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Publication DateTitleAuthor(s)Date Added
12015Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracyBolormaa, Sunduimijid; Gore, Klint ; Van Der Werf, Julius H ; Hayes, Ben J; Daetwyler, Hans D1-Sep-2016
22015Random regression test day models to estimate genetic parameters for milk yield and milk components in Philippine dairy buffaloesFlores, Ester Battad; Van Der Werf, Julius H 1-Sep-2016
32015Contrast Effects and Sex Influence Maternal and Self-Report Dimensional Measures of Attention-Deficit Hyperactivity DisorderEbejer, Jane ; Medland, Sarah; Van Der Werf, Julius H ; Wright, M J; Henders, A K; Gillespie, N A; Hickie, I B; Martin, Nicholas; Duffy, D L28-Jul-2015
42015Industry benefits from using genomic information in two- and three-tier sheep breeding systemsHorton, Brian J; Banks, Robert ; Van Der Werf, Julius H 17-Apr-2015
52015Genetic parameters for egg production traits in purebred and hybrid chicken in a tropical environmentTongsiri, Siriporn; Jeyaruban, M Gilbert ; Van Der Werf, Julius H 22-Apr-2016
62015Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic predictionMoghaddar, Nasiroddin ; Gore, Klint ; Daetwyler, Hans D; Hayes, Ben J; Van Der Werf, Julius H 29-Aug-2016
72015Breeding objectives for sheep should be customised depending on variation in pasture growth across yearsRose, Gus; Mulder, H A; Thompson, A N; Van Der Werf, Julius H ; van Arendonk, J A M12-Oct-2016
82015Increased genetic gains in sheep, beef and dairy breeding programs from using female reproductive technologies combined with optimal contribution selection and genomic breeding valuesGranleese, Tom ; Clark, Sam A ; Swan, Andrew ; Van Der Werf, Julius H 5-Sep-2016
92015Design of reference populations for genomic selection in crossbreeding programsvan Grevenhof, Ilse E M; Van Der Werf, Julius H 1-Sep-2016