Assessment of Genetic Variability, Correlation and Path Analysis among Rice (Oryza sativa L.) Landraces Genotypes for Grain Yield Characters under Irrigated

Abstract

The current study's objective was to analyze the genetic variability components, correlations, and path analysis in 24 rice genotypes for 13 quantitative aspects, including Days to 50% Flowering, Days to Maturity, Flag Leaf Length (cm), Flag Leaf Width (cm), Plant Height (cm), Number of Total Tillers, Panicle Length (cm), Number of Spikelets per Panicle, Number of Panicles per Hill, Test Weight (g), Biological Yield per Hill (g), Harvest Index (percent), & Grain Yield per Hill (g) in Randomized Block Design with three replications in Kharif season of 2022 in experimentation field, Department of Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Sciences, Uttar Pradesh. Analysis of Variance revealed that high significant differences among the genotypes of all traits. Genotypes SHUATS DHAN-6, SHUATS DHAN-2, SHUATS DHAN-3 and MTU 1281 depicted highest Grain Yield per Plant. All the characters had expressed high estimates of heritability. Grain Yield per Hill had the highest Heritability followed by Number of Spikelets per Panicle, Number of Total Tillers, Panicle Length, Plant Height and Flag Leaf Width. According to research on GCV and PCV, these qualities are highly variable and that the environment plays a part in how they manifest. The yield and yield-attributing characteristics were shown to be positively and significantly correlated at both the genotypic and phenotypic levels, with grain yield per plant per plant. In Phenotypic and Genotypic Path Analysis, a thorough examination of diagonal values revealed a favorable direct effect on Grain Yield.