Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency
- 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
-
Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency ; volume:54 ; number:1 ; day:6 ; month:9 ; year:2022 ; pages:1-17 ; date:12.2022
Genetics, selection, evolution ; 54, Heft 1 (6.9.2022), 1-17, 12.2022
- Urheber
-
Bolormaa, Sunduimijid
MacLeod, Iona M.
Khansefid, Majid
Marett, Leah C.
Wales, William J.
Miglior, Filippo
Baes, Christine F.
Schenkel, Flavio S.
Connor, Erin E.
Manzanilla-Pech, Coralia I. V.
Stothard, Paul
Herman, Emily
Nieuwhof, Gert J.
Goddard, Michael E.
Pryce, Jennie E.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12711-022-00749-z
- URN
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urn:nbn:de:101:1-2022112321091170070265
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
Datenpartner
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Beteiligte
- Bolormaa, Sunduimijid
- MacLeod, Iona M.
- Khansefid, Majid
- Marett, Leah C.
- Wales, William J.
- Miglior, Filippo
- Baes, Christine F.
- Schenkel, Flavio S.
- Connor, Erin E.
- Manzanilla-Pech, Coralia I. V.
- Stothard, Paul
- Herman, Emily
- Nieuwhof, Gert J.
- Goddard, Michael E.
- Pryce, Jennie E.
- SpringerLink (Online service)
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