Multibreed genome wide association can improve precision of mapping causative variants underlying milk production in dairy cattle

Multibreed genome wide association can improve precision of mapping causative variants underlying milk production in dairy cattle

Nguyen, Thuy T. T., Hayes, Ben J. and Ingram, Brett A. (2014). Genetic parameters and response to selection in blue mussel (Mytilus galloprovincialis) using a SNP-based pedigree. Aquaculture, 420-421, 295-301. doi: /j.aquaculture.

Erbe, M., Hayes, B. K., Goswami, S., Bowman, P. J., Reich, C. M., Mason, B. A. and Goddard, M. E. (2014). Erratum: Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels (J. Dairy Sci. -4129). Journal of Dairy Science, 97 (10), 6622-6622. doi: /jds.2014-97-10-6622

J. (2014)

Pryce, J. E., Wales, W. J., de Haas, Y., Veerkamp, R. F. and Hayes, B. Genomic selection for feed efficiency in dairy cattle. Animal, 8 (1), 1-10. doi: /S1751731113001687

Pryce, J. E., Gonzalez-Recio, O., Thornhill, J. B., Marett, L. C., Wales, W. J., Coffey, M. P., de Haas, Y., Veerkamp, R. F. and Hayes, B. Short communication: Validation of genomic breeding value predictions for feed intake and feed efficiency traits. Journal of Dairy Science, 97 (1), 537-542. doi: /jds.2013-7376

J., Matukumalli, L

DiGiacomo, K., Marett, L. C., Wales, W. J., Hayes, B. J., Dunshea, F. R. and Leury, B. Thermoregulatory differences in lactating dairy cattle classed as efficient or inefficient based on residual feed intake. Animal Production Science, 54 (10), 1877-1881. doi: /AN14311

Druet, T., Macleod, I. M. and Hayes, B. Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions. Heredity, 112 (1), 39-47. doi: /hdy.

Wray, Naomi R., Yang, Jian, Hayes, Ben J., Price, Alkes L., Goddard, Michael E. and Visscher, Peter M. (2013). Author reply to A commentary on Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics, 14 (12), 894-894. doi: /nrg3457-c2

Ross, Elizabeth M., Petrovski, Steve, Moate, Peter J. and Hayes, Ben J. (2013). Metagenomics of rumen bacteriophage from thirteen lactating dairy cattle. BMC Microbiology, 13. doi: -2180-13-242

Nicolazzi, Ezequiel L., Negrini, Riccardo, Chamberlain, Amanda J., Goddard, Michael E., ). Effect of prior distributions on accuracy of genomic breeding values for two dairy traits. Italian Journal of Animal Science, 12 (4) e91, 555-561. doi: /ijas.2013.e91

Ross, Elizabeth M., Moate, Peter J., ). Metagenomic predictions: from microbiome to complex health and environmental phenotypes in humans and cattle. PLoS One, 8 (9) e73056, e73056. doi: /journal.pone.0073056

MacLeod, Iona M., Larkin, Denis M., Lewin, https://rksloans.com/title-loans-wv/ Harris A., Hayes, Ben J. and Goddard, Mike E. (2013). Inferring demography from runs of homozygosity in whole-genome sequence, with correction for sequence errors. Molecular Biology and Evolution, 30 (9), 2209-2223. doi: /molbev/mst125

Ross, E. M., Moate, P. J., ). Investigating the effect of two methane-mitigating diets on the rumen microbiome using massively parallel sequencing. Journal of Dairy Science, 96 (9), 6030-6046. doi: /jds.2013-6766

Raven, Lesley-Ann, Cocks, Benjamin G., Pryce, Jennie E., Cottrell, Jeremy J. and Hayes, Ben J. (2013). Genes of the RNASE5 pathway contain SNP associated with milk production traits in dairy cattle. Genetics Selection Evolution, 45 (1) 25, 391-398. doi: -9686-45-25

Wray, Naomi R., Yang, Jian, Hayes, Ben J., Price, Alkes L., Goddard, Michael E. and Visscher, Peter M. (2013). Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics, 14 (7), 507-515. doi: /nrg3457

Hayes, Benjamin J., Cogan, Noel O. I., Pembleton, Luke W., Goddard, Michael E., Wang, Junping, Spangenberg, German C. and Forster, John W. (2013). Prospects for genomic selection in forage plant species. Plant Breeding, 132 (2), 133-143. doi: /pbr.12037

Hayes, Ben J., Lewin, Harris A. and Goddard, Michael E. (2013). The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation. Trends in Genetics, 29 (4), 206-214. doi: /j.tig.

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