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

Scientific reports - 17 Mar 2024

Mota Lucio F M, Arikawa Leonardo M, Santos Samuel W B, Fernandes Júnior Gerardo A, Alves Anderson A C, Rosa Guilherme J M, Mercadante Maria E Z, Cyrillo Joslaine N S G, Carvalheiro Roberto, Albuquerque Lucia G

Abstract excerpt

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) and support vector regression (SVR) against single-trait (STGBLUP), multi-trait genomic best linear unbiased prediction...

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PMID: 38493207
DOI: 10.1038/s41598-024-57234-4
PMCID: PMC10944497

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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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