Delineation of Genetic Diversity in Chickpea Employing Multivariate Techniques

Chickpea (Cicer arietinum L.) is a vital legume crop valued for its nutritional richness and ability to improve soil fertility. Despite its significance, productivity is constrained by a narrow genetic base and susceptibility to multiple stresses. In this study, 69 diverse chickpea genotypes were evaluated during the Rabi 2022-23 at RVSKVV, Gwalior to assess genetic variability, interrelationships among traits and genetic divergence using multivariate analysis for 12 quantitative traits. Significant genotypic differences were observed for all the traits. Yield per plant exhibited the highest GCV (25.20%) and PCV (25.43%) coupled with high heritability (98.10%) and genetic advance (51.42%) indicating strong additive gene effects and potential for improvement via selection. Correlation studies revealed that seed yield was positively associated with harvest index, biological yield and number of primary branches, while negatively corelated with plant height. Furthermore, path coefficient analysis underscored harvest index and biological yield as major direct contributors to seed yield at both genotypic and phenotypic levels, suggesting these as reliable selection criteria. Mahalanobis D² analysis grouped the genotypes into 10 clusters, with maximum inter-cluster distance between clusters VIII and X (24.76), highlighting opportunities for exploiting heterosis through crosses between genetically divergent parents. Traits like harvest index (38.01%) and biological yield (25.55%) contributed most to total divergence. Cluster III exhibited the highest mean seed yield, while cluster X was found superior for harvest index and branching traits. The findings emphasized the existence of considerable genetic variability in the genotypes investigated such as SAGL-152237, SAGL-162376, RVSSG-85, SAGL-152250, RVSSG-75, SAGL-152231 along with genetically variable entries from clusters VII and V, offering valuable insights for utilizing in breeding programmes aimed to develop high-yielding, stress-resilient chickpea cultivar (s) through strategic parent selection and hybridization.

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Journal
Journal of Experimental Agriculture International
Published
2025-09-20
DOI
https://doi.org/10.9734/jeai/2025/v47i93767
Primary Topic
Genetic and Environmental Crop Studies
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article
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article

Delineation of Genetic Diversity in Chickpea Employing Multivariate Techniques

Saurabh Tomar, M. K. Tripathi, Alok Kumar Pandey, Devendra Kumar Payasi et al.
Journal of Experimental Agriculture International
Genetic and Environmental Crop Studies
article

Delineation of Genetic Diversity in Chickpea Employing Multivariate Techniques

Saurabh Tomar, M. K. Tripathi, Alok Kumar Pandey, Devendra Kumar Payasi, Jagendra Singh, Shivakant Singh Rajpoot, Sanjeev Sharma, Riya Mishra
article en

Abstract

Chickpea (Cicer arietinum L.) is a vital legume crop valued for its nutritional richness and ability to improve soil fertility. Despite its significance, productivity is constrained by a narrow genetic base and susceptibility to multiple stresses. In this study, 69 diverse chickpea genotypes were evaluated during the Rabi 2022-23 at RVSKVV, Gwalior to assess genetic variability, interrelationships among traits and genetic divergence using multivariate analysis for 12 quantitative traits. Significant genotypic differences were observed for all the traits. Yield per plant exhibited the highest GCV (25.20%) and PCV (25.43%) coupled with high heritability (98.10%) and genetic advance (51.42%) indicating strong additive gene effects and potential for improvement via selection. Correlation studies revealed that seed yield was positively associated with harvest index, biological yield and number of primary branches, while negatively corelated with plant height. Furthermore, path coefficient analysis underscored harvest index and biological yield as major direct contributors to seed yield at both genotypic and phenotypic levels, suggesting these as reliable selection criteria. Mahalanobis D² analysis grouped the genotypes into 10 clusters, with maximum inter-cluster distance between clusters VIII and X (24.76), highlighting opportunities for exploiting heterosis through crosses between genetically divergent parents. Traits like harvest index (38.01%) and biological yield (25.55%) contributed most to total divergence. Cluster III exhibited the highest mean seed yield, while cluster X was found superior for harvest index and branching traits. The findings emphasized the existence of considerable genetic variability in the genotypes investigated such as SAGL-152237, SAGL-162376, RVSSG-85, SAGL-152250, RVSSG-75, SAGL-152231 along with genetically variable entries from clusters VII and V, offering valuable insights for utilizing in breeding programmes aimed to develop high-yielding, stress-resilient chickpea cultivar (s) through strategic parent selection and hybridization.

Journal of Experimental Agriculture InternationalVol. 47(9)
ITM University (IN), Gajara Raja Medical College (IN)
Openalex Percentile: Top 81%
Genetic and Environmental Crop Studies
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