Additional file 9 of Assessing the genetic background and genomic relatedness of red cattle populations originating from Northern Europe

Additional file 9: Figure S5. Unsupervised model-based clustering results of 653 individuals from 21 breed. Presented is K = 10 to K = 18, with optimal number of ancestral populations K = 18. ANG: German Angler, AYR: Finnish Ayrshire, BRV: Braunvieh, BSW: Brown Swiss, DBE: Dutch Belted, DFR: Dutch Friesian Red, DR: Deep Red, GNS: Guernsey, GWH: Groningen White-Headed, HOL: Holstein Friesian, IR: Improved Red, JER: Jersey, MON: Montbeliarde, MRY: Meuse-Rhine-Yssel, NRC: Norwegian Red Cattle, PRP: French Red Pied Lowland, RDM70: Traditional Danish Red, RDN: Red and White Dual-Purpose, RH: Red Ho... Mehr ...

Verfasser: Christin Schmidtmann (10266922)
Anna Schönherz (3631549)
Bernt Guldbrandtsen (340532)
Jovana Marjanovic (3551438)
Mario Calus (3505235)
Dirk Hinrichs (8082431)
Georg Thaller (151783)
Dokumenttyp: Image
Erscheinungsdatum: 2021
Schlagwörter: Genetics / Northern Europe / cattle breeds need / genomic / German Red / White Dual-Purpose / Dutch Deep Red breeds / cattle populations / Red Holstein / Northern Europe Abstract Background / genome-wide marker arrays
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28610259
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.6084/m9.figshare.14176213.v1

Additional file 9: Figure S5. Unsupervised model-based clustering results of 653 individuals from 21 breed. Presented is K = 10 to K = 18, with optimal number of ancestral populations K = 18. ANG: German Angler, AYR: Finnish Ayrshire, BRV: Braunvieh, BSW: Brown Swiss, DBE: Dutch Belted, DFR: Dutch Friesian Red, DR: Deep Red, GNS: Guernsey, GWH: Groningen White-Headed, HOL: Holstein Friesian, IR: Improved Red, JER: Jersey, MON: Montbeliarde, MRY: Meuse-Rhine-Yssel, NRC: Norwegian Red Cattle, PRP: French Red Pied Lowland, RDM70: Traditional Danish Red, RDN: Red and White Dual-Purpose, RH: Red Holstein, SHO: Shorthorn, SIM: Simmental.