152. Developing precision livestock farming in practice: using sensor time series data for breeding decision support systems

The objective of GenTORE is to develop innovative genome-enabled selection and management tools to optimise cattle resilience and efficiency in widely varying environments. These tools incorporate both genetic and non-genetic variables, aiming to increase the economic, environmental and social sustainability of European cattle meat and milk production systems. Using available on-farm technology allows large-scale phenotyping of resilience and efficiency that can be applied to evidence-based management, breeding and culling decisions. Veterinarians and other farm advisors are engaged with farm business drivers that are influenced by consumer and societal demands including the environment, human health concerns regarding antimicrobial resistance and animal welfare. Conflicts exist in balancing these factors. Evidence-based tools to support herd-level strategy are lacking. This work describes how multiple streams of sensor data can be combined to inform herd-level strategy in a time-efficient, automated and objective system to support advisor input to herd health.