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Vol. 11, Issue 1 (2022)

Genetic variability, correlation and path coefficient analysis of yield contributing characters in lentil

Author(s):
Mayuri V Pawar, Muralidhar S Kamble, Bhagyashri R Bhosale and Sampada S Bhopale
Abstract:
The present investigation was undertaken at PG farm, RCSM College of Agriculture, Kolhapur with the objective, to estimate the genetic variability, correlation and path analysis for nine characters of thirty genotypes of lentil (including three checks) with three replications. Analysis of variance showed significant differences among genotypes for all the characters. Phenotypic coefficient of variation was greater than genotypic coefficient of variation for all the characters showing higher influence of environment on characters. High heritability coupled with high genetic advance as per cent of mean indicated preponderance of additive gene action in the inheritance of characters like seed yield per plant (g), 100 seed weight (g), number of secondary branches per plant and number of pods per plant. The seed yield per plant showed highly significant and positive correlation with number of primary branches per plant (0.8647), followed by number of seeds per pod (0.8473), number of pods per plant (0.6664) and plant height (0.4127). Path coefficient analysis revealed that among the different yield contributing characters number of primary branches per plant (0.9397), plant hight (0.4048) and number of seeds per pod (0.2732) influenced seed yield per plant directly. Thus, selection for yield in lentil through theses characters would be effective.
Pages: 180-183  |  360 Views  131 Downloads


The Pharma Innovation Journal
How to cite this article:
Mayuri V Pawar, Muralidhar S Kamble, Bhagyashri R Bhosale, Sampada S Bhopale. Genetic variability, correlation and path coefficient analysis of yield contributing characters in lentil. Pharma Innovation 2022;11(1):180-183.

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