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Items: 1 to 20 of 116

1.

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.

2.

Increasing imputation and prediction accuracy for Chinese Holsteins using joint Chinese-Nordic reference population.

Ma P, Lund MS, Ding X, Zhang Q, Su G.

J Anim Breed Genet. 2014 Dec;131(6):462-72. doi: 10.1111/jbg.12111. Epub 2014 Aug 6.

PMID:
25099946
3.

Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices.

Zhou L, Lund MS, Wang Y, Su G.

J Anim Breed Genet. 2014 Aug;131(4):249-57. doi: 10.1111/jbg.12089. Epub 2014 Apr 21.

PMID:
24750283
4.
5.

Accuracy of genomic prediction for milk production traits in the Chinese Holstein population using a reference population consisting of cows.

Ding X, Zhang Z, Li X, Wang S, Wu X, Sun D, Yu Y, Liu J, Wang Y, Zhang Y, Zhang S, Zhang Y, Zhang Q.

J Dairy Sci. 2013 Aug;96(8):5315-23. doi: 10.3168/jds.2012-6194. Epub 2013 Jun 5.

PMID:
23746588
6.

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.

7.

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.

8.

Effect of imputing markers from a low-density chip on the reliability of genomic breeding values in Holstein populations.

Dassonneville R, Brøndum RF, Druet T, Fritz S, Guillaume F, Guldbrandtsen B, Lund MS, Ducrocq V, Su G.

J Dairy Sci. 2011 Jul;94(7):3679-86. doi: 10.3168/jds.2011-4299.

PMID:
21700057
9.

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
10.

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.

11.

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.

12.

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.

13.

Short communication: Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations.

Li X, Lund MS, Zhang Q, Costa CN, Ducrocq V, Su G.

J Dairy Sci. 2016 Jun;99(6):4574-4579. doi: 10.3168/jds.2015-10609. Epub 2016 Mar 31.

14.

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
15.

Including different groups of genotyped females for genomic prediction in a Nordic Jersey population.

Gao H, Madsen P, Nielsen US, Aamand GP, Su G, Byskov K, Jensen J.

J Dairy Sci. 2015 Dec;98(12):9051-9. doi: 10.3168/jds.2015-9947. Epub 2015 Nov 11.

16.

Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.

Brøndum RF, Su G, Janss L, Sahana G, Guldbrandtsen B, Boichard D, Lund MS.

J Dairy Sci. 2015 Jun;98(6):4107-16. doi: 10.3168/jds.2014-9005. Epub 2015 Apr 16.

17.

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.

18.

Effect of genotyped cows in the reference population on the genomic evaluation of Holstein cattle.

Uemoto Y, Osawa T, Saburi J.

Animal. 2017 Mar;11(3):382-393. doi: 10.1017/S1751731116001762. Epub 2016 Aug 12.

PMID:
27515004
19.

Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population.

Gao H, Christensen OF, Madsen P, Nielsen US, Zhang Y, Lund MS, Su G.

Genet Sel Evol. 2012 Jul 6;44:8. doi: 10.1186/1297-9686-44-8.

20.

Genomic selection for tolerance to heat stress in Australian dairy cattle.

Nguyen TTT, Bowman PJ, Haile-Mariam M, Pryce JE, Hayes BJ.

J Dairy Sci. 2016 Apr;99(4):2849-2862. doi: 10.3168/jds.2015-9685.

PMID:
27037467

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