Using digital technologies for classification of domestic pigs by the type of live weight growth

摘要

This publication identifies the problem of classification of domestic pigs by type of growth intensity and final live weight. It is shown that the existing classification allows quite flawed examples of representatives of separate classes. The authors of this article decided to enhance the existing classification with the sorting of representatives within each cluster on the basis of literature reports. Large fast-growing, large slow-growing, small fast- growing, and small slow-growing types of pig growth were identified. The most specific representatives of each cluster were indicated. For the experimental verification of produced proposition, the growth dynamics of several samples of domestic pigs were estimated using relative live weight at different growth stages, growth visualization on graphs, as well as regression equations. The results of all methods showed a fairly clear differentiation of domestic pigs into small and large types. The identifying of fast- and slow-growing types within each group was very conditional. The main reason for the poor knowledge of this topic is the actual complexity of the mathematical description of growth. Some methods, for example, regression analysis, are to some extent time consuming when calculating in the traditional way, without using modern software.