Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations

KEY MESSAGE: Integration of multi-omics data improved prediction accuracies of oat agronomic and seed nutritional traits in multi-environment trials and distantly related populations in addition to the single-environment prediction. ABSTRACT: Multi-omics prediction has been shown to be superior to g...

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Detalles Bibliográficos
Autores principales: Hu, Haixiao, Campbell, Malachy T., Yeats, Trevor H., Zheng, Xuying, Runcie, Daniel E., Covarrubias-Pazaran, Giovanny, Broeckling, Corey, Yao, Linxing, Caffe-Treml, Melanie, Gutiérrez, Lucía, Smith, Kevin P., Tanaka, James, Hoekenga, Owen A., Sorrells, Mark E., Gore, Michael A., Jannink, Jean-Luc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580906/
https://www.ncbi.nlm.nih.gov/pubmed/34643760
http://dx.doi.org/10.1007/s00122-021-03946-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580906/
https://www.ncbi.nlm.nih.gov/pubmed/34643760
http://dx.doi.org/10.1007/s00122-021-03946-4

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