Abstract

The present investigation was carried out to assess the genetic variability parameters, metroglyph analysis in 31 rice genotypes for 13 quantitative traits during Kharif,2022 season at Field experimentation center, Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Sciences, Uttar Pradesh using Randomized Block Design with three replications. Analysis of variance indicated high significant differences among the genotypes for all the traits. Considerable variability existed in the genotypes for all the characters studied. These were the genotypes with high mean values in desirable direction i.e., From the present investigation it is concluded that among 31 genotypes of rice, VASUMATHI showed Early flowering (80 days), and had characters like Early maturity (113days), DRR DHAN-38 showed high Plant height (155.8 cm), PUSA BASMATHI-1 showed high Panicle length (28.8 cm), NAGARJUNA is showing both high Biomass (69.3 g), and Grain Yield per Plant (39.7 g). Highest GCV were depicted for Grain Yield per Plant, Biological Yield per hill, Number of Spikelet’s per panicle, Number of Panicles per hill, Number of Tillers per Hill, and Flag Leaf Width. The highest Heritability was observed for Number of Tillers per hill, Number of Spikelet’s per Panicle, Grain yield per plant, Number of Panicles per hill, Biological Yield per Hill and Flag Leaf Width and Highest genetic advance as a percentage of mean except Plant height, Grain yield per plant, Biological yield per hill, Number of spikelet’s per panicle, Number of panicles per hill, Number of total tillers, Flag leaf width and harvest index. A scatter diagram was created for 31 genotypes that formed five complexes with 13,9,4,4 and 1 genotype in each complex. The genotypes Nagarjuna, Jarva and NDR-359, which have a high index score and fall into various clusters, can be utilized as parents in hybridization to get the most variety in character combinations. This character should be given due consideration during selection for crop improvement.

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