Genomic prediction for crossbred performance using metafounders
Genomic prediction for crossbred performance using metafounders
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Full title
Author / Creator
Publisher
United States: Oxford University Press
Journal title
Language
English
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Publisher
United States: Oxford University Press
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Scope and Contents
Contents
Future genomic evaluation models to be used routinely in breeding programs for pigs and poultry need to be able to optimally use information of crossbred (CB) animals to predict breeding values for CB performance of purebred (PB) selection candidates. Important challenges in the commonly used single-step genomic best linear unbiased prediction (ssG...
Alternative Titles
Full title
Genomic prediction for crossbred performance using metafounders
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_548013
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_548013
Other Identifiers
ISSN
0021-8812
E-ISSN
1525-3163
DOI
10.1093/jas/sky433
