Estimation of Correlation and Path Coefficient Analysis for Quantitative Traits in Chickpea (Cicer arietinum L.): An Experimental Study
Srikhakolanu M. L. S. Gayathri, Gaibriyal M. Lal, G. R. Lavanya, Maddula Sudarshan Reddy, Shika Udayasri
International Journal of Environment and Climate Change · pp. 2185–2193 · Published 8 Sep 2022
10.9734/ijecc/2022/v12i1131211Abstract
The Field Experimentation Centre conducted the current experiment using 22 genotypes of chickpea. Sam Higginbottom University of Agriculture, Technology & Sciences, Prayagraj Department of Genetics and Plant Breeding during Rabi 2021–2022 in Randomized block design with three replications. 13 quantitative variables were studied using the data, including analysis of variance, variability assessment, heritability, genetic advance, correlation coefficient analysis, and path coefficient for traits related to yield and yield components. According to the findings of the analysis, there is enough variety among the chickpea germplasm included in the study for substantial deviations to be found for all the traits. For the character number of primary branches per plant, harvest index, and GCV, high estimations of both. Number of major branches, seeds per plant, and harvest index all showed high heritability’s along with genetic progress. At both genotypic and phenotypic levels, the characteristics harvest index and number of branches per plant demonstrated a positive significant correlation with seed yield per plant. The traits biological yield, harvest index, days to maturity, number of secondary branches, number of pods per plant, number of seeds per pod, and number of secondary branches all had a positive direct impact on seed production per plant.
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