Mathematical model for the blood tests of young cattle
This research was conducted at the Research Farm of the All-Russian Research Institute of Animal Husbandry n. a. academician L. K. Ernst. Its aim was to test the impact of adaptogene feed additives containing shungite on blood biochemistry of young cattle. One of the test-groups consumed normal shungite, another one - heat-treated under 200<sup>o</sup>C. Blood statistics was performed using Gaussian neural net. Any deviations from the Gaussian statistical model possibly resulted from the organism defense regulation of the biosyntheses of erythrocytes, hemoglobin, platelets, leukocytes, etc. Bioconsolidation indices and their correlations with productivity enabled fast and precise data processing and pattern detection. Such parameters of blood biochemistry and hematology as alanine transaminase (ALT), albumins, aspartate transaminase (AST), total protein, hematocrit, hemoglobin, globulins, calcium, creatinine, leukocytes, urea, calcium-to-phosphorus ratio, total cholesterol and erythrocytes had positive correlation with productivity and respective bioconsolidation indices. At the same time atherogenic coefficient (AC), total bilirubin, glucose, the De Ritis ratio, phosphorus and alkaline phosphatase negatively correlated with the respective bioconsolidation indices and productivity. Therefore, nonstandard blood statistics was able to describe organism defense mechanisms, and the values of bioconsolidation indices - to estimate the effectiveness of animal immune system.