DOI 10.36461/NP.2024.70.2.005
UDC 633.152:631.527

ASSESSMENT OF CORRELATION AND REGRESSION OF ECONOMICALLY USEFUL CHARACTERISTICS OF SWEET CORN
S.A.Guseva, Senior Researcher at the Department of Corn and Leguminous Crops, ROSNIISK Rossorgo; 4, 4th Institutsky Ave., Saratov, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.S.Nosko, Junior Researcher at the Department of Corn and Leguminous Crops, ROSNIISK Rossorgo; 4, 4th Institutsky Ave., Saratov, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The article presents the results of studying the correlation and regression analysis of the elements of the cob structure, plant height and the height of attachment of the cob of sweet corn varieties. Sowing, measurements and accounting were carried out at the experimental field of ROSNIISK Rossorgo in 2021-2023 using generally accepted methods. According to statistical calculations, among the studied characteristics, high variability (V > 20%) over three years of experience was revealed in such characteristics as "the amount of kernels on the cob" and "the height of the attachment of the cob"; low variability (V < 10%) – in "cob kernel content" and "diameter of the cob", the remaining characteristics had an average variability.
Significant high correlation coefficients (r > 70%) were found between the following characteristics: the number of kernels on a cob and the length of the kernel containing part, the diameter of the cob, the number of kernels on the cob; plant height and the height of the attachment of the cob; the length of the cob and the length of the kernel containing part; the number of kernels in a row and the length of the kernel containing part of the cob, as well as the number of kernels in a row. The average variability of one characteristic from variation of another was revealed. It can also be concluded that many economically valuable quantitative characteristics are more or less interconnected with each other and a change in one characteristic entails a change in another.
Keywords: sweet corn, correlation, conjugacy, regression analysis, cob structure elements, feature, number of kernels on the cob.

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