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Items: 1 to 20 of 443

1.

Accuracy of genomic predictions in Bos indicus (Nellore) cattle.

Neves HH, Carvalheiro R, O'Brien AM, Utsunomiya YT, do Carmo AS, Schenkel FS, Sölkner J, McEwan JC, Van Tassell CP, Cole JB, da Silva MV, Queiroz SA, Sonstegard TS, Garcia JF.

Genet Sel Evol. 2014 Feb 27;46:17. doi: 10.1186/1297-9686-46-17.

2.

Accuracies of direct genomic breeding values in Hereford beef cattle using national or international training populations.

Saatchi M, Ward J, Garrick DJ.

J Anim Sci. 2013 Apr;91(4):1538-51. doi: 10.2527/jas.2012-5593. Epub 2013 Jan 23.

3.

Accuracy of genomic breeding values for meat tenderness in Polled Nellore cattle.

Magnabosco CU, Lopes FB, Fragoso RC, Eifert EC, Valente BD, Rosa GJ, Sainz RD.

J Anim Sci. 2016 Jul;94(7):2752-60. doi: 10.2527/jas.2016-0279.

4.

Genomic prediction of breeding values for carcass traits in Nellore cattle.

Fernandes Júnior GA, Rosa GJ, Valente BD, Carvalheiro R, Baldi F, Garcia DA, Gordo DG, Espigolan R, Takada L, Tonussi RL, de Andrade WB, Magalhães AF, Chardulo LA, Tonhati H, de Albuquerque LG.

Genet Sel Evol. 2016 Jan 29;48:7. doi: 10.1186/s12711-016-0188-y.

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. Epub 2013 May 8.

6.

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.

7.

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.

8.
9.

Accuracy of genomic prediction using deregressed breeding values estimated from purebred and crossbred offspring phenotypes in pigs.

Hidalgo AM, Bastiaansen JW, Lopes MS, Veroneze R, Groenen MA, de Koning DJ.

J Anim Sci. 2015 Jul;93(7):3313-21. doi: 10.2527/jas.2015-8899.

10.

Comparison of Bayesian models to estimate direct genomic values in multi-breed commercial beef cattle.

Rolf MM, Garrick DJ, Fountain T, Ramey HR, Weaber RL, Decker JE, Pollak EJ, Schnabel RD, Taylor JF.

Genet Sel Evol. 2015 Apr 1;47:23. doi: 10.1186/s12711-015-0106-8.

11.

Genomic prediction for tick resistance in Braford and Hereford cattle.

Cardoso FF, Gomes CC, Sollero BP, Oliveira MM, Roso VM, Piccoli ML, Higa RH, Yokoo MJ, Caetano AR, Aguilar I.

J Anim Sci. 2015 Jun;93(6):2693-705. doi: 10.2527/jas.2014-8832.

12.

Model comparison on genomic predictions using high-density markers for different groups of bulls in the Nordic Holstein population.

Gao H, Su G, Janss L, Zhang Y, Lund MS.

J Dairy Sci. 2013 Jul;96(7):4678-87. doi: 10.3168/jds.2012-6406. Epub 2013 May 6.

13.

Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture.

Mehrban H, Lee DH, Moradi MH, IlCho C, Naserkheil M, Ibáñez-Escriche N.

Genet Sel Evol. 2017 Jan 4;49(1):1. doi: 10.1186/s12711-016-0283-0.

14.

Genomic prediction in French Charolais beef cattle using high-density single nucleotide polymorphism markers.

Gunia M, Saintilan R, Venot E, Hozé C, Fouilloux MN, Phocas F.

J Anim Sci. 2014 Aug;92(8):3258-69. doi: 10.2527/jas.2013-7478. Epub 2014 Jun 19.

15.

Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population.

Silva RM, Fragomeni BO, Lourenco DA, Magalhães AF, Irano N, Carvalheiro R, Canesin RC, Mercadante ME, Boligon AA, Baldi FS, Misztal I, Albuquerque LG.

J Anim Sci. 2016 Sep;94(9):3613-3623. doi: 10.2527/jas.2016-0401.

16.
17.

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. Epub 2012 Oct 24.

PMID:
23102955
18.

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.

19.

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.

20.

Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation.

Saatchi M, McClure MC, McKay SD, Rolf MM, Kim J, Decker JE, Taxis TM, Chapple RH, Ramey HR, Northcutt SL, Bauck S, Woodward B, Dekkers JC, Fernando RL, Schnabel RD, Garrick DJ, Taylor JF.

Genet Sel Evol. 2011 Nov 28;43:40. doi: 10.1186/1297-9686-43-40.

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