Environment (G×E) interaction and to identify the stable rice lines for varietal development. Nine rice genotypes consisting advanced lines and released variety were investigated for stability in grain yield across three environments by Additive Main effects and Multiplicative Interaction (AMMI) and the Genotype Main Effect and Genotype by Environment interaction effects (GGE) analyses. AMMI and GGE analyses revealed significant G×E interactions indicating the variability among the genotypes and environments. As per AMMI1 and AMMI2 biplot models the genotypes BN-P-317 and BN-P-318 were identified as the best performer and suited for the environment Jamalpur. GGE biplot analysis showed that the genotypes BN-P-114, BN-P-115 and BN-P-317 were adapted to the environment Jamalpur, whereas BN-P-318 was more suitable for Nalitabari. According to GGE biplot-genotype view graph, the genotype BN-P-317 was identified as the ideal genotype for grain yield followed by BN-P-318. The GGE biplot- polygon view graph showed that the genotype BN-P-317 performed better in both the environments Jamalpur and Nalitabari. The genotypes BN-P-317 and BN-P-318 could be selected for further evaluation to release as variety.


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