Acta Scientific Veterinary Sciences (ISSN: 2582-3183)

Research Article Volume 5 Issue 7

Analysis of Epidemiological Indicators for Clinical and Subclinical Mastitis in a Dairy Cattle Herd

Gabriela Fratari Freitas, Thalita Vieira Vinhal, Luanna de Souza Fernandes, Gustavo Paula de Oliveira, Hemonielle Gomes de Melo Silveira and Sérgio Eustáquio Lemos da Silva*

Centro Universitário do Triângulo, UNITRI, Brazil

*Corresponding Author: Sérgio Eustáquio Lemos da Silva, Centro Universitário do Triângulo, UNITRI, Brazil.

Received: June 08, 2023; Published: June 28, 2023

Abstract

Bovine mastitis is a disease of extreme importance for the dairy production chain, since it causes economic losses in production. Mastitis is an inflammatory disease that affects the mammary glands. There are two forms of presentation of the disease, clinical and subclinical, and it is necessary to perform diagnostic tests to differentiate them. The present study aimed to verify the prevalence and incidence of mastitis in a dairy farm located in the southeast of the state of Goiás. For this research, the Somatic Cell Count (SCC) test was used. The results showed 54% prevalence of mastitis, a lower value compared to other studies. The incidence of clinical mastitis was also low, and it was possible to observe periods longer than 30 days without any identification of new cases, due to the care provided on the property, such as the correct management of the herd and milking, hygiene and use of skilled labor. According to the SCC findings, it can be inferred that the low values of the epidemiological indicators analyzed may be associated with good management and hygiene practices practiced on the property, reducing the prevalence and incidence of mastitis.

Keywords: Somatic Cells; SCC; Herd; Cattle Farming

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Citation

Citation: Sérgio Eustáquio Lemos da Silva., et al. “Analysis of Epidemiological Indicators for Clinical and Subclinical Mastitis in a Dairy Cattle Herd".Acta Scientific Veterinary Sciences 5.7 (2023): 114-118.

Copyright

Copyright: © 2023 Sérgio Eustáquio Lemos da Silva., et al.. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Acceptance rate35%
Acceptance to publication20-30 days
Impact Factor1.008

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