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Vol. 11, Issue 12 (2022)

Path coefficient analysis for important yield components in black gram [Vigna mungo (L.) Hepper]

Author(s):
OD Khanvilkar, UB Pethe, MG Plashetkar, SS More and JJ Kadam
Abstract:
An experiment was carried out during the rabi season of 2021-22 at Research and Education Farm, Department of Agril. Botany, College of Agriculture, Dapoli, Dist. Ratnagiri with Twenty four genotypes of black gram raised in randomised block design with two replications for evaluating the direct and indirect effects for fifteen characters of black gram viz., days to initiation of flowering, days to 50 percent flowering, days to maturity, plant height (cm), number of primary branches per plant, number of clusters per plant, number of pods per cluster, number of pods per plant, number of grains per pod, pod length (cm), hundred seed weight (g), grain yield per plant (g), dry matter per plant (g), harvest index (%) and protein content (%). The results of path analysis revealed that that positive direct effect on seed yield was exhibited by hundred seed weight, harvest index, dry matter per plant, days to fifty percent flowering, number of primary branches per plant, number of clusters per plant, number of pods per cluster, number of pods per plant, number of grains per pod and pod length indicating importance of these characters and can be strategically used to improve the yield of black gram. While the characters viz., days to initiation of flowering, days to maturity, plant height and protein content revealed negative direct effect of given magnitudes towards seed yield per plant.
Pages: 6064-6068  |  211 Views  79 Downloads


The Pharma Innovation Journal
How to cite this article:
OD Khanvilkar, UB Pethe, MG Plashetkar, SS More, JJ Kadam. Path coefficient analysis for important yield components in black gram [Vigna mungo (L.) Hepper]. Pharma Innovation 2022;11(12):6064-6068.

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