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Data Augmentation Enhances Plant-Genomic-Enabled Predictions.

Genes - 24 Feb 2024

Montesinos-López Osval A, Solis-Camacho Mario Alberto, Crespo-Herrera Leonardo, Saint Pierre Carolina, Huerta Prado Gloria Isabel, Ramos-Pulido Sofia, Al-Nowibet Khalid, Fritsche-Neto Roberto, Gerard Guillermo, Montesinos-López Abelardo, Crossa José

Abstract excerpt

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 data augmentation (DA) generate synthetic data from the original training set to increase the training set and to...

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PMID: 38540344
DOI: 10.3390/genes15030286
PMCID: PMC10969940

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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