For more precise plant breeding
It is expected that results from functional genome analysis and systems biology research, together with data science-based modeling approaches, will make it possible to predict plant trait expression more precisely based on genetic makeup of a plant.
The aim of this work is to predict the performance of a particular genotype in a particular environment based on its genome sequence. This should enable a prognosis of plant performance in the field even before crossing and selection have taken place.
This approach requires large amounts of high-quality, compatible or at least interoperable data sets. Hardly ever can one party alone provide such data volumes. BreedFides therefore aims to develop the conceptual basis for data-driven collaborations.
BreedFides
BreedFides is a pilot project financed by the German Ministry for Education and Research (BMBF) for designing data intermediary schemes. For further information on the the BMBF programme “Promotion of projects with a view to developing and real-life testing of data intermediary schemes suitable for research and/or industry purposes”, please refer to (German only) www.bildung-forschung.digital
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