Multimodal deep learning methods enhance genomic prediction of wheat breeding

While several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes in plant breeding research, few methods have linked genomics and phenomics (imaging). Deep learning (DL) neural networks have been developed...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Abelardo, Rivera, Carolina, Pinto, Francisco, Piñera, Francisco, Gonzalez, David, Reynolds, Mathew, Pérez-Rodríguez, Paulino, Li, Huihui, Montesinos-López, Osval A, Crossa, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Genomic Prediction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151399/
https://www.ncbi.nlm.nih.gov/pubmed/36869747
http://dx.doi.org/10.1093/g3journal/jkad045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151399/
https://www.ncbi.nlm.nih.gov/pubmed/36869747
http://dx.doi.org/10.1093/g3journal/jkad045

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