Article

Retrieved from Volume 23, No. 1, 2019

Pages 77 -83

Pasechko, D.-V., Kushnerenko, V., & Dashevska, L. (2019). Use of correlation, regression and logistic models for the losses estimation of dairy industry from the heat stress. Ukrainian Black Sea Region Agrarian Science, 23(1), 77-83. DOI: 10.31521/2313-092X/2019-1(101)-11

Use of correlation, regression and logistic models for the losses estimation of dairy industry from the heat stress

Ditrykh-Volodymyr Pasechko Vladyslav Kushnerenko Larysa Dashevska

The article presents results of estimation of productive and reproductive losses of cows during heat stress conditions, using paired linear correlation, regression and logistic modeling. It is established, that models have high level of statistical error, because they don’t consider other factors, which have an influence on investigated indicators. Nonetheless, this method can be used during research of heat stress in dairy industry for a rough estimation of economic losses and for justification of stress preventive methods. 

heat stress, modeling, dairy industry, milk yield, insemination.
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