Predicting plant and animal traits based on genomic information allows for the precise and efficient selection of superior individuals in breeding. This project aims to implement advanced predictive breeding strategies to improve the accuracy of trait prediction in crops and livestock, focusing on key characteristics such as yield, quality, disease resistance, climate adaptation, and reduced methane emissions. In close collaboration with breeders, the project will deliver practical, science-driven computational solutions that make breeding more efficient. The outcomes can help improve characteristics of crops and livestock, ensuring the long-term sustainability of agricultural production.