Applying Methods of Mathematical Modeling in Cattle Breeding
Ruslan Omarov1, Ivan Gorlov2, Marina Slozhenkina3, Natalia Mosolova4, Sergei Shlykov5
1Ruslan Omarov*, Volga Research Institute of Production & Processing of Meat & Dairy Products; Stavropol State Agrarian University, Stavropol, Russia.
2Ivan Gorlov, Volga Research Institute of Production & Processing of Meat & Dairy Products.
3Marina Slozhenkina, Volga Research Institute of Production & Processing of Meat & Dairy Products.
4Natalia Mosolova, Volga Research Institute of Production & Processing of Meat & Dairy Products.
5Sergei Shlykov, Stavropol State Agrarian University, Stavropol, Russia.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 185-187 | Volume-8 Issue-12, October 2019. | Retrieval Number: L35211081219/2019©BEIESP | DOI: 10.35940/ijitee.L3521.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this manuscript has presented the results of applying modern methods of mathematical modeling in animal husbandry. To conduct the research has used the method of least squares, which has reflected in the work by approximation probabilistic non-linear relations, making it possible to establish the relationship between different measurements the body parts of animal and meat productivity, and linear measurements of the udder.
Keywords: Mathematical Modeling, Hyperbolic Model, Multiple Regressions, Measurements the Body Parts.
Scope of the Article: Production