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2016 Journal Article Improving genetic gain with genomic selection in autotetraploid potatoSlater, Anthony T., Cogan, Noel O. I., Forster, John W., Hayes, Benjamin J. and Daetwyler, Hans D. (2016). Improving genetic gain with genomic selection in autotetraploid potato. Plant Genome, 9 (3) plantgenome2016.02.0021, plantgenome2016.02.0021-15. doi: 10.3835/plantgenome2016.02.0021 |
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2016 Journal Article GO-FAANG meeting: a gathering on functional annotation of animal genomesTuggle, Christopher K., Giuffra, Elisabetta, White, Stephen N., Clarke, Laura, Zhou, Huaijun, Ross, Pablo J., Acloque, Herve, Reecy, James M., Archibald, Alan, Bellone, Rebecca R., Boichard, Michele, Chamberlain, Amanda, Cheng, Hans, Crooijmans, Richard P. M. A., Delany, Mary E., Finno, Carrie J., Groenen, Martien A. M., Hayes, Ben, Lunney, Joan K., Petersen, Jessica L., Plastow, Graham S., Schmidt, Carl J., Song, Jiuzhou and Watson, Mick (2016). GO-FAANG meeting: a gathering on functional annotation of animal genomes. Animal Genetics, 47 (5), 528-533. doi: 10.1111/age.12466 |
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2016 Journal Article Genomewide association study of methane emissions in Angus beef cattle with validation in dairy cattleManzanilla-Pech, C. I. V., De Haas, Y., Hayes, B. J., Veerkamp, R. F., Khansefid, M., Donoghue, K. A., Arthur, P. F. and Pryce, J. E. (2016). Genomewide association study of methane emissions in Angus beef cattle with validation in dairy cattle. Journal of Animal Science, 94 (10), 4151-4166. doi: 10.2527/jas.2016-0431 |
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2016 Journal Article A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mappingWang, Tingting, Chen, Yi-Ping Phoebe, Bowman, Phil J., Goddard, Michael E. and Hayes, Ben J. (2016). A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping. BMC Genomics, 17 (1) 744, 744. doi: 10.1186/s12864-016-3082-7 |
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2016 Journal Article Genomic selection improves heat tolerance in dairy cattleGarner, J. B., Douglas, M. L., Williams, S. R. O., Wales, W. J., Marett, L. C., Nguyen, T. T. T., Reich, C. M. and Hayes, B. J. (2016). Genomic selection improves heat tolerance in dairy cattle. Scientific Reports, 6 (1) 34114, 34114. doi: 10.1038/srep34114 |
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2016 Journal Article Models for genome x environment interaction: examples in livestockHayes, Ben J., Daetwyler, Hans D. and Goddard, Mike E. (2016). Models for genome x environment interaction: examples in livestock. Crop Science, 56 (5), 2251-2259. doi: 10.2135/cropsci2015.07.0451 |
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2016 Journal Article Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architectureGoddard, M. E., Kemper, K. E., MacLeod, I. M., Chamberlain, A. J. and Hayes, B. J. (2016). Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture. Proceedings of the Royal Society B: Biological Sciences, 283 (1835) 20160569, 20160569. doi: 10.1098/rspb.2016.0569 |
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2016 Journal Article Polyceraty (multi-horns) in Damara sheep maps to ovine chromosome 2Greyvenstein, O. F. C., Reich, C. M., van Marle-Koster, E., Riley, D. G. and Hayes, B. J. (2016). Polyceraty (multi-horns) in Damara sheep maps to ovine chromosome 2. Animal Genetics, 47 (2), 263-266. doi: 10.1111/age.12411 |
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2016 Journal Article Genomic selection for tolerance to heat stress in Australian dairy cattleNguyen, Thuy T. T., Bowman, Phil J., Haile-Mariam, Mekonnen, Pryce, Jennie E. and Hayes, Benjamin J. (2016). Genomic selection for tolerance to heat stress in Australian dairy cattle. Journal of Dairy Science, 99 (4), 2849-2862. doi: 10.3168/jds.2015-9685 |
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2016 Journal Article Detailed phenotyping identifies genes with pleiotropic effects on body compositionBolormaa, Sunduimijid, Hayes, Ben J., van der Werf, Julius H. J., Pethick, David, Goddard, Michael E. and Daetwyler, Hans D. (2016). Detailed phenotyping identifies genes with pleiotropic effects on body composition. BMC Genomics, 17 (224) 224, 1-21. doi: 10.1186/s12864-016-2538-0 |
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2016 Journal Article Genetic gain and inbreeding from genomic selection in a simulated commercial breeding program for perennial ryegrassLin, Zibei, Cogan, Noel O. I., Pembleton, Luke W., Spangenberg, German C., Forster, John W., Hayes, Ben J. and Daetwyler, Hans D. (2016). Genetic gain and inbreeding from genomic selection in a simulated commercial breeding program for perennial ryegrass. Plant Genome, 9 (1) plantgenome2015.06.0046, 876-883. doi: 10.3835/plantgenome2015.06.0046 |
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2016 Journal Article Technical note: equivalent genomic models with a residual polygenic effectLiu, Z., Goddard, M. E., Hayes, B. J., Reinhardt, F. and Reents, R. (2016). Technical note: equivalent genomic models with a residual polygenic effect. Journal of Dairy Science, 99 (3), 2016-2025. doi: 10.3168/jds.2015-10394 |
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2016 Journal Article Genomic heritabilities and genomic estimated breeding values for methane traits in Angus cattleHayes, B. J., Donoghue, K. A., Reich, C. M., Mason, B. A., Bird-Gardiner, T., Herd, R. M. and Arthur, P. F. (2016). Genomic heritabilities and genomic estimated breeding values for methane traits in Angus cattle. Journal of Animal Science, 94 (3), 902-908. doi: 10.2527/jas2015-0078 |
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2016 Journal Article Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traitsMacLeod, I. M., Bowman, P. J., Vander Jagt, C. J., Haile-Mariam, M., Kemper, K. E., Chamberlain, A. J., Schrooten, C., Hayes, B. J. and Goddard, M. E. (2016). Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits. BMC Genomics, 17 (1) 144. doi: 10.1186/s12864-016-2443-6 |
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2016 Journal Article Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traitsAliloo, Hassan, Pryce, Jennie E., Gonzalez-Recio, Oscar, Cocks, Benjamin G. and Hayes, Ben J. (2016). Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits. Genetics Selection Evolution, 48 (1) 186, 8.1-8.11. doi: 10.1186/s12711-016-0186-0 |
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2016 Journal Article Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattleRaven, Lesley-Ann, Cocks, Benjamin G., Kemper, Kathryn E., Chamberlain, Amanda J., Vander Jagt, Christy J., Goddard, Michael E. and Hayes, Ben J. (2016). Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle. Mammalian Genome, 27 (1-2), 81-97. doi: 10.1007/s00335-015-9613-8 |
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2016 Journal Article Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissionsMoate, Peter J., Deighton, Matthew H., Williams, S. Richard O., Pryce, Jennie E., Hayes, Ben J., Jacobs, Joe L., Eckard, Richard J., Hannah, Murray C. and Wales, William J. (2016). Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions. Animal Production Science, 56 (7), 1017-1034. doi: 10.1071/AN15222 |
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2016 Journal Article Genomic selection: a paradigm shift in animal breedingMeuwissen, Theo, Hayes, Ben and Goddard, Mike (2016). Genomic selection: a paradigm shift in animal breeding. Animal Frontiers, 6 (1), 6-14. doi: 10.2527/af.2016-0002 |
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2016 Journal Article Differentially expressed genes in endometrium and corpus luteum of holstein cows selected for high and low fertility are enriched for sequence variants associated with fertilityMoore, Stephen G., Pryce, Jennie E., Hayes, Ben J., Chamberlain, Amanda J., Kemper, Kathryn E., Berry, Donagh P., McCabe, Matt, Cormican, Paul, Lonergan, Pat, Fair, Trudee and Butler, Stephen T. (2016). Differentially expressed genes in endometrium and corpus luteum of holstein cows selected for high and low fertility are enriched for sequence variants associated with fertility. Biology of Reproduction, 94 (1) 19. doi: 10.1095/biolreprod.115.132951 |
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2016 Journal Article Accuracy and computational efficiency of genomic selection with high-density SNP and whole-genome sequence dataWang, Tingting, Chen, Yi-Ping Phoebe and Hayes, Ben (2016). Accuracy and computational efficiency of genomic selection with high-density SNP and whole-genome sequence data. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 11 (034) 034, 1-18. doi: 10.1079/PAVSNNR201611034 |
