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Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses

Crossref DOI link: https://doi.org/10.1186/s12711-020-00568-0

Published Online: 2020-08-14

Published Print: 2020-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Aoxing http://orcid.org/0000-0002-9155-1494
Lund, Mogens Sandø

Boichard, Didier

Karaman, Emre

Guldbrandtsen, Bernt

Fritz, Sebastien

Aamand, Gert Pedersen

Nielsen, Ulrik Sander

Sahana, Goutam

Wang, Yachun

Su, Guosheng
Funding

Funding for this research was provided by:

Genomics in herds

The Program for Changjiang Scholar and Innovation Research Team in University
License Information

Text and Data Mining valid from 2020-08-14

Version of Record valid from 2020-08-14
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Article History

Received: 18 September 2019

Accepted: 7 August 2020

First Online: 14 August 2020

Ethics approval and consent to participate

: All phenotypic data were recorded as part of routine management and genetic evaluations. The genotype data were obtained from routine genomic evaluations. Thus, no additional animal handing or experiment was performed specifically for this study.

: Not applicable.

: The authors declare that they have no competing interests.

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