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Genomic Prediction Ability for Novel Profitability Traits Using Different Models in Nelore Cattle.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 Mar 2026

Pereira Letícia Silva, Magnabosco Cláudio Ulhôa, Rosa Guilherme, Stafuzza Nedenia Bonvino, Albertini Tiago Zanett, Carvalho Minos, Lobo Raysildo Barbosa, Peripolli Elisa, da Costa Eifert Eduardo, Baldi Fernando

Abstract excerpt

The aim of this study was to assess the accuracy, bias and dispersion of genomic predictions for accumulated profitability (APF) and profit per kilogram of liveweight gain (PFT) in Nelore cattle using different prediction approaches. The dataset consisted of 3969 phenotypic records for each trait. The pedigree harboured information from 38,930 animals born between 1998 and 2016, including 2691 sires and 19,884...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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PMID: 40977629
DOI: 10.1111/jbg.70016
PMCID: PMC12887148

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