Genetic Variability and Character Association Analysis for Seed Yield and its Attributes in Wheat
Introduction: The experiment was administered in Research Farm, Rani Lakshmi Bai Central Agricultural University, Jhansi, during Rabi season 2019-2020 utilizing augmented block design in five blocks. The objective was to evaluate the genetic instability and character partnership analysis of eighty-two grain genotypes.Methodology: Eighty-two genotypes including three checks (HI1544, DBW110, and GW322) observed allure various all-inclusive traits for historical variation, heritability, historical advance, and character association. The remarks were recorded on fifteen agro-semantic and physiological personalities viz; days to 50 portion heading, days to maturity, sunshade temperature (oC), chlorophyll content, flag leaf breadth (cm), flag leaf length (cm), tillers per rhythm, peduncle length (cm), plant climax (cm), spike distance (cm), awn distance (cm), 1000-grain burden (g), grain yield per plant (g), biological yield per plant (g) and harvest index (%). Statistical study was carried out by R Programming and SAS form 9.2 statistical operating system.Results: The genotypes IC443619, IC6165734, and IC624496 were having former days to maturity than the best check DBW110. HD3086, K0307, PBW343, RAJ3, 765, and MACS6478 have happened found hopeful for grain yield per plant. The best Phenotypic coefficient of difference (PCV) and Genotypic coefficient of variation (GCV) were written for tillers per plant followed by point length, stalk of plant length, flag leaf time, flag leaf width, plant height, and pierce length. Heritability in broad sense expansive ranged from 26.3 portion for canopy temperature to 95.63 allotment for grain yield per plant. The piece yield per plant showed a beneficial and significant equating with biological yield per plant, harvest index, and tillers per beat, whereas it demonstrated a negative significant partnership with point length.Conclusion: The relationship betwixt grain yield per plant and organic yield per plant, harvest index, and tillers per metre was certain and significant, displaying that an increase in these component characteristics will also boost financial grain yield per plant.
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