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Vol. 12, Issue 3 (2023)

Assessment of genetic variability, correlation and path coefficient analysis for yield and its attributing traits in chickpea (Cicer arietinum L.)

Author(s):
Rajesh Ningwal, Manoj Kumar Tripathi, Sushma Tiwari, Rakesh Kumar Yadav, Niraj Tripathi, RS Solanki, Ruchi Asati and Mohammad Yasin
Abstract:
Chickpea (Cicer arietinum L.) is a legume crop belonging to the family Leguminosae (Fabaceae). High yield is the main aim of crop breeders involved in crop improvement programmes. A better insight to the association of yield with its component traits can be helpful in improving the chickpea yield. The present study comprised of 57 genotypes grown in Randomized Block Design with two replications during Rabi 2021-22. The genotypes were evaluated to assess the genetic variability, heritability and genetic advance, correlation and direct and indirect effects among yield and yield components. The correlation studies revealed that seed yield per plant was positively and significantly correlated with biological yield, number of secondary branches per plant and number of pods per plant. The path analysis indicated that biological seed yield per plant was observed the maximum positive direct effect on seed yield per plant and thus, may be considered as useful traits for yield improvement of chickpea.
Pages: 4851-4859  |  171 Views  85 Downloads


The Pharma Innovation Journal
How to cite this article:
Rajesh Ningwal, Manoj Kumar Tripathi, Sushma Tiwari, Rakesh Kumar Yadav, Niraj Tripathi, RS Solanki, Ruchi Asati, Mohammad Yasin. Assessment of genetic variability, correlation and path coefficient analysis for yield and its attributing traits in chickpea (Cicer arietinum L.). Pharma Innovation 2023;12(3):4851-4859.

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