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Research Article Open access CC BY 4.0

Correlation and Multiple Regression Studies of Yield and Yield Contributing Characters in Cauliflower (Brassica oleracea var. Botrytis L.)

K. P. Singh, B. Patel, Rakesh Kumar, R. K. Roy, S. K. Singh

Current Journal of Applied Science and Technology · pp. 1–5 · Published 5 Mar 2019

10.9734/cjast/2019/v33i330068

Abstract

The study on Cauliflower cv. ‘Pusa Dipali’ was carried out to find out the correlation and multiple regression coefficients studies of yield and yield contributing characters. Yield was found to be highly and significantly positively correlated with all the ancillary characters viz, curd depth (0.9180), curd diameter (0.9050), weight of curd (0.8990, plant height (0.8898), weight of plant (0.8768) and plant girth (0.6880). The multiple regression coefficients were found to be non significant due to multi collinearly between the characters. The step wise regression analysis showed that curd depth has highest contribution towards field followed by curd weight, curd diameter and plant height while the lowest contribution was due to plant girth and weight of plant.

Correlation regression coefficients cauliflower

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