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2016

Journal Article

Genomic selection for tolerance to heat stress in Australian dairy cattle

Nguyen, 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

Genomic selection for tolerance to heat stress in Australian dairy cattle

2016

Journal Article

Detailed phenotyping identifies genes with pleiotropic effects on body composition

Bolormaa, 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

Detailed phenotyping identifies genes with pleiotropic effects on body composition

2016

Journal Article

Technical note: equivalent genomic models with a residual polygenic effect

Liu, 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

Technical note: equivalent genomic models with a residual polygenic effect

2016

Journal Article

Genomic heritabilities and genomic estimated breeding values for methane traits in Angus cattle

Hayes, 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

Genomic heritabilities and genomic estimated breeding values for methane traits in Angus cattle

2016

Journal Article

Genetic gain and inbreeding from genomic selection in a simulated commercial breeding program for perennial ryegrass

Lin, 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), 876-883. doi: 10.3835/plantgenome2015.06.0046

Genetic gain and inbreeding from genomic selection in a simulated commercial breeding program for perennial ryegrass

2016

Journal Article

Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits

Aliloo, 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

Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits

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 cattle

Raven, 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

Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle

2016

Journal Article

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

MacLeod, 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

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

2016

Journal Article

Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions

Moate, 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

Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions

2016

Journal Article

Genomic selection: a paradigm shift in animal breeding

Meuwissen, 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

Genomic selection: a paradigm shift in animal breeding

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 fertility

Moore, 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

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

2016

Journal Article

Accuracy and computational efficiency of genomic selection with high-density SNP and whole-genome sequence data

Wang, 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

Accuracy and computational efficiency of genomic selection with high-density SNP and whole-genome sequence data

2015

Journal Article

Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction

Moghaddar, Nasir, Gore, Klint P., Daetwyler, Hans D., Hayes, Ben J. and van der Werf, Julius H. J. (2015). Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction. Genetics Selection Evolution, 47 (1) 175. doi: 10.1186/s12711-015-0175-8

Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction

2015

Journal Article

Rare variants in transcript and potential regulatory regions explain a small percentage of the missing heritability of complex traits in cattle

Gonzalez-Recio, Oscar, Daetwyler, Hans D., MacLeod, Iona M., Pryce, Jennie E., Bowman, Phil J., Hayes, Ben J. and Goddard, Michael E. (2015). Rare variants in transcript and potential regulatory regions explain a small percentage of the missing heritability of complex traits in cattle. PLoS One, 10 (12) e0143945, e0143945. doi: 10.1371/journal.pone.0143945

Rare variants in transcript and potential regulatory regions explain a small percentage of the missing heritability of complex traits in cattle

2015

Journal Article

Extensive variation between tissues in allele specific expression in an outbred mammal

Chamberlain, Amanda J., Vander Jagt, Christy J., Hayes, Benjamin J., Khansefid, Majid, Marett, Leah C., Millen, Catriona A., Nguyen, Thuy T. T. and Goddard, Michael E. (2015). Extensive variation between tissues in allele specific expression in an outbred mammal. BMC Genomics, 16 (1) 993. doi: 10.1186/s12864-015-2174-0

Extensive variation between tissues in allele specific expression in an outbred mammal

2015

Journal Article

Two-variance-component model improves genetic prediction in family datasets

Tucker, George, Loh, Po-Ru, MacLeod, Iona M., Hayes, Ben J., Goddard, Michael E., Berger, Bonnie and Price, Alkes L. (2015). Two-variance-component model improves genetic prediction in family datasets. American Journal of Human Genetics, 97 (5), 677-690. doi: 10.1016/j.ajhg.2015.10.002

Two-variance-component model improves genetic prediction in family datasets

2015

Journal Article

A catalogue of novel bovine long noncoding RNA across 18 tissues

Koufariotis, Lambros T., Chen, Yi-Ping Phoebe, Chamberlain, Amanda, Jagt, Christy Vander and Hayes, Ben J. (2015). A catalogue of novel bovine long noncoding RNA across 18 tissues. PLoS One, 10 (10) e0141225, e0141225. doi: 10.1371/journal.pone.0141225

A catalogue of novel bovine long noncoding RNA across 18 tissues

2015

Journal Article

Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows

Pryce, J. E., Gonzalez-Recio, O., Nieuwhof, G., Wales, W. J., Coffey, M. P., Hayes, B. J. and Goddard, M. E. (2015). Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows. Journal of Dairy Science, 98 (10) 73864, 7340-7350. doi: 10.3168/jds.2015-9621

Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows

2015

Journal Article

Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy

Bolormaa, S., Gore, K., van der Werf, J. H. J., Hayes, B. J. and Daetwyler, H. D. (2015). Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy. Animal Genetics, 46 (5), 544-556. doi: 10.1111/age.12340

Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy

2015

Journal Article

Selection on optimal haploid value increases genetic gain and preserves more genetic diversity relative to genomic selection

Daetwyler, Hans D., Hayden, Matthew J., Spangenberg, German C. and Hayes, Ben J. (2015). Selection on optimal haploid value increases genetic gain and preserves more genetic diversity relative to genomic selection. Genetics, 200 (4), 1341-1348. doi: 10.1534/genetics.115.178038

Selection on optimal haploid value increases genetic gain and preserves more genetic diversity relative to genomic selection