ArticleTranslational animal science2026
Genomic prediction of beef quality using GWAS-prioritized markers.
Article in Translational animal science, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Tenderness and marbling are key carcass quality traits in beef cattle that strongly influence consumer eating satisfaction and repeat purchasing behavior. Because both traits are measured postmortem, they are difficult to incorporate into routine selection programs. Genomic selection therefore provides a practical strategy to improve these traits. This study evaluated the effectiveness of GWAS-informed SNP preselection for predicting Warner-Bratzler shear force (WBSF) and marbling breeding values using reduced marker densities in Brangus cattle. Using a structured population (
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