Loading...

Crop Research

Multivariate analysis to elucidate yield components and dry root rot disease response in F2 populations of chickpea (Cicer arietinum L.)


DOI: 10.31830/2454-1761.2025.CR-1072    | Article Id: CR-1072 | Page : 371-380
Citation :- Multivariate analysis to elucidate yield components and dry root rot disease response in F2 populations of chickpea (Cicer arietinum L.). Crop Res. 60: 371-380
NEETU SONI AND PAWAN L. KULWAL neetusoni639@gmail.com
Address : Department of Agricultural Botany, Mahatma Phule Krishi Vidyapeeth, Rahuri-413 722, Maharashtra, India
Submitted Date : 18-09-2025
Accepted Date : 25-10-2025
Online Published:

Abstract

Yield is an important and complex quantitative trait that is profoundly affected by environmental factors. Currently, dry root rot disease causes more yield reduction in chickpea. Exploiting an association between yield and its associated traits is required to increase the selection efficiency. Therefore, this study approaches correlation analysis, principal components and path coefficient analysis to evaluate variation in F2 segregating populations. The present investigation was conducted at the Department of Agricultural Botany Farm, Post Graduate Institute, Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharashtra, from October 2017 to November 2022. The resistant (JSC-37) and susceptible (Vijay and Digvijay) parents to dry root rot were used to develop F2 mapping population, which comprised 150 and 38 individuals and later F3 population was screened for dry root rot disease. Correlation analysis revealed significant positive correlation of all characters with seed yield per plant in F2 population of both crosses except days to flowering. Negative association of disease incidence with seed yield was shown in both crosses. Path coefficient study revealed a high direct effect of the number of pods per plant on seed yield per plant in both crosses. Particularly, the number of secondary branches per plant, the number of pods per plant and biological yield were simultaneously shown to be the primary cause of variations in Principal Component Analysis (PCA) analysis in both crosses. As a result, these traits could be regarded as the most suitable choice factors in breeding programs for developing high yielding varieties.
 

Keywords

Chickpea correlation dry root rot seed yield

References

Al-Jibouri, H. A., Miller, P. A. and Robinson, H. F. (1958). Genotypic and environmental variances in upland cotton of inter-specific origin. Agron. J. 50: 633-37.
Arriagada, O., Cacciuttolo, F., Cabeza, R. A., Carrasco, B. and Schwember, A. R. (2022). A comprehensive review on chickpea (Cicer arietinum L.) breeding for abiotic stress tolerance and climate change resilience. Int. J. Mol. Sci. 23: 6794. doi:10.3390/ijms23126794.
Chandra, G., Trivedi, A., Dhyani, K. and Gupta, S. (2024). Evaluating chickpea varietal performance under different levels of phosphorus application. Crop Res. 59: 209-14.
Haware, M. P. (1990). Fusarium wilt and other important diseases of chickpea in the Mediterranean area. In : Saxena M.C. (ed.), Cubero J.I. (ed.), Wery J. (ed.). Present status and future prospects of chickpea crop production and improvement in the Mediterranean countries. Zaragoza: CIHEAM. pp: 61-64.
Janghel, D. K., Kumar, K., Verma, S. S. and Chhabra, A. K. (2020). Genetic relationships and principal component analysis in elite chickpea (Cicer arietinum L.) genotypes for seed yield and its component traits. Legume Res. 43: 770–77
Jolliffe, I. T. (1986). Principal component analysis and factor analysis. In: principal component analysis, Springer, New York. pp: 115-28.
Kandwal, N., Panwar, R. K., Verma, S. K., Arora, A., Chauhan, A. and Reddy, B. S. (2022). Assessment of genetic variability, correlation and path analysis for yield and its component traits in chickpea (Cicer arietinum L.). J. Pharm. Innov. 11: 1231-35.
Kapadiya, I. B. and Jagadeesha, K. (2024). Evaluation of different biocontrol agents against collar rot (Sclerotium rolsii Sacc.) of chickpea under pot condition. Farm. Manage. 9: 48-51.
Kumar, A., Kumar, A., Yadav, A. K., Nath, S., Yadav, J. K. and Kumar, D. (2018). Correlation and path coefficient analysis for various quantitative traits in chickpea (Cicer arietinum L.). J. Pharmacogn. Phytochem. 7: 2695-99.
Kumar, H. S., Lavanya, G. R., Goud, B. G., Verma, S. and Sindhuja Yerrabala, S. (2021). Principal component analysis for seed yield and other attributing traits in Chickpea (Cicer arietinum L.). J. Pharm. Innov. 10: 1076-80.
Kumar, A., Singh, A., Arya, M., Kumar, V., Singh, Y. and Chaturvedi, S. (2025). Estimation of genetic diversity using principal component analysis and cluster analysis in chickpea (Cicer arietinum L.) germplasm based on agro-morphological traits. J. Exp. Biol. Agric. Sci. 13: 380–88.
Mahendran, R., Veerabadhiran, P., Robin, S. and Raveendran, M. (2015). Principal component analysis of rice germplasm accessions under high temperature stress. Int. J. Agric. Sci.  5: 355-59.
Muchhala, T. (2018). Studies on dry root rot [Rhizoctonia bataticola (Taub.) Butler] of chickpea. Ph. D. Thesis, College of Agriculture, Indore, Madhya Pradesh, India.
Nath, N., Tarkeswar, S. and Mishra, G. (2022). Analysis of correlation and path coefficient for grain yield and its attributing traits in chickpea (Cicer arietinum L.) under timely sown conditions. BFAIJ. 14: 926-29.
 Ningwal, R., Jain, N., Babbar, A., Kumawat, S., Yadav, R. K. and Asati, R. (2023). Correlation and path coefficient analysis in the promising advance chickpea lines. J. Pharm. Innov. 11: 2124-28.
Pande, S., Desai, S. and Sharma, M. (2010). Impacts of climate change on rainfed crop diseases: current status and future research needs. National symposium on climate change and rainfed agriculture, CRIDA, Hyderabad, India. pp: 55-59.
Paneliya, M. R., Mehta, D. R., Jalu, R. K. and Chetariya, C. P. (2017). Correlation and path coefficient analysis in Desi Chickpea (Cicer arietinum L.). Int. J. Pure App. Biosci. 5: 425-32.
Pravalika, Y., Aggarwal, N., Kumar, R., Tutlani, A., Parveen, S. and Rathore, M. (2024). Genotypic variability, correlation and path coefficient analysis for elite genotypes of chickpea (Cicer arietinum L.). Int. J. Bioresour Stress Manag. 15: 1-10.
Quatadah, M. S., Gaur, S. C., Singh, H. P., Singh, P. N., Singh, K. and Kumar, S. S. (2025). Genetic variability, character association and path coefficient analysis for seed yield and its attributing traits in chickpea (Cicer arietinum L.). Int. J. Adv. Biochem. Res. 9: 875-81.
Rekha, N. S., Srinivasan, S., Gopalakrishnan T. and Rao, V. S.  (2023). Correlation, path and principal component analysis of few agronomical traits in few elite lines of chickpea (Cicer arietinum L.). J. Pharm. Innov.  12: 4499-502.
Reddy, A. T., Gowda, R., Rao, A. M., Ramesh, S. and Saifulla, M. (2016). Resistance source identification for dry root rot disease in chickpea. Adv. life Sci. 5: 9767-70.
Sharma, M., Ghosh, R. and Pande, S. (2015). Dry root rot (Rhizoctonia bataticola (Taub.) Butler): an emerging disease of chickpea–where do we stand. Arch. Phytopathol. 48: 797-812.
Suleimanova, G., Sapakhova, Z., Kalibayev, B., Madenova, A. and Nizamdinova, G. (2023). Molecular screening for Fusarium oxysporum resistance genes in chickpeas. Res. Crop. 24: 416-27.
Thakur, N. R., Toprope, V. N. and Koppuravuri, S. P. (2018). Estimation of genetic variability, correlation and path Analysis for yield and yield contributing traits in chickpea (Cicer arietinum L.).  Int. J. Curr. Microbiol. Appl. 7: 2298-304.
Tripathy S. and Shama, P. (2025). Correlation and path coefficient analysis for yield and component traits among 20 genotypes of rice bean. Plant Arch. 25: 193-99
Wright, S. (1921). Correlation and causation. Part I: Method of path coefficients. J. Agric. Res. 20: 557-85.
Yadav, A. K., Chaubey, S. K., Pyare, R. and Kumar, A. (2020). Correlation and path coefficient analysis of yield and its component in chickpea (Cicer arietinum L.). J. Pharmacogn. Phytochem. 9: 67-70.
Yadav, A., Singh, N., Kant, S., Kumar, A., Singh, P., Kumawat, Y. and Kumar, K. P. (2025). Correlation and path coefficient analysis for yield and it’s components traits in chickpea (Cicer arietinum L.). Int. J. Adv. Biochem. Res. 9: 1762-64.

Global Footprints