Mathematical modeling of microclimate indicator influence on the intensification of agricultural production on the example of broiler farming

The article deals with the regression mathematical models that describe the influence of mechanical and automatic microclimate control systems on the growth and development of Arbor Acres cross broiler chickens in Sayansky Broiler agro-industrial complex with outdoor maintenance. The paper regards the influence of such parameters as microclimate, temperature, humidity and illumination. To test the statistical hypothesis of homogeneity of the two considered samples, the Cramer-Welch and Wilcoxon tests are employed. Chou's test is presented concerning the possibility of constructing two different mathematical models of the same type that illustrate the patterns of the modeled indicators development. Statistical estimates of the significance of the constructed models and the factors included in the models are calculated. An interpretation of the results of regression analysis in relation to the subject area under study is given. In addition, a graphical visualization of the analysis of the initial and output data of the constructed models was performed. The ranking of factors is carried out according to the degree of their impact on the resulting indicator using elasticity coefficients and the shares of their influence. The main production indicators are calculated based on the results of livestock rearing: average daily gain, absolute gain, relative growth rate, safety. The article calculates the economic effect for one full cycle of farming broiler chickens.

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