Mastitis is the most prevalent production disease in dairy herds world-wide, affecting animal welfare and production. Mastitis-causing bacteria are contagious and environmental pathogens, based upon important reservoirs and modes of transmission of each group. Social and behavioural interactions play a crucial role in the transmission of diseases on dairy farms. However, observational studies of social behaviour provide insufficient information to identify transmission routes.
Nowadays, Precision livestock farming technologies offer an excellent opportunity to continuously monitor the animals and understand the transmission routes of this multifactorial disease. Previous studies of our research group described the heterogeneous nature of dyadic interactions between cows, indicating a non-random movement in the herd. Particularly, proximity loggers provide information about dyadic spatial interactions between animals, which can be used to permanently monitor the social behaviour of dairy cows and estimate spatial occupancy by applying trilateration algorithms.
In addition, automated milking systems collect daily information about individual cows' milk production (e.g., milk yield and somatic cell count). The inclusion of subclinical conditions in mastitis control protocols (i.e., somatic cell count information) in dairy cattle has been one major advance in dairy health. Diseases in dairy cows can lead to decreased milk production, as well as increased use of antibiotics and other treatments, which can contribute to the development of antibiotic-resistant bacteria that can be harmful to humans and the environment. Therefore, the application of preventive measures to reduce the incidence of mastitis in dairy cows will promote the principles of One Health in the dairy industry.
Bearing this in mind, we will explore the relationship between the social networks and area occupancy of dairy cows with the individual somatic cell count data. The results provided by this pilot study will provide a baseline for understanding how the social interactions and proximity between dairy cows could impact their somatic cell count. Based on these findings, we will design a long-term project to unravel the transmission routes of mastitis-causing bacteria within barns and to design prevention and intervention protocols for transmissible diseases in dairy cows.
Contact researcher
Hector Marina, hector.marina@slu.se, tele +46793506609