Data Augmentation Enhances Plant-Genomic-Enabled Predictions

Data Augmentation Enhances Plant-Genomic-Enabled Predictions

Genomic selection (GS) is revolutionizing plant breeding. However, its practical implementation is still challenging, since there are many factors that affect its accuracy. For this reason, this research explores data augmentation with the goal of improving its accuracy. Deep neural networks with da...

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Bibliographic Details
Main Authors: Osval A. Montesinos-López, Mario Alberto Solis-Camacho, Leonardo Crespo-Herrera, Carolina Saint Pierre, Gloria Isabel Huerta Prado, Sofia Ramos-Pulido, Khalid Al-Nowibet, Roberto Fritsche-Neto, Guillermo Gerard, Abelardo Montesinos-López, José Crossa
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Genes
Subjects:
genomic selection
plant breeding
data augmentation
novel approach
Online Access:https://www.mdpi.com/2073-4425/15/3/286

Internet

https://www.mdpi.com/2073-4425/15/3/286

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