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...

Full description

Bibliographic Details
Main Authors: Montesinos-Lopez, Abelardo, Crespo Herrera, Leonardo A., Dreisigacker, Susanna, Gerard, Guillermo S., Vitale, Paolo, Saint Pierre, Carolina, Velu, Govindan, Tarekegn, Zerihun Tadesse, Chavira-Flores, Moisés, Pérez-Rodríguez, Paulino, Ramos-Pulido, Sofía, Lillemo, Morten, Huihui Li, Montesinos-Lopez, Osval ., Crossa, José
Format: Journal Article
Language:Inglés
Published: Frontiers Media 2024
Subjects:
Online Access:https://hdl.handle.net/10568/159859

Similar Items: Deep learning methods improve genomic prediction of wheat breeding