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Results: 1 to 20 of 154

1.

Breeding and Genetics Symposium: really big data: processing and analysis of very large data sets.

Cole JB, Newman S, Foertter F, Aguilar I, Coffey M.

J Anim Sci. 2012 Mar;90(3):723-33. doi: 10.2527/jas.2011-4584. Epub 2011 Nov 18.

PMID:
22100598
[PubMed - indexed for MEDLINE]
Free Article
2.

Fine tuning genomic evaluations in dairy cattle through SNP pre-selection with the Elastic-Net algorithm.

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

Genet Res (Camb). 2011 Dec;93(6):409-17. doi: 10.1017/S0016672311000358.

PMID:
22189606
[PubMed - indexed for MEDLINE]
3.

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.

PMID:
20043835
[PubMed - indexed for MEDLINE]
Free PMC Article
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
[PubMed - indexed for MEDLINE]
5.

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.

PMID:
22281355
[PubMed - indexed for MEDLINE]
Free Article
6.

Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.

Aguilar I, Misztal I, Johnson DL, Legarra A, Tsuruta S, Lawlor TJ.

J Dairy Sci. 2010 Feb;93(2):743-52. doi: 10.3168/jds.2009-2730.

PMID:
20105546
[PubMed - indexed for MEDLINE]
Free Article
7.

The genomic evaluation system in the United States: past, present, future.

Wiggans GR, Vanraden PM, Cooper TA.

J Dairy Sci. 2011 Jun;94(6):3202-11. doi: 10.3168/jds.2010-3866.

PMID:
21605789
[PubMed - indexed for MEDLINE]
8.

Effect of enlarging the reference population with (un)genotyped animals on the accuracy of genomic selection in dairy cattle.

Pszczola M, Mulder HA, Calus MP.

J Dairy Sci. 2011 Jan;94(1):431-41. doi: 10.3168/jds.2009-2840.

PMID:
21183054
[PubMed - indexed for MEDLINE]
9.

Imputation of genotypes with low-density chips and its effect on reliability of direct genomic values in Dutch Holstein cattle.

Mulder HA, Calus MP, Druet T, Schrooten C.

J Dairy Sci. 2012 Feb;95(2):876-89. doi: 10.3168/jds.2011-4490.

PMID:
22281352
[PubMed - indexed for MEDLINE]
10.

Genomic breeding value estimation using genetic markers, inferred ancestral haplotypes, and the genomic relationship matrix.

de Roos AP, Schrooten C, Druet T.

J Dairy Sci. 2011 Sep;94(9):4708-14. doi: 10.3168/jds.2010-3905.

PMID:
21854945
[PubMed - indexed for MEDLINE]
11.

Impact of reduced marker set estimation of genomic relationship matrices on genomic selection for feed efficiency in Angus cattle.

Rolf MM, Taylor JF, Schnabel RD, McKay SD, McClure MC, Northcutt SL, Kerley MS, Weaber RL.

BMC Genet. 2010 Apr 19;11:24. doi: 10.1186/1471-2156-11-24.

PMID:
20403185
[PubMed - indexed for MEDLINE]
Free PMC Article
12.

Increased accuracy of artificial selection by using the realized relationship matrix.

Hayes BJ, Visscher PM, Goddard ME.

Genet Res (Camb). 2009 Feb;91(1):47-60. doi: 10.1017/S0016672308009981. Erratum in: Genet Res. 2009 Apr;91(2):143.

PMID:
19220931
[PubMed - indexed for MEDLINE]
13.

Associations of marker panel scores with feed intake and efficiency traits in beef cattle using preselected single nucleotide polymorphisms.

Mujibi FD, Nkrumah JD, Durunna ON, Grant JR, Mah J, Wang Z, Basarab J, Plastow G, Crews DH Jr, Moore SS.

J Anim Sci. 2011 Nov;89(11):3362-71. doi: 10.2527/jas.2010-3362. Epub 2011 Jun 3.

PMID:
21642494
[PubMed - indexed for MEDLINE]
Free Article
14.

Are evaluations on young genotyped animals benefiting from the past generations?

Lourenco DA, Misztal I, Tsuruta S, Aguilar I, Lawlor TJ, Forni S, Weller JI.

J Dairy Sci. 2014 Jun;97(6):3930-42. doi: 10.3168/jds.2013-7769. Epub 2014 Mar 27.

PMID:
24679931
[PubMed - in process]
15.

Accuracy of genomic prediction using low-density marker panels.

Zhang Z, Ding X, Liu J, Zhang Q, de Koning DJ.

J Dairy Sci. 2011 Jul;94(7):3642-50. doi: 10.3168/jds.2010-3917.

PMID:
21700054
[PubMed - indexed for MEDLINE]
16.

Different methods to calculate genomic predictions--comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the one-step approach (H-BLUP).

Koivula M, Strandén I, Su G, Mäntysaari EA.

J Dairy Sci. 2012 Jul;95(7):4065-73. doi: 10.3168/jds.2011-4874.

PMID:
22720963
[PubMed - indexed for MEDLINE]
17.

The accuracy of Genomic Selection in Norwegian red cattle assessed by cross-validation.

Luan T, Woolliams JA, Lien S, Kent M, Svendsen M, Meuwissen TH.

Genetics. 2009 Nov;183(3):1119-26. doi: 10.1534/genetics.109.107391. Epub 2009 Aug 24.

PMID:
19704013
[PubMed - indexed for MEDLINE]
Free PMC Article
18.

Marker-assisted breeding value estimation for mastitis resistance in Finnish Ayrshire cattle.

Mulder HA, Lidauer MH, Vilkki JH, Strandén I, Veerkamp RF.

J Dairy Sci. 2011 Aug;94(8):4164-73. doi: 10.3168/jds.2010-4112.

PMID:
21787951
[PubMed - indexed for MEDLINE]
19.

Breeding and Genetics Symposium: networks and pathways to guide genomic selection.

Snelling WM, Cushman RA, Keele JW, Maltecca C, Thomas MG, Fortes MR, Reverter A.

J Anim Sci. 2013 Feb;91(2):537-52. doi: 10.2527/jas.2012-5784. Epub 2012 Oct 24.

PMID:
23097404
[PubMed - indexed for MEDLINE]
Free Article
20.

Genetic evaluation of dairy cattle using a simple heritable genetic ground.

Pribyl J, Rehout V, Citek J, Pribylova J.

J Sci Food Agric. 2010 Aug 30;90(11):1765-73. doi: 10.1002/jsfa.4041. Review.

PMID:
20564310
[PubMed - indexed for MEDLINE]

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