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Items: 1 to 20 of 111


Parameters affecting genome simulation for evaluating genomic selection method.

Nishio M, Satoh M.

Anim Sci J. 2014 Oct;85(10):879-87. doi: 10.1111/asj.12224. Epub 2014 May 19.


The impact of genetic relationship information on genome-assisted breeding values.

Habier D, Fernando RL, Dekkers JC.

Genetics. 2007 Dec;177(4):2389-97.


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.


Long-term impacts of genome-enabled selection.

Long N, Gianola D, Rosa GJ, Weigel KA.

J Appl Genet. 2011 Nov;52(4):467-80. doi: 10.1007/s13353-011-0053-1. Epub 2011 May 17.


Genomic BLUP decoded: a look into the black box of genomic prediction.

Habier D, Fernando RL, Garrick DJ.

Genetics. 2013 Jul;194(3):597-607. doi: 10.1534/genetics.113.152207. Epub 2013 May 2.


Accuracy of genomic selection in simulated populations mimicking the extent of linkage disequilibrium in beef cattle.

Brito FV, Neto JB, Sargolzaei M, Cobuci JA, Schenkel FS.

BMC Genet. 2011 Sep 20;12:80. doi: 10.1186/1471-2156-12-80.


Impact of QTL minor allele frequency on genomic evaluation using real genotype data and simulated phenotypes in Japanese Black cattle.

Uemoto Y, Sasaki S, Kojima T, Sugimoto Y, Watanabe T.

BMC Genet. 2015 Nov 19;16:134. doi: 10.1186/s12863-015-0287-8.


The impact of genetic relationship information on genomic breeding values in German Holstein cattle.

Habier D, Tetens J, Seefried FR, Lichtner P, Thaller G.

Genet Sel Evol. 2010 Feb 19;42:5. doi: 10.1186/1297-9686-42-5.


The importance of identity-by-state information for the accuracy of genomic selection.

Luan T, Woolliams JA, Odegård J, Dolezal M, Roman-Ponce SI, Bagnato A, Meuwissen TH.

Genet Sel Evol. 2012 Aug 31;44:28. doi: 10.1186/1297-9686-44-28.


Allele frequency changes due to hitch-hiking in genomic selection programs.

Liu H, Sørensen AC, Meuwissen TH, Berg P.

Genet Sel Evol. 2014 Feb 4;46:8. doi: 10.1186/1297-9686-46-8.


Genomic prediction based on runs of homozygosity.

Luan T, Yu X, Dolezal M, Bagnato A, Meuwissen TH.

Genet Sel Evol. 2014 Oct 4;46:64. doi: 10.1186/s12711-014-0064-6.


Short communication: Characterization of the genome-wide linkage disequilibrium in 2 divergent selection lines of dairy cows.

Banos G, Coffey MP.

J Dairy Sci. 2010 Jun;93(6):2775-8. doi: 10.3168/jds.2009-2613.


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.


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.


The effect of linkage disequilibrium and family relationships on the reliability of genomic prediction.

Wientjes YC, Veerkamp RF, Calus MP.

Genetics. 2013 Feb;193(2):621-31. doi: 10.1534/genetics.112.146290. Epub 2012 Dec 24.


Genomic best linear unbiased prediction method reflecting the degree of linkage disequilibrium.

Nishio M, Satoh M.

J Anim Breed Genet. 2015 Oct;132(5):357-65. doi: 10.1111/jbg.12162. Epub 2015 Apr 12.


Different models of genetic variation and their effect on genomic evaluation.

Clark SA, Hickey JM, van der Werf JH.

Genet Sel Evol. 2011 May 17;43:18. doi: 10.1186/1297-9686-43-18.


Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a Barley case study.

Zhong S, Dekkers JC, Fernando RL, Jannink JL.

Genetics. 2009 May;182(1):355-64. doi: 10.1534/genetics.108.098277. Epub 2009 Mar 18.


Increasing long-term response by selecting for favorable minor alleles.

Sun C, VanRaden PM.

PLoS One. 2014 Feb 5;9(2):e88510. doi: 10.1371/journal.pone.0088510. eCollection 2014.

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