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Genomic Prediction of Meat Tenderness in Nellore Cattle: Multi-Trait and Weighted Single-Step Genomic Best Linear Unbiased Prediction Approaches.

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

Soares Byanka Bueno, Brunes Ludmilla Costa, da Costa Eifert Eduardo, Costa Marcos Fernando Oliveira E, Sainz Roberto Daniel, Sanches Ana Christina, Baldi Fernando, Magnabosco Cláudio Ulhoa

Abstract excerpt

This study aimed to evaluate the impact of different genomic prediction approaches on the predictive ability for meat tenderness in Nellore cattle. Phenotypic (n = 73,286), pedigree (n = 4,141,892) and genomic (n = 15,300) data from animals belonging to the genetic improvement program of the National Association of Breeders and Researchers (ANCP) were used. Six models were tested: (1) standard ssGBLUP...

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PMID: 40960183
DOI: 10.1111/jbg.70015

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