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Genomic selection models double the accuracy of predicted breeding values for bacterial cold water d...

Genomic selection models double the accuracy of predicted breeding values for bacterial cold water d...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5289005

Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture

About this item

Full title

Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture

Publisher

France: BioMed Central Ltd

Journal title

Genetics selection evolution (Paris), 2017-02, Vol.49 (1), p.17-17, Article 17

Language

English

Formats

Publication information

Publisher

France: BioMed Central Ltd

More information

Scope and Contents

Contents

Previously, we have shown that bacterial cold water disease (BCWD) resistance in rainbow trout can be improved using traditional family-based selection, but progress has been limited to exploiting only between-family genetic variation. Genomic selection (GS) is a new alternative that enables exploitation of within-family genetic variation.
We co...

Alternative Titles

Full title

Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5289005

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5289005

Other Identifiers

ISSN

1297-9686,0999-193X

E-ISSN

1297-9686

DOI

10.1186/s12711-017-0293-6

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