International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 6

Correlation coefficient and path coefficient among yield and yield contributing traits in vegetable pea (Pisum sativum L. Var. Hortense)


Author(s): Priyanka Rajbhar, DP Mishra and Ramesh Rajbhar

Abstract:
Forty genotypes of pea were undertaken to determine relationships among yield and some yield components using direct and indirect selection parameters (Correlation and path coefficient analysis). The present investigation was carried out at the Main Experiment Station, Department of Vegetable Science, A.N. D. University of Agriculture and Technology, Kumarganj, Ayodhya during the Rabi, season of 2014-2015. Correlation studies revealed that pod yield per plant was positively and significantly correlated with pods per plant, number of seeds per 100 g, number of pods per 100 g, days to 50% flowering, 100 seed weight, number of seeds per pod, node at first pod appears, primary branches per plant, plant height, number of pods per plant, shelling percentage and total soluble solids. The path coefficient analysis the higher magnitude of positive direct effect on pod yield was exerted by number of pods per plant, number of seeds per 100 g, node at first flower appears and 100 seeds weight.


Pages: 584-590 | Views: 98 | Downloads: 3

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How to cite this article:
Priyanka Rajbhar, DP Mishra, Ramesh Rajbhar. Correlation coefficient and path coefficient among yield and yield contributing traits in vegetable pea (Pisum sativum L. Var. Hortense). Int J Stat Appl Math 2023;8(6S):584-590.

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