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Items: 1 to 20 of 146

1.

Short communication: genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows.

Tsuruta S, Misztal I, Lawlor TJ.

J Dairy Sci. 2013 May;96(5):3332-5. doi: 10.3168/jds.2012-6272. Epub 2013 Mar 8.

PMID:
23477821
2.

Assigning unknown parent groups to reduce bias in genomic evaluations of final score in US Holsteins.

Tsuruta S, Misztal I, Lourenco DA, Lawlor TJ.

J Dairy Sci. 2014 Sep;97(9):5814-21. doi: 10.3168/jds.2013-7821. Epub 2014 Jul 3.

PMID:
24997668
3.

A simple method for genomic selection of moderately sized dairy cattle populations.

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

Animal. 2012 Feb;6(2):193-202. doi: 10.1017/S1751731111001704.

PMID:
22436176
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.

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.

6.

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. Epub 2013 Jan 9.

PMID:
23312993
7.

Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins.

Tsuruta S, Misztal I, Aguilar I, Lawlor TJ.

J Dairy Sci. 2011 Aug;94(8):4198-204. doi: 10.3168/jds.2011-4256.

PMID:
21787955
8.

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

PMID:
24679931
9.

Technical note: adjustment of all cow evaluations for yield traits to be comparable with bull evaluations.

Wiggans GR, Vanraden PM, Cooper TA.

J Dairy Sci. 2012 Jun;95(6):3444-7. doi: 10.3168/jds.2011-5000.

PMID:
22612979
10.

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
11.

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. Epub 2014 Oct 30.

PMID:
25468702
12.

Short communication: Use of young bulls in the United States.

Hutchison JL, Cole JB, Bickhart DM.

J Dairy Sci. 2014 May;97(5):3213-20. doi: 10.3168/jds.2013-7525. Epub 2014 Mar 5.

PMID:
24612804
13.

Inclusion of cow records in genomic evaluations and impact on bias due to preferential treatment.

Dassonneville R, Baur A, Fritz S, Boichard D, Ducrocq V.

Genet Sel Evol. 2012 Dec 27;44:40. doi: 10.1186/1297-9686-44-40.

14.

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. Epub 2014 Jan 25.

15.

Genomic evaluation of a relatively small dairy cattle population by combination with a larger population.

Weller JI, Stoop WM, Eding H, Schrooten C, Ezra E.

J Dairy Sci. 2015 Jul;98(7):4945-55. doi: 10.3168/jds.2014-9086. Epub 2015 Apr 29.

PMID:
25935250
16.

Application of selection index calculations to determine selection strategies in genomic breeding programs.

König S, Swalve HH.

J Dairy Sci. 2009 Oct;92(10):5292-303. doi: 10.3168/jds.2009-2232.

PMID:
19762847
17.

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
18.

Single-step genomic model improved reliability and reduced the bias of genomic predictions in Danish Jersey.

Ma P, Lund MS, Nielsen US, Aamand GP, Su G.

J Dairy Sci. 2015 Dec;98(12):9026-34. doi: 10.3168/jds.2015-9703. Epub 2015 Nov 11.

19.

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
20.

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.

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