The use of the generalized quality indicator method for evaluating small cattle

The introduction of mathematical methods and computer modeling methods into the animal husbandry is an urgent task. Various methods of data analysis are used to evaluate animals. Experts ' opinions can be taken into account when ranking and evaluating animals by forming training samples for data analysis methods or by forming a generalized quality indicator. This indicator is formed based on the generalized Harrington's desirability function. The analysis of expert assessments allows to determine the weight of each economically useful feature included into the generalized assessment. In this study, attention is paid to finding the polynomial approximant using specialized functions built into the Matlab mathematical package. In the study, taking into account the indicators of economically useful features, a large group of animals was evaluated and ranked. Rank correlation of ranked sequences obtained using the generalized indicator method and the index selection method was also performed. It is shown that these two methods have a very noticeable correlation. On this basis, it is concluded that these two methods can complement each other successfully when conducting breeding work. Thus, the study proves that the use of a reasonable combination of objective and subjective assessment methods in breeding work can improve the quality of this work. The article is illustrated with numerical data presented in the form of tables and diagrams. The conclusions obtained in the course of the work can help researchers and breeders in improving the efficiency of breeding work using information and computer technologies.