Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle

Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle

Abstract Genomic selection (GS) offers a promising opportunity for selecting more efficient animals to use consumed energy for maintenance and growth functions, impacting profitability and environmental sustainability. Here, we compared the prediction accuracy of multi-layer neural network (MLNN) an...

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Detalhes bibliográficos
Principais autores: Lucio F. M. Mota, Leonardo M. Arikawa, Samuel W. B. Santos, Gerardo A. Fernandes Júnior, Anderson A. C. Alves, Guilherme J. M. Rosa, Maria E. Z. Mercadante, Joslaine N. S. G. Cyrillo, Roberto Carvalheiro, Lucia G. Albuquerque
Formato: Artigo
Idioma:English
Publicado em: Nature Portfolio 2024-03-01
coleção:Scientific Reports
Acesso em linha:https://doi.org/10.1038/s41598-024-57234-4

Internet

https://doi.org/10.1038/s41598-024-57234-4

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