Red Paper
NAAS Journal

Printed Journal  |  Indexed Journal  |  Refereed Journal  |  Peer Reviewed Journal

International Journal of Research in Agronomy
Peer Reviewed Journal

Assessment of genetic variability for yield and its component traits in soybean [Glycine max (L.) Merrill

Vol. 8, Issue 10, Part E (2025)
Author(s)
JR Rakhonde, DH Sarang, HV Kalpande, DK Zate, KS Ghule and KV Sapkal
Abstract
The present study was undertaken to assess genetic variability parameters in a set of 50 soybean genotypes along with four standard checks, namely JS 20-94, JS 20-98, JS 22-12, and JS 335. The experiment was conducted during Kharif 2024 at the experimental farm of the All India Coordinated Research Project on Soybean, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (M.S.), following a Randomized Block Design (RBD) with two replications. Data were collected on ten characters, and estimates were made for variability parameters such as range, mean, genotypic and phenotypic coefficients of variation (GCV and PCV), heritability, genetic advance, and genetic advance expressed as a percentage of mean.
Results revealed that number of pods per plant recorded the highest genotypic and phenotypic variance, followed by plant height and days to 50% flowering. Seed yield per plant exhibited the greatest GCV and PCV, with number of pods per plant, number of branches per plant, and 100-seed weight showing the next highest values. Heritability estimates were maximum for days to 50% flowering, followed by days to maturity, seed yield per plant, number of pods per plant, plant height, 100-seed weight, number of nodes per plant, number of branches per plant, and number of pod clusters per plant. High genetic advance as a percentage of mean was recorded for seed yield per plant, followed by number of pods per plant, 100-seed weight, number of branches per plant, plant height, number of nodes per plant, number of pod clusters per plant, and days to 50% flowering.
Pages : 337-341 | 91 Views | 39 Downloads
How to cite this article:
JR Rakhonde, DH Sarang, HV Kalpande, DK Zate, KS Ghule, KV Sapkal. Assessment of genetic variability for yield and its component traits in soybean [Glycine max (L.) Merrill. Int J Res Agron 2025;8(10):337-341. DOI: 10.33545/2618060X.2025.v8.i10e.3995
Related Links
Related Journal Subscription
Important Links
International Journal of Research in Agronomy

International Journal of Research in Agronomy

Copyright © 2025. All Rights Reserved.
International Journal of Research in Agronomy