METHOD FOR ZOOLOGY-AND-HYGIENIC PREDICTION OF THE PERFORMANCE LEVEL OF THE FIRST LITTER GILTS AND SUCKLING PIGLETS OBTAINED FROM THEM ACCORDING TO THE SOWS’ BODY DEFENSES AND INDICATORS OF THEIR HEMATOLOGICAL PROFILE

It became possible to use software in various areas of biology along with development of High Technology Park in Belarus. Information technologies have been used in zoology engineering in the last few years primarily in selection and breeding work. The aim of research is to develop method for computer zoology-and-hygienic prediction of the performance level of the first litter gilts and suckling piglets obtained from them according to the sows’ body defenses and indicators of their hematological profile. The paper presents curvilinear mathematical models developed based on hematologic profile of the first litter gilts with blood samples obtained from on day 3-4 after piglets birth, allowing to simulate numerical values of sows multiple pregnancy rate, average daily weight gain of piglets and their safety in the first three weeks of life, based on change in morphological, biochemical and immunological blood indices. It has been determined that the positive correlation between hematological parameters of the first litter gilts with the performance indicators are mainly of the humoral defense factors; separate indicators of lipid and carbohydrate metabolism; protein fractions; indicators of protein and pigment metabolism; serum enzymes; separate macro and trace elements. Thus, the computer program allows to predict the sows’ multiple pregnancy rate, average daily weight gain and safety of suckling piglets according to the available parameters of sows’ blood.

1. Nikitchenko I. N., Plyashchenko S. I., Zen’kov A. S. Adaptation, stresses and performance of farm animals. Minsk, Uradzhai Publ., 1988. 200 p. (in Russian).

2. Solyanik V. V. Program and mathematical method for analytical description of biological and technological processes in animal husbandry. Zootekhnicheskaya nauka Belarusi: sbornik nauchnykh trudov [Zootechnical science of Belarus: collection of scientific papers]. Minsk, 2001, vol. 36, pp. 348–359 (in Russian).

3. Ershov Yu. A., Mushkambarov N. N. Kinetics and thermodynamics of biochemical and physiological processes. Moscow, Meditsina Publ., 1990. 208 p. (in Rissian).

4. Solyanik A. V., Solyanik V. V., Solyanik A. A. General theoretical bases of using numerical methods in making managerial decisions in pig breeding. Gorki, Belarusian State Agricultural Academy, 2013. 412 p. (in Russian).

5. Pond W. G., Houpt K. A. The biology of the pig. Ithaca, N.Y., Comstock Pub. Associates, 1978. 371 p. (Russ. ed.: Pond U. Dzh., Khaupt K. A. Biologiya svin’i. Moscow, Kolos Publ., 1983. 334 p.).

6. Patten B. M. Embryology of the pig. 3nd ed. Philadelphia, Blakiston Co, 1948. 352 p.

7. Altman P. L., Dittmer D. S. (eds.) Growth including reproduction and morphological development. Washington, Federation of American Societies for Experimental Biology 1962. 608 p.

8. Solyanik S. V., Khochenkov A. A., Tanana L. A., Pestis M. V. Computer and veterinary hygiene simulation of numerical values of parameters of natural resistance, hematological profile and performance of young pigs at pig breeding complexes. Vestsi Natsyyanal’nai akademii navuk Belarusi. Seryya agrarnykh navuk = Proceedings of the National Academy of Sciences of Belarus. Agrarian series, 2017, no. 4, pp. 76–91 (in Russian).

9. Solyanik S. V. Computer program for calculation of the daily hematological profile and natural resistance of pigs, depending on their age and physiological stage. Nauchno-prakticheskie puti povysheniya ekologicheskoy ustoychivosti i so-tsial’no-ekonomicheskoe obespechenie sel’skokhozyaystvennogo proizvodstva: mezhdunarodnaya nauchno-prakti cheskaya konferentsiya, s. Solenoe Zaymishche, 18–19 maya 2017 g. [Scientific and practical ways to improve environmental sustainability and socio-economic support for agricultural production: the international scientific and practical conference, p. Solenoye Zaimishche, May 18–19, 2017]. Solenoye Zaimishche, 2017, pp. 1468–1477 (in Russian).

10. Solyanik S. V. Computer program for modeling hematologic profile of pigs based on time factor. Nauchnoprakticheskie puti povysheniya ekologicheskoy ustoychivosti i sotsial’no-ekonomicheskoe obespechenie sel’skokhozyaystvennogo proizvodstva: mezhdunarodnaya nauchno-prakticheskaya konferentsiya, s. Solenoe Zaymishche, 18–19 maya 2017 g. [Scientific and practical ways to improve environmental sustainability and socio-economic support for agricultural production: the international scientific and practical conference, p. Solenoye Zaimishche, May 18–19, 2017]. Solenoye Zaimishche, 2017, pp. 1491–1497 (in Russian).

11. Solyanik V. V, Solyanik S. V. Computer simulation of changes of morphological and biochemical parameters of blood and natural resistance of organism of gestating and lactating sows. Svinarstvo: mіzhvіdomchii tematichnii naukovii zbіrnik [Pork: Interdepartmental thematic scientific collection]. Poltava, 2014, iss. 65, pp. 209–215 (in Russian).

12. Solyanik V. V., Solyanik S. V. Mathematical description of daily variations in blood indicators of sows during gestation and suckling periods. Nauchnyi faktor v strategii innovatsionnogo razvitiya svinovodstva: sbornik materialov XXII Mezhdunarodnoi nauchno-prakticheskoi konferentsii, Grodno, 9–11 sentyabrya 2015 g. [Scientific factor in the strategy of innovative development of pig breeding: collection of materials of the 22nd International scientific and practical conference, Grodno, September 9–11, 2015]. Grodno, 2015, pp. 388–399 (in Russian).

13. Solyanik S. V., Solyanik V. V. Computer modeling of the relationship between the hematologic profile of first litter sows with their performance. Nauchno-prakticheskie puti povysheniya ekologicheskoy ustoychivosti i sotsial’no-ekonomicheskoe obespechenie sel’skokhozyaystvennogo proizvodstva: mezhdunarodnaya nauchno-prakticheskaya konferentsiya, s. Solenoe Zaymishche, 18–19 maya 2017 g. [Scientific and practical ways to improve environmental sustainability and socio-economic support for agricultural production: the international scientific and practical conference, p. Solenoye Zaimishche, May 18–19, 2017]. Solenoye Zaimishche, 2017, pp. 1509–1514 (in Russian).

14. Solyanik A. V., Solyanik V. V., Solyanik V. A. Zootechnical statistics in spreadsheets. Gorki, Belarusian State Agricultural Academy, 2012. 433 p. (in Russian).