Guosheng Su

Haplotype Based Genome-Enabled Prediction of Traits Across Nordic Red Cattle Breeds

Publikation: KonferencebidragPaperForskningpeer review

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  • Paper

    Accepteret manuskript, 79,9 KB, PDF-dokument

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  • Beatriz Castro Dias Cuyabano, Danmark
  • Mogens Sandø Lund
  • G J M Rosa, Department of Animal Sciences, University of Wisconsin, Madison, USA, USA
  • Daniel Gianola, Department of Animal Sciences, University of Wisconsin, USA
  • Guosheng Su
SNP markers have been widely explored in genome based prediction. This study explored the use of haplotype blocks (haploblocks) to predict five milk production traits (fertility, mastitis, protein, fat and milk yield), using a mix of Nordic Red cattle as reference population for training. Predictions were performed under a Bayesian approach comparing a GBLUP and a mixture model. In general, predictions were more reliable when using haploblocks instead of individual SNPs as predictors. The Danish Red cattle presented the largest benefit in predictive ability from haploblocks, achieving 5.1% higher reliability than with the individual SNP approach in mastitis. This work gives evidence that predictions using haploblocks along with a combined training population of dairy cattle, may improve prediction accuracy of important traits in the individual populations.
OriginalsprogEngelsk
Udgivelsesår17 aug. 2014
Antal sider3
StatusUdgivet - 17 aug. 2014
Begivenhed10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada
Varighed: 17 aug. 201422 aug. 2014
Konferencens nummer: 10th

Konference

Konference10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Nummer10th
LokationThe Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
LandCanada
ByVancouver
Periode17/08/201422/08/2014

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