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

Singh, K. P. and Patel, B. and Kumar, Rakesh and Roy, R. K. and Singh, S. K. (2019) Correlation and Multiple Regression Studies of Yield and Yield Contributing Characters in Cauliflower (Brassica oleracea var. Botrytis L.). Current Journal of Applied Science and Technology, 33 (3). pp. 1-5. ISSN 2457-1024

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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.

Item Type: Article
Subjects: Apsci Archives > Multidisciplinary
Depositing User: Unnamed user with email support@apsciarchives.com
Date Deposited: 13 Apr 2023 05:47
Last Modified: 22 Mar 2024 04:19
URI: http://eprints.go2submission.com/id/eprint/635

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