H2020 InnoVar

The main goal of InnoVar is to augment and improve the efficacy and accuracy of European crop variety testing and decision-making, using an integrated approach incorporating genomics, phenomics and machine learning. This project will take plant variety evaluation to the next level by developing sustainability criteria; identifying synergies between DUS and VCU; developing High-Performance-Low-Risk variety categorisation; and communicating this information to farmers and to the wider public. Historic data will form the foundation of the InnoVar database. This will then be expanded with harmonised data generated from the extensive InnoVar trial series. The project initially focuses on wheat before applying the InnoVar approach to other crops, including legumes, perennial rye grass, and maize.