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Genetics Research|February 18, 2009
Increased accuracy of artificial selection by using the realized relationship matrixB J Hayes, P M Visscher, M E GoddardJournal of Dairy Science|January 1, 1995
Genetic parameters for milk yield, survival, workability, and type traits for Australian dairy cattleP M Visscher, M E GoddardJournal of Animal Science|April 15, 2008
Technical note: prediction of breeding values using marker-derived relationship matricesB J Hayes, M E GoddardJournal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|December 14, 2007
Genomic selectionM E Goddard, B J HayesJournal of Dairy Science|December 24, 2011
Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic informationJ E Pryce, B J Hayes, M E GoddardGenetics|April 6, 2001
Prediction of total genetic value using genome-wide dense marker mapsT H Meuwissen, B J Hayes, M E GoddardMolecular Psychiatry|June 15, 2011
Evidence-based psychiatric genetics, AKA the false dichotomy between common and rare variant hypothesesP M Visscher, M E Goddard, E M Derks, et al.Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|November 9, 2011
Using the genomic relationship matrix to predict the accuracy of genomic selectionM E Goddard, B J Hayes, T H E MeuwissenJournal of Dairy Science|December 16, 2003
Genotype x environment interaction for milk production of daughters of Australian dairy sires from test-day recordsB J Hayes, M Carrick, P Bowman, et al.Journal of Dairy Science|July 27, 2010
Multivariate analysis of a genome-wide association study in dairy cattleS Bolormaa, J E Pryce, B J Hayes, et al.Pageof 21