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Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses

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dc.contributor.authorGredler-Grandl, B.
dc.contributor.authorRaymond, B.
dc.contributor.authorSchopen, G.C.B.
dc.contributor.authorChitneedi, P.K.
dc.contributor.authorCai, Z.
dc.contributor.authorManzanilla-Pech, C.I.V.
dc.contributor.authorIso-Touru, T.
dc.contributor.authorFischer, D.
dc.contributor.authorBolormaa, S.
dc.contributor.authorChud, T.S.
dc.contributor.authorSchenkel, F.S.
dc.contributor.authorWang, Y.
dc.contributor.authorLi, C.
dc.contributor.authorHailemariam, D.
dc.contributor.authorVillanueva, B.
dc.contributor.authorFernandez, A.
dc.contributor.authorKuehn, C.
dc.contributor.authorSahana, G.
dc.contributor.authorLidauer, M.H.
dc.contributor.authorPryce, J.E.
dc.contributor.authorGonzález-Recio, O.
dc.contributor.authorPlastow, G.
dc.contributor.authorBaes, C.F.
dc.contributor.authorCharfeddine, N.
dc.contributor.authorde Haas, Y.
dc.contributor.authorVeerkamp, R.F.
dc.contributor.authorBouwman, A.C.
dc.contributor.departmentid4100210310
dc.contributor.departmentid4100111010
dc.contributor.departmentid4100210310
dc.contributor.editorVeerkamp, R.F.
dc.contributor.editorde Haas, Y.
dc.contributor.orcidhttps://orcid.org/0000-0001-8258-9047
dc.contributor.orcidhttps://orcid.org/0000-0002-7513-683X
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2024-02-13T07:36:40Z
dc.date.accessioned2025-05-28T07:20:23Z
dc.date.available2024-02-13T07:36:40Z
dc.date.issued2022
dc.description.abstractWe evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutch Holstein cows. Sequence variants were selected from meta-analyses including GWAS summary statistics for QTL and metabolomic QTL in several dairy and crossbred beef populations. Selected variants were prioritized in GBLUP models in a five-fold cross-validation. The accuracies were compared to genomic prediction based on routine 50k genotype data. The average accuracy for the 50k scenario was 0.683. Adding selected sequence variants in the GBLUP model did not improve the accuracies for dry matter intake. Next steps will include testing Bayesian variable selection methods to prioritize variants in genomic prediction for dry matter intake.
dc.format.bitstreamtrue
dc.format.pagerange1181-1184
dc.identifier.isbn978-90-8686-940-4
dc.identifier.olddbid497243
dc.identifier.oldhandle10024/554676
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/12402
dc.identifier.urnURN:NBN:fi-fe202402137033
dc.language.isoen
dc.okm.avoinsaatavuuskytkin1 = Avoimesti saatavilla
dc.okm.corporatecopublicationei
dc.okm.discipline412
dc.okm.internationalcopublicationon
dc.okm.julkaisukanavaoa1 = Open access -julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherWageningen academic publishers
dc.relation.conferenceWorld Congress on Genetics Applied to Livestock Production (WCGALP)
dc.relation.doi10.3920/978-90-8686-940-4_280
dc.relation.ispartofProceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
dc.rightsCC BY 4.0
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/554676
dc.titleAccuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses
dc.typepublication
dc.type.okmfi=A4 Artikkeli konferenssijulkaisussa|sv=A4 Artikel i en konferenspublikation|en=A4 Conference proceedings|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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