ArticleAnimal genetics2026
Evaluation of Multi-Breed Genomic Prediction Models for Carcass and Reproductive Traits in Zebu Beef Cattle.
Article in Animal genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Genomic prediction in beef cattle is particularly challenging in breeds with limited phenotypic and genotypic data. In this context, multi-breed methodologies that integrate information from genetically related populations have emerged as a promising strategy to improve prediction accuracy and calibration under data-scarce conditions. This study evaluated different genomic prediction approaches in a multi-breed population of Zebu cattle, including Nellore, Guzerat, Brahman, and Tabapua, using 653 785 phenotypic records, 190 865 genotypic records, and 3 681 158 pedigree records. The traits analyzed were rib eye area (REA), rump fat thickness (RFT), age at first calving (AFC), and accumulated productivity (ACP). Genomic estimated breeding values were obtained using the single-step GBLUP method under four models: single-breed (G
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