Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet...
Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing
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Publisher
France: BioMed Central Ltd
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English
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France: BioMed Central Ltd
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In aquaculture, the proportion of edible meat (FY = fillet yield) is of major economic importance, and breeding animals of superior genetic merit for this trait can improve efficiency and profitability. Achieving genetic gains for fillet yield is possible using a pedigree-based best linear unbiased prediction (PBLUP) model with direct and indirect...
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Full title
Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing
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TN_cdi_doaj_primary_oai_doaj_org_article_01edec849b724c43bc54e8adb5a9b97f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_01edec849b724c43bc54e8adb5a9b97f
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ISSN
1297-9686,0999-193X
E-ISSN
1297-9686
DOI
10.1186/s12711-023-00782-6
