Anders Christian Sørensen

Bias of genetic trend of genomic predictions based on both real dairy cattle and simulated data

Publikation: KonferencebidragPosterForskning

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  • Paper

    Forlagets udgivne version, 351 KB, PDF-dokument

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This study investigated the phenomenon of bias in the trend of genomic predictions and attempted to find the reason and solution for this bias. The data used in this study include Danish Jersey data and simulation data. In Jersey data, the bias was reduced when cows were included in the reference population. In simulated data, there was no bias when the test animals were unselected cows. When the G matrix was derived from genotypes of causal genes, the bias was reduced. The results suggest that the main reasons for causing the bias of the prediction trends are the selection of bulls and bull dams as well as the inaccurate relationship matrix. The possible strategies to eliminate the bias could be to use cow reference and improve genomic relationship matrix
OriginalsprogEngelsk
Udgivelsesår17 aug. 2014
Antal sider1
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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