Journal article

Multiple-trait QTL mapping and genomic prediction for wool traits in sheep

Sunduimijid Bolormaa, Andrew A Swan, Daniel J Brown, Sue Hatcher, Nasir Moghaddar, Julius H van der Werf, Michael E Goddard, Hans D Daetwyler

GENETICS SELECTION EVOLUTION | BMC | Published : 2017

Abstract

BACKGROUND: The application of genomic selection to sheep breeding could lead to substantial increases in profitability of wool production due to the availability of accurate breeding values from single nucleotide polymorphism (SNP) data. Several key traits determine the value of wool and influence a sheep's susceptibility to fleece rot and fly strike. Our aim was to predict genomic estimated breeding values (GEBV) and to compare three methods of combining information across traits to map polymorphisms that affect these traits. METHODS: GEBV for 5726 Merino and Merino crossbred sheep were calculated using BayesR and genomic best linear unbiased prediction (GBLUP) with real and imputed 510,17..

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University of Melbourne Researchers

Grants

Funding Acknowledgements

The authors gratefully acknowledge funding or use of data from the Cooperative Research Centre for Sheep Industry Innovation, SheepGENOMICS project, Sheep Genetics, Australian Wool Innovation Ltd, and FarmIQ. The authors would like to extend their gratitude to Klint Gore (University of New England, Armidale, NSW, 2351, Australia) for preparing and cleaning genotype data and managing the CRC information nucleus database, and all staff involved at the Sheep CRC sites and SG sites across Australia. The ovine HD BeadChip was developed under the auspices of the International Sheep Genomics Consortium, in close collaboration between AgResearch New Zealand, CSIRO Livestock Industries, Baylor College of Medicine, and Agriculture Victoria, with work underwritten by FarmIQ (http://www.farmiq.co.nz/), a joint New Zealand government and industry Primary Growth Partnership programme.