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EMERGENT LIFE SCIENCES RESEARCH - Vol 9, Issue 2, Published on 31, December 2023

Pages: 168-176
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An analytical approach integrating GGE-Biplot and AMMI techniques for assessing genotype-environment interactions and yield stability in rice (Oryza sativa L.) genotypes

Author: Manoj Kumar S. C., S. K. Singh, Amrutlal Khaire, Mounika Korada, Prasanta Kumar Majhi, D. K. Singh

Category: Research Article


A study was conducted during the Kharif 2020 season in Eastern Uttar Pradesh, India, to investigate the interaction between genotype and environment (GxE) for 55 rice genotypes grown at three different locations. The analysis employed GGE Biplot and AMMI tools to evaluate and graphically visualize these locations for grain yield response to their interrelationships, discrimination ability, and representativeness. AMMI ANOVA revealed significant genotype-environment interactions. A lower value of ASV led to the most stable genotypes HL19WS-33B-369, HL19WS-33A-16, and HL19WS-33B-128, which produced the higher grain yield of all genotypes. The combined use of AMMI and GGE biplot approaches helped identify stable genotypes viz., BRRI Dhan 64, HL19WS-33B-171, HL19WS-33B-317, Samba Mahsuri, and HL19WS-33B-77, which can be proposed in the national testing programs to release new varieties. GGE biplots analysis depicted that all three locations fall under one mega environment. The genotypes, HL19WS-33B-359 and HL19WS-33A-51 exhibited the best yields in the mega-environment. In terms of genotype selection, E1 and E3 demonstrated effective genotypes with general adaptability and specific adaptability for yield, respectively. The mean v/s stability view shows genotype HL19WS-33B-359 to be ideal and most desirable among all other screened genotypes.

Keywords: AMMI, GGE biplot, G x E interaction, rice, stability