Deep learning methods improve genomic prediction of wheat breeding

Deep learning methods improve genomic prediction of wheat breeding

In the field of plant breeding, various machine learning models have been developed and studied to evaluate the genomic prediction (GP) accuracy of unseen phenotypes. Deep learning has shown promise. However, most studies on deep learning in plant breeding have been limited to small datasets, and on...

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Bibliographic Details
Main Authors: Abelardo Montesinos-López, Leonardo Crespo-Herrera, Susanna Dreisigacker, Guillermo Gerard, Paolo Vitale, Carolina Saint Pierre, Velu Govindan, Zerihun Tadesse Tarekegn, Moisés Chavira Flores, Paulino Pérez-Rodríguez, Sofía Ramos-Pulido, Morten Lillemo, Huihui Li, Osval A. Montesinos-López, Jose Crossa
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Plant Science
Subjects:
GBLUP model
genomic prediction
multi-modal deep learning model
machine learning methods
relationship matrices
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1324090/full

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https://www.frontiersin.org/articles/10.3389/fpls.2024.1324090/full

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