Aplicação da análise de perigos e pontos críticos de controle em propriedade leiteira com sistema de ordenha robotizada em Carambeí - PR

Abstract

Milk production in Brazil has advanced through the adoption of automation technologies, such as the Automatic Milking System (AMS), which enhance efficiency, precision, and animal welfare. However, technology alone is not sufficient to guarantee the hygienic and sanitary milk quality, making preventive management systems essential. In this context, this study apply the principles of the Hazard Analysis and Critical Control Points (HACCP) system in na AMS dairy farm located in Carambeí, Paraná, Brazil, with the objective of identifying potential hazards and establishing control strategies. This qualitative, exploratory, and descriptive case study involved data collection through on-site observations and face-to-face questionnaires with three participants directly involved in the milking routine, after approval from the Research Ethics Committee. Good practies and prerequisite programs (PRP) required for HACCP implementation were assessed, including product description and maping of robotic milking process. The application of the tool enabled the mapping of the robotic milking process, identification of hazards and definition of Critical Control Points (CCP), along with critical limits, monitoring procedures, corrective acrtions, and documentation guidelines developed in collaboration with the farm staff. A total of 26 hazards were identified; none were classified as critical or highly significant, while 11 were considered moderately significant, primarily biological hazards associated with mastites, biofilms, and cross-contamination. Based on these potential hazards, three Critical Control Points were defined: one biological, one chemical, and one physical. The study concludes that implementing HACCP in robotic milking systems is feasible and contributes to reinforcing risk management, improving milk safety, and standardizing the production process, offering technical support for farms currently using or planning to adopt AMS.