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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Bright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Ahmad Reza Sharifi, Timothy M. Beissinger
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	BMC 2026-05-01
Sarja:	Plant Methods
Aiheet:	Genomic prediction Hybrid breeding LightGBM Dominance Non-additive effects Machine learning
Linkit:	https://doi.org/10.1186/s13007-026-01545-2
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