GGE BI-PLOT ANALYSIS OF HIGH-ZINC RICE (ORYZA SATIVA L.) GENOTYPES UNDER MULTIPLE ENVIRONMENTS FOR GRAIN YIELD

Abstract

Bi-plot analysis has been a popular method for determining the magnitude of the genotype-environment (G × E) interaction in plant breeding and agricultural research. The 21 high-zinc rice genotypes for grain yield per plant (GYP) and grain zinc content (GZC) were evaluated in a complete randomized block design with three replications in Uttar Pradesh, India to identify the winning genotype through multi environmental trials (MET) using GGE bi-plot analysis. The first principal component (PC1) and the second principal component (PC2) each showed 61.56% and 17.25% of the variance, respectively, and together they explained 78.81% of the overall variance. Using GGE bi-plot polygon views, GYP and GZC might each have two feasible mega-environments. In E1 and E2, the genetic information for GYP and GZC was highly correlated and comparable. The genotype V13 (BRRI dhan 72) had the greatest mean GYP and was the most stable, while V8 (IR 96248-16-3-3-2-B) was highly unstable and V17 (IR 64) yielded the least. The greatest GZC and most stable genotypes were found in V1 (IR 95044:8-B-5-22-19-GBS), whereas the highest GZC and most unstable genotypes were found in V19 (Sambamahsuri). For GYP, V20 (Swarna) won only in E3, while V13 (BRRI dhan 72) won in the other environments; for GZC, V3 (IR 99704-24-2-1) won only in E3, while V1 (IR 95044:8-B-5-22-19-GBS) won in the other environments. As a conclusion, in future breeding programmes, the V13 (BRRI dhan 72) for GYP and V1 (IR 95044:8-B-5-22-19-GBS) for GZC might be suggested for cultivar selection and zinc bio-fortification.