Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth.

Abstract excerpt

The current trends of crop yield improvements are not expected to meet the projected rise in demand. Genomic selection uses molecular markers and machine learning to identify superior genotypes with improved traits, such as growth. Plant growth directly depends on rates of metabolic reactions which transform nutrients into the building blocks of biomass. Here, we predict growth of Arabidopsis thaliana accessions...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Agriculture
• Share to Biomass
• Share to Carbon