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Vol. 12, Issue 7 (2023)

Genetic variability and correlation studies for yield and yield attributing traits in chickpea (Cicer arietinum L.)

Author(s):
Aswini Nunavath, Prakash Gangashetty, Srinivasan Samineni, Himabindu Kudapa, Aruna Kumari and CV Sameer Kumar
Abstract:
This study aimed to assess 248 recombinant inbred lines of chickpea in order to examine the extent of variability, heritability, genetic advance, and the relationship between various yield components and their direct and indirect effects on chickpea yield. Present study focused on eleven agro-morphological traits, including four vegetative traits (plant height, stem growth habit, number of primary branches, and number of secondary branches), one flowering trait (days to 50% flowering), six yield-related traits (days to maturity, number of pods per plant, number of seeds per pod, harvest index, 100 seed weight, and seed yield per plant). The estimation of PCV revealed higher values compared to GCV estimates for various traits including days to maturity, number of secondary branches per plant, number of pods per plant, number of seeds per plant, 100 seed weight, seed yield per plant, and harvest index at both locations. On the other hand, days to 50% flowering and plant height displayed considerable heritability and significant genetic progress, indicating that these attributes are influenced by additive gene effects and can be enhanced through direct phenotypic selection. Research findings indicated a strong and meaningful positive relationship between plant height, the number of pods per plant, the number of seeds per plant, seed yield per plant and the100 seed weight. Opting for a greater number of pods and seeds per plant proves to be advantageous in maximizing the genetic advancement for seed yield.
Pages: 1830-1833  |  289 Views  225 Downloads


The Pharma Innovation Journal
How to cite this article:
Aswini Nunavath, Prakash Gangashetty, Srinivasan Samineni, Himabindu Kudapa, Aruna Kumari, CV Sameer Kumar. Genetic variability and correlation studies for yield and yield attributing traits in chickpea (Cicer arietinum L.). Pharma Innovation 2023;12(7):1830-1833.

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