Genetic Variability Analysis for Agro-morphological and Seed Yield Component traits of Soybean (Glycine max (L.) Merrill) Genotypes under Mid Hill Zone of Himachal Pradesh
Ronika Thakur, Vedna Kumari, Anjali Pal, Poonam Rana
International Journal of Environment and Climate Change · pp. 1559–1567 · Published 16 Aug 2022
10.9734/ijecc/2022/v12i1131139Abstract
Aim, Design and Methodology: A research with 21 soybean genotypes including three checks was carried out in kharif 2021 at Research Farm of Genetics and Plant Breeding, CSK HPKV Palampur to estimate the genetic variation, heritability and genetic advance for 13 agro-morphological & seed yield component traits that can be used as selection criteria in breeding programmes. RBD design was used to set up the experiment with a plot size of 3 × 1.35=4.05 m2 and replicated three times. Results and Conclusion: The results of the analysis of variance revealed that the genotypes varied considerably for days to 50 percent flowering, days to 75 percent maturity, plant height (cm), number of nodes per plant, inter-nodal length (cm), number of branches per plant, number of pods per plant, pod length (cm), number of seeds per pod, seed yield per plant (g), 100-seed weight (g), biological yield per plant (g) and harvest index (%) showing the genetic divergence of the planting materials from one another. According to the estimates of genetic variability, the phenotypic coefficient of variation for all the traits were greater than the genotypic coefficient of variation explaining the important role played by environmental factors in the manifestation of the traits. Higher values of PCV coupled with moderate GCV values were detected for harvest index (27.93%, 11.84%) indicating the presence of sufficient genetic variation for selection in such traits. High heritability estimates along with high genetic advance (as percent of mean) were recorded for plant height and 100-seed weight which could be ascribed to predominance of additive gene action and high selective index and therefore, selection pressure could be applied profitably to such traits for genetic modification in soybean.
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