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Article

Genome-enable prediction for health traits using high-density SNP panel in US Holstein cattle.

Animal genetics - 1 Mar 2020

Lopes F, Rosa G, Pinedo P, Santos J E P, Chebel R C, Galvao K N, Schuenemann G M, Bicalho R C, Gilbert R O, Rodrigez-Zas S, Seabury C M, Thatcher W

Abstract excerpt

The objective of this study was to compare accuracies of different Bayesian regression models in predicting molecular breeding values for health traits in Holstein cattle. The dataset was composed of 2505 records reporting the occurrence of retained fetal membranes (RFM), metritis (MET), mastitis (MAST), displaced abomasum (DA), lameness (LS), clinical endometritis (CE), respiratory disease (RD), dystocia (DYST)...

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Identifiers

PMID: 31909828
DOI: 10.1111/age.12892
PMCID: PMC7065151

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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