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Vol. 11, Issue 4 (2022)

Genetic variability, correlation and path analysis in faba bean (Vicia faba) for yield and its attributing traits under semi-arid conditions

Author(s):
Harsh Chaurasia, Rajesh Kumar Arya, Raju Ram Choudhary, Reenu and Amit
Abstract:
The present investigation consisted of 53 genotypes of faba bean that were assessed from various source and raised in randomised block design with three replications in the rabi season of 2019-20 at Research Farm of MAP Crop Section, Department of GPB, CCS HAU, Hisar, Haryana. The results of analysis of variance indicated that the substantial genetic variability were present for seed yield and its contributing traits. It was observed that the estimates of PCV had higher in magnitude than that of respective estimates of GCV, which suggested that the environmental factor were also influencing the expression of the genotypes. The high estimates of heritability were reported for no. of pod clusters per plant and seed protein content. Seed yield had positive and significant correlation with almost all the traits except days to 50% flowering and days to maturity. The results of path analysis revealed biological yield, harvest index, pod yield per plant, no. of pod clusters per plant, 100 seeds weight, no. of seeds per pod, no. of branches per plant, no. of pods per cluster, pod breadth, seed protein content and no. of pods per plant had positive direct effect on seed yield, whereas, plant height, days to 50% flowering, days to maturity, weight per pod and pod length had direct negative effect on seed yield. The genotypes namely EC-32905, EC-243036, EC-591784, HB-03, HB-19, HB-61 and Vikrant are selected on the basis of their mean performance for different characters. These genotypes are important for including in crossing programme to further exploit genetic variability among populations, to affect selection of elite superior lines for hybridization programme and/or elite populations for composite varieties.
Pages: 530-537  |  429 Views  243 Downloads


The Pharma Innovation Journal
How to cite this article:
Harsh Chaurasia, Rajesh Kumar Arya, Raju Ram Choudhary, Reenu, Amit. Genetic variability, correlation and path analysis in faba bean (Vicia faba) for yield and its attributing traits under semi-arid conditions. Pharma Innovation 2022;11(4):530-537.

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