Mathematical methods of modeling in an experiment to assess the breeding value of Simmental young bulls

The application of genomic selection has become a decisive scientific leap in the effective implementation of breeding programs around the world. The size of the recorded populations, the application of modern technologies and the simultaneous testing of a large number of markers on the animal genome have led to significant progress in the field of livestock breeding compared to traditional breeding methods. At the same time, as analysis tools, it is necessary to operate with modern methods that allow you to perform all the procedures for the intellectual processing of empirical data. The presented article gives the results of a statistical analysis of the genomic indices of Austrian bulls in order to identify the leading informative indicators. When processing digital material, the main emphasis was placed on the use of the SPSS Statistics application 27. Thanks to the developed apparatus of statistical analysis, the program made it possible to process large data arrays with high speed and calculation accuracy. The following indices served as material for the comparative analysis of the breeding value of bulls: GZW - index of general breeding value; Mkg - milk improvement index; F% - fat improvement index; E% - protein improvement index; MW - milk productivity index; FW - meat quality index; FIT is an index that includes genomic indicators (fertility, SCC, longevity). The presented indicators allow us to give a comparative description of Austrian bulls of the Simmental breed aged from 1 (n=211) to 2 (n=474) years. The results of the study demonstrate: the strongest correlations were obtained when comparing GZW with MW and Mkg - 0.631 and 0.531 (p function show_eabstract() { $('#eabstract1').hide(); $('#eabstract2').show(); $('#eabstract_expand').hide(); }