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2014 Conference Publication Resources and strategies for implementation of genomic selection in breeding of forage speciesForster, J. W., Hand, M. L., Cogan, N. O. I., Hayes, B. J., Spangenberg, German C. and Smith, K. F. (2014). Resources and strategies for implementation of genomic selection in breeding of forage species. Clayton, VIC, Australia: C S I R O Publishing. doi: 10.1071/CP13361 |
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2014 Conference Publication Genomic selection in crops, trees and forages: a reviewLin, Z., Hayes, B. J. and Daetwyler, H. D. (2014). Genomic selection in crops, trees and forages: a review. Clayton, VIC, Australia: C S I R O Publishing. doi: 10.1071/CP13363 |
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2014 Conference Publication Mapping QTL in Australian dairy cattle using genomic selection methodologiesKemper, K. E., Vander Jagt, C. J., Bowman, P. J., Reich, C. M., Mason, B. A., Hayes, B. J. and Goddard, M. E. (2014). Mapping QTL in Australian dairy cattle using genomic selection methodologies. World Congress of Geneics Applied to Livestock Production, Vancouver, BC, Canada, 17-22 August 2014. Vancouver, BC, Canada: World Congress on Genetics Applied to Livestock Production. |
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2014 Conference Publication Genomic evaluations in the Australian sheep industrySwan, A. A, Brown, D. J., Daetwyler, H. D., Hayes, B. J., Kelly, M., Moghaddar, N. and van der Werf, J. H. J. (2014). Genomic evaluations in the Australian sheep industry. 10th World Congress of Genetics Applied to Livestock Production, Vancouver Canada, 2014. |
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2013 Conference Publication Use of molecular technologies for the advancement of animal breeding: genomic selection in dairy cattle populations in Australia, Ireland and New ZealandSpelman, Richard J., Hayes, Ben J. and Berry, Donagh P. (2013). Use of molecular technologies for the advancement of animal breeding: genomic selection in dairy cattle populations in Australia, Ireland and New Zealand. Clayton, VIC, Australia: C S I R O Publishing. doi: 10.1071/AN12304 |
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2013 Conference Publication Genomic regions associated with differences in fat percentage in milk between Holstein and Jersery cattleKemper, K. E., Hayes, B. J. and Goddard, M. E. (2013). Genomic regions associated with differences in fat percentage in milk between Holstein and Jersery cattle. Association for the Advancement of Animal Breeding and Genetics, Napier, New Zealand, 20-23 October 2013. Red Hook, NY, United States: Curran Associates. |
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2013 Conference Publication The symbiotic rumen microbiome and cattle performance: a brief reviewBath, C., Morrison, M., Ross, E. M., Hayes, B. J. and Cocks, B. G. (2013). The symbiotic rumen microbiome and cattle performance: a brief review. Clayton, VIC, Australia: CSIRO Publishing. doi: 10.1071/AN12369 |
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2011 Conference Publication The importance of population structure on the accuracy of genomic prediction in a multi-breed sheep populationDaetwyler, H. D., Kemper, K. E., van der Werf, J. H. J. and Hayes, B. J. (2011). The importance of population structure on the accuracy of genomic prediction in a multi-breed sheep population. Association for the Advancement of Animal Breeding and Genetics, Perth, Australia, 19-21 July 2011. Perth, Australia: Association for the Advancement of Animal Breeding and Genetics. |
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2010 Conference Publication Genome-wide association and genomic selection in animal breedingHayes, Ben and Goddard, Mike (2010). Genome-wide association and genomic selection in animal breeding. International Conference on Exploiting Genome-Wide Association in Oilseed Brassicas - A Model for Genetic Improvement of Major OECD Crops for Sustainable Future Farming, Perth Australia, Nov 09-12, 2009. doi: 10.1139/G10-076 |
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2007 Conference Publication SNP detection exploiting multiple sources of redundancy in large EST collections improves validation ratesHayes, Ben J., Nilsen, Kjetil, Berg, Paul R., Grindflek, Eli and Lien, Sigbjorn (2007). SNP detection exploiting multiple sources of redundancy in large EST collections improves validation rates. doi: 10.1093/bioinformatics/btm154 |
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2007 Conference Publication Design of a whole genome scan experiment for a multi-breed beef cattle population with a complex pedigreeKelly, M.J., Hayes, B.J. and Miller, S.P. (2007). Design of a whole genome scan experiment for a multi-breed beef cattle population with a complex pedigree. 17th Conference: Genetic Improvement - Making it Happen, Armidale, N.S.W., 23-26 September 2007. Armidale NSW: Association for the Advancement of Animal Breeding Genetics. |
