Avaliação da contagem de células somáticas (CCS) do leite de vacas do município de Parintins/AM

• Autor(a) principal: Rodrigues, Adrielle Machado
• Data de Publicação: 2023
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFAM
• Texto Completo: http://riu.ufam.edu.br/handle/prefix/7360
• topic: Correlação; Meses; Produção; Qualidade; Correlation; Months; Production; Quality; CIÊNCIAS AGRÁRIAS; Leite - Produção; Leite - Qualidade

Milk is classified as a nutritionally complete food, composed of numerous nutritional constituents such as proteins, lipids, minerals and vitamins. Due to its perishable nature and its importance for human health, it is one of the most tested and evaluated foods from the point of view of quality control, with quality being a subject that is widely discussed and highly demanded by the market. Given the above, the present work aims to evaluate the somatic cell count (SCC) in different months in the municipality of Parintins-Am. Samples were collected once a month for nine months (November 2022 to July 2023). The analysis of the collected samples was carried out at the Dairy Quality Laboratory (LABLAC) of the Federal University of Amazonas, ICSEZ. The samples were evaluated in relation to the quantity of somatic cells present in the milk. To obtain the results, milk somatic cell analyzer equipment called Ekomilk Scan was used. The average results found were compared with Normative Instruction nº 76 (IN-76) of November 26, 2018. For statistical evaluation, the data were analyzed by comparing means, applying the Tukey test with 5% probability for type I error, according to the GLM procedure (SAS, 2002). CCS results were correlated with calving order and collection months, milk production was correlated with collection month and calving order. The average CCS values are within those recommended by IN-76. There was no statistical influence on the correlation CCS with birth order, as well as CCS and month (p>0.05). For milk production there was a significant difference for the month (p<0.05), but there was no statistical difference between milk production and birth order. Factors that influenced these results are related to the region's climate variability and milking management.