The task of research: 1.To analyse and systematic body measures data; 2.to analyse and systematic control slaughter’s data; 3.to count correlation coefficients between different features. Methodology. It was found correlation coefficients between body measures, growth speed, carcass output and succulence. Correlation coefficients were count by using computer program – Excel. And correlation coefficient’s reliability was found by Snedekor. Conclusions: 1.Between separate body measures and growth fastness was determinated some connexion. The biggest correlation coefficients were between body measures and growth fastness in different periods of life r = 0,444 – 0,688 (P< 0,01). 2.The biggest correlation coefficients were determinated between hinder body parts measures and succulence r = 0,493 – 0,694 (P<0,01). 3.Because these high correlation coefficients show the firm belonging between determined features, so to fulfill the selection we need to take it to account. 4.It was noticed, that bulls which were dwars, they had bigger weight in different periods of their growth, instead the lofty ones. 5.The biggest growth fastness for Lithuanian Black and White breed bulls was definited from 12 – 15 months. They distinguished the biggest weight in this period. So, the most effective way to feed up these bulls would be till this period – 12 – 15 months.