Application of Methods of Mathematical Modelling in Livestocking Agriculture
Development of criteria for early prediction of productive qualities of animals is one of the promising areas in the breeding work of livestock. Mathematical modelling allows more accurate study of processes, thereby reducing the amount of experiments and reducing their complexity. The paper deals with the concept of a mathematical model, types of mathematical models. The least squares method was used as the apparatus of mathematical support of the research to predict the meat qualities of bulls. It is indicated in the work that the increase in meat productivity of cattle in animal husbandry can be provided only with targeted breeding work. Analytical forms to support this process are linear and non-linear mathematical models. A step-by-step multivariate regression analysis was carried out, which resulted in linear and hyperbolic models to determine the mass of the carcass depending on the girth of the chest behind the shoulder blades, half-girth of the back and oblique length of the trunk. Three measurements of articles were experimentally revealed, which significantly affect the mass of the carcass, on the basis of which a complete hyperbolic model was built to predict the mass of the carcass. Application of modern methods of mathematical modelling opens wide opportunities for an assessment and forecasting of level of productivity of all animal husbandry in general.