Issue |
E3S Web of Conf.
Volume 222, 2020
International Scientific and Practical Conference “Development of the Agro-lndustrial Complex in the Context of Robotization and Digitalization of Production in Russia and Abroad” (DAIC 2020)
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Article Number | 02033 | |
Number of page(s) | 9 | |
Section | Modern Directions of Highly Productive Environmentally Friendly Agro- and Water Management, Development and Implementation of Systems for the Rational use of Modern Chemical and Biological Protection of Agricultural Plants and Animals, the Use of New Drugs, Growth Agents, Antidepressants, Immunostimulants, Probiotics and Feed Additives | |
DOI | https://doi.org/10.1051/e3sconf/202022202033 | |
Published online | 22 December 2020 |
Algorithm for complex diagnostics of cattle emerging diseases
Federal State Budgetary Institution “Ural Federal Agrarian Scientific Research Center of the Ural Branch of the Russian Academy of Sciences”, 620142 Yekaterinburg, Russia
* Corresponding author: ev-pechura@bk.ru
Problems of detailed studies into the epizootic process of infectious diseases of farm animals, mechanisms of interaction of pathogenic microorganisms with macroorganisms, as well as issues of health improvement and protection of animal populations from epizootically significant diseases are acute for veterinary science and practice. As a result of the studies the spectrum of pathogens in parasite cenosis on the territory of the entity of the Russian Federation was identified. The species composition of pathogens in cases of non-infectious pathology and infectious diseases in young cattle is specified. The pathogens are represented by Staphylococcus spp., Streptococcus spp., E. coli. K-99, pathogenic fungi Aspergillus spp.and yeast fungi Candida albicans, BHV-1 and BVDV. A database was compiled to upgrade the methodology of analyzing epizootological studies. The development and implementation of health and health-related programs has decreased the occurence of acute intestinal infections and respiratory tract infections in young cattle by more than 1.3 times. Multi-level epizootic surveillance of farm animal populations can prevent the occurrence and spread of particularly dangerous infections, eliminate managed infections, downgrade the risk of post-infectious complications and improve the economic efficiency of the livestock industry as a whole.
© The Authors, published by EDP Sciences, 2020
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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