POSSIBILITY OF COMPUTER EXPERIMENT IN STUDY OF ANIMAL SPERMATOZOA HETEROGENEITY

70 The use of mathematical models when conducting experiments makes it possible to not only detect, but also to explain the obtained regularities, which allows scientists to create entirely new ways for cryopreservation of biological objects. Modern scientific methodology identifies three stages of knowledge mathemization: statistical processing of empirical data, experiment modeling on the basis of regression equations and the existence of relatively complete mathematical theories represented by analytical expressions [1]. Achievements in the field of cryobiology allow to widely use analytical methods in mathematical modeling and to explore the potential of the use of statistical methods for the analysis and optimization of multi-factorial experiments. To date, there have been a number of studies aimed at improving the motility of animal sperm by optimizing the parameters that define the freezing mode of biological objects [2–10]. It is found that the success of cryopreservation of biological objects, including sperm, mainly depends on three tied components: proper selection of cryoprotectant and its concentration, composition of a diluent and the freeze-thaw mode characteristics. Analysis of the cryopreservation results [2, 3, 6–8, 10–15] shows that bull and carp sperm motility rate lowers during sperm freezing and thawing. T h e r e s u l t o f a n i m a l s p e r m cryopreservation depends on the variation of the initial state of the ejaculate. Consequently, the initial state of the biological object and features of technological operations that were conducted prior to cryopreservation may have an impact on the mobility of deconserved material. Therefore, to study patterns of repeatability of cryopreservation results, it is necessary to develop a mathematical model UDC 57.08:636:31 doi: 10.15407/biotech9.02.070