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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 14, Issue:11, November, 2025

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2025.14(11): 236-243
DOI: https://doi.org/10.20546/ijcmas.2025.1411.023


Dissecting Trait Interrelationships in Rice (Oryza sativa L.) through Correlation and Path Coefficient Analysis under Sodic Soil Conditions
Mohammad Nisar1*, Kunvar Gyanendra Kumar2 and Rudra Pratap Singh3
1Department of Genetics and Plant Breeding, Bhagwant University Ajmer (Rajasthan), India 2Department of Biotechnology, Bhagwant University Ajmer (Rajasthan), India 3Department of Entomology, Bhagwant University Ajmer (Rajasthan), India
*Corresponding author
Abstract:

Soil sodicity presents a major constraint to rice (Oryza sativa L.) cultivation, severely limiting growth and yield. This study aimed to investigate the interrelationships among key agronomic traits in rice under sodic soil conditions through correlation and path coefficient analysis. A total of 69 genotypes, including 52 F? hybrids and 17 parental lines developed through a Line × Tester mating design, were evaluated during the Kharif 2024 season at the Genetics and Plant Breeding Research Farm, NDUAT, Ayodhya, India. Eleven quantitative traits were measured, including grain yield, panicle traits, plant height, biological yield, and harvest index. Significant positive genotypic and phenotypic correlations were observed between grain yield per plant and traits such as biological yield (r = 0.977**), harvest index, panicle bearing tillers, and spikelet fertility. Path coefficient analysis revealed that biological yield had the highest positive direct effect on grain yield (1.48497), followed by harvest index (0.59499), emphasizing their importance in yield improvement. Conversely, plant height and panicle length had weak or negligible direct effects. These findings highlight the potential of integrating correlation and path analyses for identifying high-yielding, salt-tolerant genotypes, and provide valuable insights for breeding rice cultivars adapted to sodic soil environments.


Keywords: Rice, sodic soil, grain yield, correlation analysis, path coefficient analysis


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How to cite this article:

Mohammad Nisar, Kunvar Gyanendra Kumar and Rudra Pratap Singh. 2025. Dissecting Trait Interrelationships in Rice (Oryza sativa L.) through Correlation and Path Coefficient Analysis under Sodic Soil Conditions.Int.J.Curr.Microbiol.App.Sci. 14(11): 236-243. doi: https://doi.org/10.20546/ijcmas.2025.1411.023
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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