About

This course was intended for research scientists from the private sector and public institutions interested in learning the foundations of different prediction frameworks considering the integration of multiple omics of information (or layers) with applications in plant and animal breeding. The course demonstrated the development and utilization of prediction models in plant breeding programs and how to implement these at different stages of the breeding pipeline. The focus of the course was to facilitate to attendees the foundations of the different paradigms (parametric, non-parametric AI) in which these implementations are based. Participants learned the basis for modeling trait performance of genotypes assisted by the integration of multiple data types ‘omics’ considering different approaches (parametric, non-parametric/Artificial Intelligence (AI), AI crop growth models, etc.)