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item_id		Publication Date	Title	Author(s)	Date Added
	1	2014	Using Genomics to Improve Reproduction Traits in Sheep	Daetwyler, H D; Bolormaa, S; Kemper, K E; Brown, D ; Swan, A A ; Van Der Werf, J H J ; Hayes, B J	19-May-2015
	2	2014	Genomic Evaluations in the Australian Sheep Industry	Swan, Andrew ; Brown, Daniel ; Daetwyler, H D; Hayes, B J; Kelly, M; Moghaddar, Nasiroddin ; Van Der Werf, Julius H	21-May-2015
	3	2014	Genomic prediction of weight and wool traits in a multi-breed sheep population	Moghaddar, Nasir ; Swan, Andrew ; Van Der Werf, Julius H	4-Apr-2014
	4	2019	Increase of Power and Efficiency to Fine-Map Genetic Defects Using Genotype Probabilities Through Segregation Analyses	Duijvesteijn, N ; Clark, S A ; Kinghorn, B P ; van der Werf, J H J	10-Jul-2020
	5	2015	Genomic best linear unbiased prediction using differential evolution	Al-Mamun, Hawlader A; Kwan, Paul H ; Clark, Sam A ; Lee, S H; Lee, H K; Song, K D; Lee, S H; Gondro, Cedric	11-Apr-2016
	6	2019	The Accuracy Obtained from Reference Populations for Genomic Selection	van der Werf, J H J ; Clark, S A ; Lee, S H ; Moghaddar, N	14-Jul-2020
	7	2018	On detection of population stratification in genotype samples using spacial clustering and non-linear optimization	Boerner, Vinzent	17-Jul-2018
	8	2012	Genomic selection in the Australian sheep industry	Swan, Andrew	18-Mar-2013
	9	5-Dec-2019	Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations	Moghaddar, Nasir ; Khansefid, Majid; van der Werf, Julius H J ; Bolormaa, Sunduimijid; Duijvesteijn, Naomi ; Clark, Samuel A ; Swan, Andrew A ; Daetwyler, Hans D; MacLeod, Iona M	2-Jul-2020
	10	2018	Genomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populations	Moghaddar, 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