Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit

Jørn Rind Thomasen; C Egger-Danner; A Willam; Bernt Guldbrandtsen; Mogens Sandø Lund; Anders Christian Sørensen

doi:10.3168/jds.2013-6599

Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit

Authors:

Thomasen, Jørn Rind ;
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Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Science and Technology, Aarhus University
Egger-Danner, C ;
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ZuhchtData EDV-Dienstleistungen GmbH
Willam, A ;
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Division of Livestock Sciences, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Science Vienna
Guldbrandtsen, Bernt ;
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Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Science and Technology, Aarhus University
Lund, Mogens Sandø ;
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Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Science and Technology, Aarhus University
Sørensen, Anders Christian
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Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Science and Technology, Aarhus University

DOI:

10.3168/jds.2013-6599

Abstract:

Small dairy cattle populations are challenged because of the low reliabilities of genomic predictions. We have demonstrated that low reliabilities of genomic predictions sets limitations for moving towards more genetic efficient breeding schemes with more intensive use of young bulls without progeny testing. Strong positive interaction effects between increased reliability of genomic predictions and more intensive use of young bulls exist. From an economic perspective a juvenile scheme is always advantageous. The main future focus area for the smaller dairy cattle breeds is to join forces that increase reliabilities of genomic predictions.

Type:

Journal article

Language:

English

Published in:

Journal of Dairy Science, 2014, Vol 97, Issue 1, p. 458-470

Main Research Area:

Science/technology

Publication Status:

Published

Review type:

Peer Review

Submission year:

2013

Scientific Level:

Scientific

ID:

255873660

Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit

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