Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1297-9686
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits ; volume:49 ; number:1 ; day:5 ; month:12 ; year:2017 ; pages:1-13 ; date:12.2017
Genetics, selection, evolution ; 49, Heft 1 (5.12.2017), 1-13, 12.2017
- Klassifikation
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Landwirtschaft, Veterinärmedizin
- Urheber
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Gebreyesus, Grum
- Beteiligte Personen und Organisationen
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Lund, Mogens S.
Buitenhuis, Bart
Bovenhuis, Henk
Poulsen, Nina A.
Janss, Luc G.
SpringerLink (Online service)
- DOI
-
10.1186/s12711-017-0364-8
- URN
-
urn:nbn:de:1111-2018020413093
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:54 MESZ
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Beteiligte
- Gebreyesus, Grum
- Lund, Mogens S.
- Buitenhuis, Bart
- Bovenhuis, Henk
- Poulsen, Nina A.
- Janss, Luc G.
- SpringerLink (Online service)
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SNP discovery in the bovine milk transcriptome using RNA-Seq technology
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SNP eQTL status and eQTL density in the adjacent region of the SNP are associated with its statistical significance in GWA studies
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Easy bootstrap-like estimation of asymptotic variances
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