Vol. 12, Issue 6 (2023)

Author(s):
Vinay Premi, Devidas Thombare, Hemant Sahu, and Ajit Kumar Mannade

Abstract:
The study aimed to investigate the genotype-environment interaction (GEI) among 22 rice genotypes across three environments (Raipur, Bilaspur, and Bhatapara districts of Chhattisgarh) during the Kharif season of 2019, utilizing GGE bi-plot analysis. The analysis revealed that the major source of variation was the interaction between genotype and management, followed by the environment. The first two principal components (PCs) of the GGE bi-plot accounted for the majority of the observed variation. The AMMI analysis identified specific environments as the most discriminating for different traits. E1 and E2 were found to be the most discriminating environments for yield, while E3 showed high discrimination for zinc content, and E1 exhibited the greatest discrimination for iron content. Additionally, certain genotypes were identified as stable performers for specific traits. G2 and G10 were found to be stable lines for zinc content, while G18 emerged as the most stable line for iron content. The "which-won-where" analysis revealed the presence of three mega-environments (ME) among the test locations for yield. Each ME represented a single environment, with specific genotypes identified as winners. For zinc content, all environments fell within a single ME, and the winning genotype was G2. In the case of iron content, two MEs were identified: one comprising E2 and E3, with G4 and G2 as the winning genotype respectively, and another consisting of E1, with G18 as the winning genotype. These findings provide valuable insights into the performance and stability of genotypes across different environments for yield, zinc content, and iron content. Understanding the specific environments where genotypes perform well and identifying stable genotypes for targeted traits can guide breeding efforts to develop rice varieties with improved performance and desirable micronutrient characteristics.