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Items: 1 to 20 of 138

1.

Genome position specific priors for genomic prediction.

Brøndum RF, Su G, Lund MS, Bowman PJ, Goddard ME, Hayes BJ.

BMC Genomics. 2012 Oct 10;13:543. doi: 10.1186/1471-2164-13-543.

2.

Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels.

Erbe M, Hayes BJ, Matukumalli LK, Goswami S, Bowman PJ, Reich CM, Mason BA, Goddard ME.

J Dairy Sci. 2012 Jul;95(7):4114-29. doi: 10.3168/jds.2011-5019. Erratum in: J Dairy Sci. 2014 Oct;97(10):6622.

3.

Including overseas performance information in genomic evaluations of Australian dairy cattle.

Haile-Mariam M, Pryce JE, Schrooten C, Hayes BJ.

J Dairy Sci. 2015 May;98(5):3443-59. doi: 10.3168/jds.2014-8785. Epub 2015 Mar 12.

PMID:
25771052
4.

Genomic predictions based on a joint reference population for the Nordic Red cattle breeds.

Zhou L, Heringstad B, Su G, Guldbrandtsen B, Meuwissen TH, Svendsen M, Grove H, Nielsen US, Lund MS.

J Dairy Sci. 2014 Jul;97(7):4485-96. doi: 10.3168/jds.2013-7580. Epub 2014 May 2.

5.

Consistency of linkage disequilibrium between Chinese and Nordic Holsteins and genomic prediction for Chinese Holsteins using a joint reference population.

Zhou L, Ding X, Zhang Q, Wang Y, Lund MS, Su G.

Genet Sel Evol. 2013 Mar 21;45:7. doi: 10.1186/1297-9686-45-7.

6.

Efficiency of multi-breed genomic selection for dairy cattle breeds with different sizes of reference population.

Hozé C, Fritz S, Phocas F, Boichard D, Ducrocq V, Croiseau P.

J Dairy Sci. 2014;97(6):3918-29. doi: 10.3168/jds.2013-7761. Epub 2014 Apr 3.

PMID:
24704232
7.

Multi-population genomic prediction using a multi-task Bayesian learning model.

Chen L, Li C, Miller S, Schenkel F.

BMC Genet. 2014 May 3;15:53. doi: 10.1186/1471-2156-15-53.

8.

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

Aliloo H, Pryce JE, González-Recio O, Cocks BG, Hayes BJ.

Genet Sel Evol. 2016 Feb 1;48:8. doi: 10.1186/s12711-016-0186-0.

9.
10.

The patterns of genomic variances and covariances across genome for milk production traits between Chinese and Nordic Holstein populations.

Li X, Lund MS, Janss L, Wang C, Ding X, Zhang Q, Su G.

BMC Genet. 2017 Mar 15;18(1):26. doi: 10.1186/s12863-017-0491-9.

11.

Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle.

van Binsbergen R, Calus MP, Bink MC, van Eeuwijk FA, Schrooten C, Veerkamp RF.

Genet Sel Evol. 2015 Sep 17;47:71. doi: 10.1186/s12711-015-0149-x.

12.

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions.

Kemper KE, Reich CM, Bowman PJ, Vander Jagt CJ, Chamberlain AJ, Mason BA, Hayes BJ, Goddard ME.

Genet Sel Evol. 2015 Apr 17;47:29. doi: 10.1186/s12711-014-0074-4.

13.

Assets of imputation to ultra-high density for productive and functional traits.

Jiménez-Montero JA, Gianola D, Weigel K, Alenda R, González-Recio O.

J Dairy Sci. 2013 Sep;96(9):6047-58. doi: 10.3168/jds.2013-6793. Epub 2013 Jun 28.

PMID:
23810591
14.

Accuracy of genomic breeding values in multi-breed dairy cattle populations.

Hayes BJ, Bowman PJ, Chamberlain AC, Verbyla K, Goddard ME.

Genet Sel Evol. 2009 Nov 24;41:51. doi: 10.1186/1297-9686-41-51.

15.

Extent of linkage disequilibrium, consistency of gametic phase, and imputation accuracy within and across Canadian dairy breeds.

Larmer SG, Sargolzaei M, Schenkel FS.

J Dairy Sci. 2014 May;97(5):3128-41. doi: 10.3168/jds.2013-6826. Epub 2014 Feb 26.

PMID:
24582440
16.

Joint genomic evaluation of French dairy cattle breeds using multiple-trait models.

Karoui S, Carabaño MJ, Díaz C, Legarra A.

Genet Sel Evol. 2012 Dec 7;44:39. doi: 10.1186/1297-9686-44-39.

17.

Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances.

Su G, Christensen OF, Janss L, Lund MS.

J Dairy Sci. 2014 Oct;97(10):6547-59. doi: 10.3168/jds.2014-8210. Epub 2014 Aug 14.

18.

Empirical and deterministic accuracies of across-population genomic prediction.

Wientjes YC, Veerkamp RF, Bijma P, Bovenhuis H, Schrooten C, Calus MP.

Genet Sel Evol. 2015 Feb 6;47:5. doi: 10.1186/s12711-014-0086-0.

19.

Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle.

Khatkar MS, Moser G, Hayes BJ, Raadsma HW.

BMC Genomics. 2012 Oct 8;13:538. doi: 10.1186/1471-2164-13-538.

20.

Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers.

Su G, Guldbrandtsen B, Aamand GP, Strandén I, Lund MS.

Genet Sel Evol. 2014 Jul 30;46:47. doi: 10.1186/1297-9686-46-47.

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