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Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship

S. Hong Lee, Sam Clark, Julius H.J. van der Werf
doi: https://doi.org/10.1101/119164
S. Hong Lee
School of Environmental and Rural Science, University of New England, NSW 2351, Australia
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  • For correspondence: hong.lee@une.edu.au Julius.vanderwerf@une.edu.au
Sam Clark
School of Environmental and Rural Science, University of New England, NSW 2351, Australia
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Julius H.J. van der Werf
School of Environmental and Rural Science, University of New England, NSW 2351, Australia
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  • For correspondence: hong.lee@une.edu.au Julius.vanderwerf@une.edu.au
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doi 
https://doi.org/10.1101/119164
History 
  • March 22, 2017.

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  • You are currently viewing Version 1 of this article (March 22, 2017 - 08:22).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. S. Hong Lee*,
  2. Sam Clark and
  3. Julius H.J. van der Werf*
  1. School of Environmental and Rural Science, University of New England, NSW 2351, Australia
  1. ↵*Correspondence: S. Hong Lee, School of Environmental and Rural Science, University of New England, NSW 2351, Australia, Tel: +61 2 6773 3665, Email: hong.lee{at}une.edu.au Or Julius H.J. van der Werf, School of Environmental and Rural Science, University of New England, NSW 2351, Australia Tel: +61 2 6773 2092 Email: Julius.vanderwerf{at}une.edu.au
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Posted March 22, 2017.
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Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship
S. Hong Lee, Sam Clark, Julius H.J. van der Werf
bioRxiv 119164; doi: https://doi.org/10.1101/119164
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Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship
S. Hong Lee, Sam Clark, Julius H.J. van der Werf
bioRxiv 119164; doi: https://doi.org/10.1101/119164

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