Productive and Adaptive Qualities of Saanen Goats In Tyumen Oblast
- DOI
- 10.2991/agrosmart-18.2018.130How to use a DOI?
- Keywords
- milk production, Saanen breed, adaptation
- Abstract
Dairy goat farming is one of the promising areas of animal farming. Modern milk production necessitates not only certain technical solutions in production arrangement, but primarity high yield animals adapted to industrial production. Saanen is one of the most fitting breeds for milk production. This paper characterizes the Saanen goats of Kizerov farming enterprise, Tyumen oblast. The research results support possibility of adapting this breed of goats to the region's climatic conditions. This conclusion is supported by the fact that despite lower milk yield (by 27.4% as compared to mothers), dams at the farm has shown high scores in fat and protein content of milk. The production of young stock was 7.3 - 25.0% lower than the recommended values. However, at the age of 1.5 years, the rearing stock corresponded to elite class by its weight and had harmonious built similar to that of the adult nannies while having insignificantly smaller sizes. The selection coefficients obtained allows conducting early picking of animals for both exterior and daily milk yield with the aim to form a high yield breed herd. The studies of polymorphism in blood proteins and enzymes revealed a high level of uniformity of the herd, thus confirming its breed and allowing recommending to introduce some fresh blood with the aim to increase the genetic variability of the herd.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - M.A. Svyazhenina AU - N.I. Tatarkina AU - E.A. Ponomareva AU - M.A. Chasovschikova PY - 2018/12 DA - 2018/12 TI - Productive and Adaptive Qualities of Saanen Goats In Tyumen Oblast BT - International scientific and practical conference "AgroSMART - Smart solutions for agriculture" (AgroSMART 2018) PB - Atlantis Press SP - 695 EP - 699 SN - 2352-5401 UR - https://doi.org/10.2991/agrosmart-18.2018.130 DO - 10.2991/agrosmart-18.2018.130 ID - Svyazhenina2018/12 ER -