Artificial intelligence meets genomic selection: comparing deep learning and GBLUP across diverse plant datasets

Artificial intelligence meets genomic selection: comparing deep learning and GBLUP across diverse plant datasets

To enhance the implementation of genomic selection (GS) in plant breeding, we conducted a comprehensive comparative analysis of deep learning (DL) models and genomic best linear unbiased predictor (GBLUP) methods across 14 real-world datasets derived from diverse plant breeding programs. We evaluate...

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Bibliographic Details
Main Authors: Abelardo Montesinos-López, Osval A. Montesinos-López, Sofia Ramos-Pulido, Brandon Alejandro Mosqueda-González, Edgar Alejandro Guerrero-Arroyo, José Crossa, Rodomiro Ortiz
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Genetics
Subjects:
benchmarking
deep learning
GBLUP
genomic selection
plant breeding
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2025.1568705/full
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https://www.frontiersin.org/articles/10.3389/fgene.2025.1568705/full

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