Exploring Variability, Character Association and Path Analysis in Chickpea (Cicer arietinum L.) Accessions in the Northwestern Region of India
Dattesh Tamatam, Manoj Kumar Pandey
International Journal of Plant & Soil Science · pp. 127–134 · Published 19 Mar 2024
10.9734/ijpss/2024/v36i54509Abstract
Assessing genetic variability makes it easier to identify stronger genotypes, allowing to produce high-yielding crops that are climatically resilient and promote efficient crop improvement. The present study aimed to assesses the genetic variability, association study & path analysis of 51 chickpea [Cicer arietinum (L.)] genotypes on 12 characteristics. The experiment utilized Randomized complete block design with three replications conducted in Phagwara, Punjab. The ANOVA recorded significant variance at the 1% level for all traits, indicating considerable variability amongst germplasm. SY expressed comparatively high Genotypic coefficient of variance and heritability with other traits, indicating that it is the most heritable trait and has the highest potential for improvement through selective breeding. Positive correlation with SY was revealed by PH, NPB, NSB, NPP, NFP, TW, BY, HI. Path analysis revealed that NFP had highest positive effect on SY followed by NUFP, HI, BY, NSB, TW, DFF & DM suggesting selection from any of these traits would be beneficial. When selecting traits to improve yield in chickpea through breeding, it is essential to focus on specific characteristics that directly contribute to higher production. This research will help understand yield-influencing factors for resilient chickpea varieties in Punjab environmental conditions.
References (7)
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Cited by 2
Naser Sabaghnia, Mohsen Janmohammadi · Acta Biologica Szegediensis · 2025
Showing 1 of 2 known citations — external sources report more than can currently be individually listed.
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