EVOLVE is organised in work packages that form a cycle: experiments generate data, AI models learn from that data, and the models in turn guide the next experiments, the design of new bio-inputs and breeding decisions.
We study how plant cells produce extracellular vesicles and decide which molecules to pack inside, starting in model plants and moving to wheat.
We develop new bio-based inputs that deliver beneficial signals to plant roots and soil microbes, and explore how they can become smart fertiliser products.
We grow wheat varieties under drought, nitrogen shortage and both combined, and analyse how these stresses change the signals the roots release.
We study how plant signals change soil microbial communities and their functions, such as nitrogen and phosphorus cycling and plant growth promotion, and how this affects nitrogen losses.
We bring together all project data and use AI to predict which combinations of wheat variety, microbes and plant signals work best.
We translate the findings into breeding tools and test new wheat lines for yield and for efficient use of nitrogen and water.
We analyse the nutritional composition of the grain and test its processing and baking properties.
We harmonise methods across partners and assess the environmental footprint of the new approaches compared with conventional practices.
We work with other EIC Pathfinder projects on shared technologies, regulation, sustainability assessment and exploitation.
Aarhus University coordinates the project and leads communication, dissemination and exploitation.