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Publication DateTitleAuthor(s)Date Added
12011The importance of population structure on the accuracy of genomic prediction in a multi-breed sheep populationDaetwyler, H D; Kemper, K E; Van Der Werf, Julius H ; Hayes, B J7-May-2012
22013A Genomic Prediction Cross-Validation Approach Combining Ewe Repeated Phenotypes and Ram Daughter Trait DeviationsDaetwyler, H D; Bolormaa, S; Brown, Daniel ; Van Der Werf, Julius H ; Hayes, B J24-Mar-2014
32014Genomic Selection in Sheep Breeding ProgramsVan Der Werf, Julius H ; Banks, Robert ; Clark, Sam A ; Lee, S J; Daetwyler, H D; Hayes, B J; Swan, Andrew 8-Mar-2016
42014Using Genomics to Improve Reproduction Traits in SheepDaetwyler, H D; Bolormaa, S; Kemper, Kathryn Elizabeth; Brown, Daniel ; Swan, Andrew ; Van Der Werf, Julius H ; Hayes, B J19-May-2015
52014Genomic Evaluations in the Australian Sheep IndustrySwan, Andrew ; Brown, Daniel ; Daetwyler, H D; Hayes, B J; Kelly, M; Moghaddar, Nasiroddin ; Van Der Werf, Julius H 21-May-2015
62018Exploiting sequence variants for genomic prediction in Australian sheep using Bayesian modelsKhansefid, M; Bolormaa, S; Swan A A ; van der Werf, J H J ; Moghaddar, N ; Duijvesteijn, N ; Daetwyler, H D; MacLeod, I M23-May-2019
72018Genome-wide association study of meat quality traits using whole-genome sequence data in a multi-breed sheep populationBolormaa, S; Khansefid, M; Stothard, P; Daetwyler, H D; MacLeod, I M; Swan A A ; Moghaddar, N ; van der Werf, J H J ; Clark, S ; Duijvesteijn, Naomi ; Gondro, C 23-May-2019