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Items: 1 to 20 of 302

1.

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.

PMID:
23746588
2.

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.

3.

Prediction of genomic breeding values for dairy traits in Italian Brown and Simmental bulls using a principal component approach.

Pintus MA, Gaspa G, Nicolazzi EL, Vicario D, Rossoni A, Ajmone-Marsan P, Nardone A, Dimauro C, Macciotta NP.

J Dairy Sci. 2012 Jun;95(6):3390-400. doi: 10.3168/jds.2011-4274.

PMID:
22612973
4.

Invited review: Genomic selection in dairy cattle: progress and challenges.

Hayes BJ, Bowman PJ, Chamberlain AJ, Goddard ME.

J Dairy Sci. 2009 Feb;92(2):433-43. doi: 10.3168/jds.2008-1646. Review. Erratum in: J Dairy Sci. 2009 Mar;92(3):1313.

PMID:
19164653
5.

Accuracy of prediction of genomic breeding values for residual feed intake and carcass and meat quality traits in Bos taurus, Bos indicus, and composite beef cattle.

Bolormaa S, Pryce JE, Kemper K, Savin K, Hayes BJ, Barendse W, Zhang Y, Reich CM, Mason BA, Bunch RJ, Harrison BE, Reverter A, Herd RM, Tier B, Graser HU, Goddard ME.

J Anim Sci. 2013 Jul;91(7):3088-104. doi: 10.2527/jas.2012-5827.

6.

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.

7.

Accuracy of predicting genomic breeding values for residual feed intake in Angus and Charolais beef cattle.

Chen L, Schenkel F, Vinsky M, Crews DH Jr, Li C.

J Anim Sci. 2013 Oct;91(10):4669-78. doi: 10.2527/jas.2013-5715.

8.

Comparison of methods for the implementation of genome-assisted evaluation of Spanish dairy cattle.

Jiménez-Montero JA, González-Recio O, Alenda R.

J Dairy Sci. 2013 Jan;96(1):625-34. doi: 10.3168/jds.2012-5631.

PMID:
23102955
9.

A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.

Moser G, Tier B, Crump RE, Khatkar MS, Raadsma HW.

Genet Sel Evol. 2009 Dec 31;41:56. doi: 10.1186/1297-9686-41-56.

10.

Contribution of domestic production records, Interbull estimated breeding values, and single nucleotide polymorphism genetic markers to the single-step genomic evaluation of milk production.

Přibyl J, Madsen P, Bauer J, Přibylová J, Simečková M, Vostrý L, Zavadilová L.

J Dairy Sci. 2013 Mar;96(3):1865-73. doi: 10.3168/jds.2012-6157.

PMID:
23312993
11.

Predictive ability of selected subsets of single nucleotide polymorphisms (SNPs) in a moderately sized dairy cattle population.

Weller JI, Glick G, Shirak A, Ezra E, Seroussi E, Shemesh M, Zeron Y, Ron M.

Animal. 2014 Feb;8(2):208-16. doi: 10.1017/S1751731113002188.

PMID:
24433958
12.

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
13.

Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses.

Lourenco DA, Misztal I, Tsuruta S, Aguilar I, Ezra E, Ron M, Shirak A, Weller JI.

J Dairy Sci. 2014 Mar;97(3):1742-52. doi: 10.3168/jds.2013-6916.

14.

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

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

J Dairy Sci. 2016 Apr;99(4):2849-62. doi: 10.3168/jds.2015-9685.

PMID:
27037467
15.

Application of Bayesian least absolute shrinkage and selection operator (LASSO) and BayesCπ methods for genomic selection in French Holstein and Montbéliarde breeds.

Colombani C, Legarra A, Fritz S, Guillaume F, Croiseau P, Ducrocq V, Robert-Granié C.

J Dairy Sci. 2013 Jan;96(1):575-91. doi: 10.3168/jds.2011-5225.

PMID:
23127905
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.

The value of cows in reference populations for genomic selection of new functional traits.

Buch LH, Kargo M, Berg P, Lassen J, Sørensen AC.

Animal. 2012 Jun;6(6):880-6. doi: 10.1017/S1751731111002205.

PMID:
22558957
18.

Genomic prediction for Nordic Red Cattle using one-step and selection index blending.

Su G, Madsen P, Nielsen US, Mäntysaari EA, Aamand GP, Christensen OF, Lund MS.

J Dairy Sci. 2012 Feb;95(2):909-17. doi: 10.3168/jds.2011-4804.

19.

Application of genomic evaluation to dairy cattle in New Zealand.

Winkelman AM, Johnson DL, Harris BL.

J Dairy Sci. 2015 Jan;98(1):659-75. doi: 10.3168/jds.2014-8560.

PMID:
25468702
20.

Preliminary investigation on reliability of genomic estimated breeding values in the Danish Holstein population.

Su G, Guldbrandtsen B, Gregersen VR, Lund MS.

J Dairy Sci. 2010 Mar;93(3):1175-83. doi: 10.3168/jds.2009-2192.

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