Dissecting Key Yield Components in Soybean (Glycine max L.) Genotypes Through Multivariate Analysis

Ramin Munir Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad , Tayyaba Sajid Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad , Mehwish Kanwal State Key Laboratory of Green Pesticide, Centre for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China , Muhammad Qasim Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad , ZulqarNain Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad , Muhammad Rizwan Shafiq Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad , Sidra Iqbal * Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad
* Corresponding author: dr.sidraiqbal@uaf.edu.pk

DOI:

https://doi.org/10.66432/29mqph86

Keywords:

Soybean, genetic variation, Correlation Analysis, Path coefficient Analysis

Abstract

Soybean (Glycine max L. Merrill) is a highly valued leguminous oilseed crops and can contribute to meet the Pakistan’s edible oil demand and reduce import bill, However, limited availability of high yielding and environmental adapted soybean genotypes is a major hinderance for its adoption by local farmers. The current study was executed to determine variability and adaptability patterns of seventy exotic soybean accessions under agro-climatic conditions of Okara, Pakistan. An augmented block design with two commercial checks (NARC-21 and Faisal Soybean) was used to study ten yield related characteristics. Result exhibited a substantial amount of diversity in the studied germplasm. Genotypic correlation and path coefficient analysis revealed that seed per pod, pods per plant, pod length, pod width and hundred-seed weight were significant contributors to seed yield. Heritability and genetic advance estimates depicted the predominance of additive gene action in pods per plant, plant height and the hundred-weight of the seed. The genotypes Toano, Glenwood, Delsoy 4500, Lawrence and DSR-262 were identified as promising parental lines for use in future crop improvement programs.

Author Biographies

  • Ramin Munir, Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad

    Fresh graduate from department of plant breeding University of Agriculture Faisalabad, Constituent College Depalpur, Okara. 

  • Tayyaba Sajid, Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad

    A fresh graduate from Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Constituent College Depalpur, Okara.

     

  • ZulqarNain, Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad

    Student of master's Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Constituent College Depalpur, Okara.

     

     

  • Muhammad Rizwan Shafiq, Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad

    Lecturer Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Constituent College Depalpur, Okara.

     

  • Sidra Iqbal, Department of Plant Breeding, Constituent College Depalpur, Okara, University of Agriculture Faisalabad

    Assistant professor in Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Constituent College Depalpur, Okara. 

     

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Published

2026-05-29

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Original Research

How to Cite

Dissecting Key Yield Components in Soybean (Glycine max L.) Genotypes Through Multivariate Analysis. (2026). Journal of Genetics and Applied Biotechnology, 1(2), e2026025. https://doi.org/10.66432/29mqph86

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