IMPACTOS NA QUALIDADE E PRODUÇÃO DO LEITE DEVIDO A ELEVADAS CONTAGENS DE CÉLULAS SOMÁTICAS
IMPACTOS NA QUALIDADE E PRODUÇÃO DO LEITE DEVIDO A ELEVADAS CONTAGENS DE CÉLULAS SOMÁTICAS
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DOI: https://doi.org/10.22533/at.ed.344122509061
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Palavras-chave: leite, CCS, qualidade, produtividade
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Keywords: milk, SCC, quality, productivity
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Abstract: Milk production is an extremely important sector for the agricultural economy, as it supplies one of the most widely consumed foods worldwide. However, ensuring milk quality and productivity depends directly on animal health. Numerous factors can impact production, such as herd management, climatic conditions, and most critically herd health. One of the key health indicators in dairy cows is the Somatic Cell Count (SCC) in milk, which is associated with infections like mastitis, an inflammation of the mammary gland. Milk recording involves the systematic collection of data on milk production and quality, serving as a crucial tool for monitoring animal health and identifying potential issues. Analysis of this data helps detect patterns and anomalies linked to diseases like mastitis, which directly affect milk yield and quality. In Brazil, the dairy sector is strictly regulated by various standards established by the Ministry of Agriculture, Livestock, and Supply (MAPA), aimed at ensuring product quality and food safety. Among these regulations, Normative Instructions No. 76 and No. 77 (2018) stand out as the primary legal frameworks governing the production, transportation, storage, and processing of refrigerated raw milk. These regulations define technical criteria and quality standards that all stakeholders in the milk production chain must strictly follow, contributing to sanitary control and continuous improvement in Brazilian milk quality. According to multiple studies, animals with healthy mammary glands exhibit SCC values of up to 200,000 cells/mL of milk, while higher levels may indicate mammary imbalance, suggesting mastitis. For a more detailed analysis, sample subcategorization was adopted. In this study, using data obtained from the Brazilian Holstein Breeders Association’s milk recording system, data extraction techniques were applied in Google Colab. Quantitative analysis of milk production and composition (fat, lactose, and protein) allowed for the calculation of mean values and standard deviation. The results revealed a direct relationship between elevated SCC levels, infections, and reduced milk quality and yield. Thus, data extraction and statistical analysis techniques proved essential for decision-making, further reinforcing SCC’s negative impact on these production parameters.
- Wellington Cardoso Inglês
- Elisa Norberto Ferreira Santos