Issue |
E3S Web Conf.
Volume 493, 2024
International Conference on Advances in Agrobusiness and Biotechnology Research (ABR 2024)
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Article Number | 01004 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202449301004 | |
Published online | 22 February 2024 |
Using animal productivity in programming regional agricultural development
1 Samara State Agrarian University, 446442 Kinel, Russia
2 Samara State Transport University, 443066 Samara, Russia
3 Saratov State Technical University named after Gagarin Y.A., 410054 Saratov, Russia
* Corresponding author: zskirill@mail.ru
The article discusses the issue of optimizing the process of programming the development of agriculture in terms of livestock breeding based on the potential productivity in dairy cattle breeding. As is known, a significant part of the milk obtained from cows is formed due to the genetic characteristics of the animals. Therefore, the fastest result in increasing productivity can be achieved through the intensification of targeted breeding work. This is precisely what the state needs to focus on when leaving programs for the development of the agro-industrial complex. Increasing the genetic potential of a region (territory) and its use should be the basis for drawing up targeted programs. The purpose of the study is to formulate the concept of the genetic potential of the region and determine the possibility of increasing it through commodity lending. Among the instruments of state support for agriculture, the use of commodity lending in livestock farming will make it possible to quickly disseminate favorable breeding achievements throughout the region. For example, in the Samara region, out of 98.8 thousand heads 29.6 thousand cows belong to the population with low genetic potential (29.9%). According to calculations, with minimal financial investments it is possible to completely replace an unproductive herd in the region.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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