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Publication DateTitleAuthor(s)Date Added
12018Exploiting 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
22014Genomic 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
32017Accounting for population structure in genomic prediction of Australian merino sheepMoghaddar, Nasir ; Brown, Daniel ; Swan, Andrew ; Van Der Werf, Julius H 31-May-2018
42015Accuracy of Genomic Prediction for Merino Wool Traits Using High-Density Marker GenotypesMoghaddar, Nasiroddin ; Swan, Andrew ; Van Der Werf, Julius H 24-May-2016
5Nov-2019Genomic Prediction in a Numerically Small Sheep Breed Population Using Imputed Sequence VariantsMoghaddar, N ; Brown, D J ; Swan, A A ; MacLeod, I M; van der Werf, J H J 25-May-2020
62018Genome-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
72013Accuracy of Genomic Prediction from Multi-Breed Sheep Reference PopulationSwan A A ; Moghaddar, N ; van der Werf, J H J 23-May-2019
82018Genomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populationsMoghaddar, N ; MacLeod, I M; Duijvesteijn, N ; Bolormaa, S; Khansefid, M; Al-Mamun, H; Clark, S ; Swan, A A ; Daetwyler, H D; van der Werf, J H J 5-Jun-2020