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2NPLGBM: a genomic model that merges the strengths of classical and machine learning methods in genomic prediction

Abstract Background Genomic prediction (GP) is a central component of modern plant breeding, enabling the early selection of superior genotypes based on genomic marker data. Classical GP models, such as genomic best linear unbiased prediction (GBLUP), operate within the data modeling culture and typ...

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Hoofdauteurs: Bright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Ahmad Reza Sharifi, Timothy M. Beissinger
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BMC 2026-05-01
Reeks:Plant Methods
Onderwerpen:
Genomic prediction
Hybrid breeding
LightGBM
Dominance
Non-additive effects
Machine learning
Online toegang:https://doi.org/10.1186/s13007-026-01545-2
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