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Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth
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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229213/ https://www.ncbi.nlm.nih.gov/pubmed/32415110 http://dx.doi.org/10.1038/s41467-020-16279-5 |