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Items: 1 to 50 of 147

1.

Milk mid-infrared spectral data as a tool to predict feed intake in lactating Norwegian Red dairy cows.

Wallén SE, Prestløkken E, Meuwissen THE, McParland S, Berry DP.

J Dairy Sci. 2018 Mar 28. pii: S0022-0302(18)30286-8. doi: 10.3168/jds.2017-13874. [Epub ahead of print]

PMID:
29605317
2.

Large-scale genomic prediction using singular value decomposition of the genotype matrix.

Ødegård J, Indahl U, Strandén I, Meuwissen THE.

Genet Sel Evol. 2018 Feb 28;50(1):6. doi: 10.1186/s12711-018-0373-2.

3.

Including crossbred pigs in the genomic relationship matrix through utilization of both linkage disequilibrium and linkage analysis.

Iversen MW, Nordbø Ø, Gjerlaug-Enger E, Grindflek E, Lopes MS, Meuwissen THE.

J Anim Sci. 2017 Dec;95(12):5197-5207. doi: 10.2527/jas2017.1705.

PMID:
29293760
4.

Variable selection models for genomic selection using whole-genome sequence data and singular value decomposition.

Meuwissen THE, Indahl UG, Ødegård J.

Genet Sel Evol. 2017 Dec 27;49(1):94. doi: 10.1186/s12711-017-0369-3.

5.

Use and optimization of different sources of information for genomic prediction.

Ilska JJ, Meuwissen THE, Kranis A, Woolliams JA.

Genet Sel Evol. 2017 Dec 11;49(1):90. doi: 10.1186/s12711-017-0365-7.

6.

Short communication: Genomic prediction using imputed whole-genome sequence variants in Brown Swiss Cattle.

Frischknecht M, Meuwissen THE, Bapst B, Seefried FR, Flury C, Garrick D, Signer-Hasler H, Stricker C; Intergenomics Consortium, Bieber A, Fries R, Russ I, Sölkner J, Bagnato A, Gredler-Grandl B.

J Dairy Sci. 2018 Feb;101(2):1292-1296. doi: 10.3168/jds.2017-12890. Epub 2017 Nov 15.

PMID:
29153527
7.

Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model.

Iheshiulor OOM, Woolliams JA, Svendsen M, Solberg T, Meuwissen THE.

Genet Sel Evol. 2017 Aug 24;49(1):63. doi: 10.1186/s12711-017-0339-9.

8.

Strategies for implementing genomic selection for feed efficiency in dairy cattle breeding schemes.

Wallén SE, Lillehammer M, Meuwissen THE.

J Dairy Sci. 2017 Aug;100(8):6327-6336. doi: 10.3168/jds.2016-11458. Epub 2017 Jun 7.

PMID:
28601446
9.

Application of a Bayesian dominance model improves power in quantitative trait genome-wide association analysis.

Bennewitz J, Edel C, Fries R, Meuwissen TH, Wellmann R.

Genet Sel Evol. 2017 Jan 14;49(1):7. doi: 10.1186/s12711-017-0284-7.

10.

Improving production efficiency in the presence of genotype by environment interactions in pig genomic selection breeding programmes.

Nirea KG, Meuwissen TH.

J Anim Breed Genet. 2017 Apr;134(2):119-128. doi: 10.1111/jbg.12250. Epub 2016 Dec 19.

PMID:
27990697
11.

Genetic relationships between boar feed efficiency and sow piglet production, body condition score, and stayability in Norwegian Landrace pigs.

Martinsen KH, Ødegård J, Aasmundstad T, Olsen D, Meuwissen TH.

J Anim Sci. 2016 Aug;94(8):3159-3168.

PMID:
27695777
12.

A fast Newton-Raphson based iterative algorithm for large scale optimal contribution selection.

Dagnachew BS, Meuwissen TH.

Genet Sel Evol. 2016 Sep 20;48(1):70. doi: 10.1186/s12711-016-0249-2.

13.

Response to selection while maximizing genetic variance in small populations.

Cervantes I, Gutiérrez JP, Meuwissen TH.

Genet Sel Evol. 2016 Sep 20;48(1):69. doi: 10.1186/s12711-016-0248-3.

14.

Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels.

Iheshiulor OO, Woolliams JA, Yu X, Wellmann R, Meuwissen TH.

Genet Sel Evol. 2016 Feb 19;48:15. doi: 10.1186/s12711-016-0193-1.

15.

Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP.

van den Berg S, Calus MP, Meuwissen TH, Wientjes YC.

BMC Genet. 2015 Dec 23;16:146. doi: 10.1186/s12863-015-0305-x.

16.

Use of field data in pig genomic selection schemes: a simulation study.

Lillehammer M, Sonesson AK, Meuwissen TH.

Animal. 2016 Jun;10(6):1025-32. doi: 10.1017/S1751731115002669. Epub 2015 Dec 2.

PMID:
26627382
17.

Genomic predictions based on animal models using genotype imputation on a national scale in Norwegian Red cattle.

Meuwissen TH, Svendsen M, Solberg T, Ødegård J.

Genet Sel Evol. 2015 Oct 13;47:79. doi: 10.1186/s12711-015-0159-8.

18.

Genetic variation in efficiency to deposit fat and lean meat in Norwegian Landrace and Duroc pigs.

Martinsen KH, Ødegård J, Olsen D, Meuwissen TH.

J Anim Sci. 2015 Aug;93(8):3794-800. doi: 10.2527/jas.2015-9174.

PMID:
26440158
19.

Comparative Analyses of QTLs Influencing Obesity and Metabolic Phenotypes in Pigs and Humans.

Pant SD, Karlskov-Mortensen P, Jacobsen MJ, Cirera S, Kogelman LJ, Bruun CS, Mark T, Jørgensen CB, Grarup N, Appel EV, Galjatovic EA, Hansen T, Pedersen O, Guerin M, Huby T, Lesnik P, Meuwissen TH, Kadarmideen HN, Fredholm M.

PLoS One. 2015 Sep 8;10(9):e0137356. doi: 10.1371/journal.pone.0137356. eCollection 2015.

20.

A computationally efficient algorithm for genomic prediction using a Bayesian model.

Wang T, Chen YP, Goddard ME, Meuwissen TH, Kemper KE, Hayes BJ.

Genet Sel Evol. 2015 Apr 30;47:34. doi: 10.1186/s12711-014-0082-4.

21.

Genetic analysis of longevity in Dutch dairy cattle using random regression.

van Pelt ML, Meuwissen TH, de Jong G, Veerkamp RF.

J Dairy Sci. 2015 Jun;98(6):4117-30. doi: 10.3168/jds.2014-9090. Epub 2015 Apr 16.

PMID:
25892695
22.

Identity-by-descent genomic selection using selective and sparse genotyping for binary traits.

Ødegård J, Meuwissen TH.

Genet Sel Evol. 2015 Feb 22;47:8. doi: 10.1186/s12711-015-0090-z.

23.

Accuracy of genomic selection for a sib-evaluated trait using identity-by-state and identity-by-descent relationships.

Vela-Avitúa S, Meuwissen TH, Luan T, Ødegård J.

Genet Sel Evol. 2015 Feb 25;47:9. doi: 10.1186/s12711-014-0084-2.

24.

Upweighting rare favourable alleles increases long-term genetic gain in genomic selection programs.

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

Genet Sel Evol. 2015 Mar 21;47:19. doi: 10.1186/s12711-015-0101-0.

25.

Genetic contributions and their optimization.

Woolliams JA, Berg P, Dagnachew BS, Meuwissen TH.

J Anim Breed Genet. 2015 Apr;132(2):89-99. doi: 10.1111/jbg.12148.

PMID:
25823835
26.

A unified approach to characterize and conserve adaptive and neutral genetic diversity in subdivided populations.

Wellmann R, Bennewitz J, Meuwissen TH.

Genet Res (Camb). 2014 Dec 16;96:e16. doi: 10.1017/S0016672314000196.

PMID:
25578300
27.

Genomic prediction in an admixed population of Atlantic salmon (Salmo salar).

Odegård J, Moen T, Santi N, Korsvoll SA, Kjøglum S, Meuwissen TH.

Front Genet. 2014 Nov 21;5:402. doi: 10.3389/fgene.2014.00402. eCollection 2014.

28.

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.

29.

On the distance of genetic relationships and the accuracy of genomic prediction in pig breeding.

Meuwissen TH, Odegard J, Andersen-Ranberg I, Grindflek E.

Genet Sel Evol. 2014 Aug 1;46:49. doi: 10.1186/1297-9686-46-49.

30.

Prioritizing animals for dense genotyping in order to impute missing genotypes of sparsely genotyped animals.

Yu X, Woolliams JA, Meuwissen TH.

Genet Sel Evol. 2014 Aug 26;46:46. doi: 10.1186/1297-9686-46-46.

31.

Investigations on the pattern of linkage disequilibrium and selection signatures in the genomes of German Piétrain pigs.

Stratz P, Wimmers K, Meuwissen TH, Bennewitz J.

J Anim Breed Genet. 2014 Dec;131(6):473-82. doi: 10.1111/jbg.12107. Epub 2014 Jul 21.

PMID:
25047461
32.

Estimates of missing heritability for complex traits in Brown Swiss cattle.

Román-Ponce SI, Samoré AB, Dolezal MA, Bagnato A, Meuwissen TH.

Genet Sel Evol. 2014 Jun 4;46:36. doi: 10.1186/1297-9686-46-36.

33.

Genomic predictions based on a joint reference population for the Nordic Red cattle breeds.

Zhou L, Heringstad B, Su G, Guldbrandtsen B, Meuwissen TH, Svendsen M, Grove H, Nielsen US, Lund MS.

J Dairy Sci. 2014 Jul;97(7):4485-96. doi: 10.3168/jds.2013-7580. Epub 2014 May 2.

34.

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.

35.

Identity-by-descent genomic selection using selective and sparse genotyping.

Odegård J, Meuwissen TH.

Genet Sel Evol. 2014 Jan 20;46:3. doi: 10.1186/1297-9686-46-3.

36.

A low-marker density implementation of genomic selection in aquaculture using within-family genomic breeding values.

Lillehammer M, Meuwissen TH, Sonesson AK.

Genet Sel Evol. 2013 Oct 15;45:39. doi: 10.1186/1297-9686-45-39.

37.

Genetic components of milk Fourier-transform infrared spectra used to predict breeding values for milk composition and quality traits in dairy goats.

Dagnachew BS, Meuwissen TH, Adnøy T.

J Dairy Sci. 2013 Sep;96(9):5933-42. doi: 10.3168/jds.2012-6068. Epub 2013 Jul 5.

PMID:
23831101
38.

Genomic selection for two traits in a maternal pig breeding scheme.

Lillehammer M, Meuwissen TH, Sonesson AK.

J Anim Sci. 2013 Jul;91(7):3079-87. doi: 10.2527/jas.2012-5113. Epub 2013 May 8.

PMID:
23658351
39.

Advantages of using molecular coancestry in the removal of introgressed genetic material.

Amador C, Fernández J, Meuwissen TH.

Genet Sel Evol. 2013 May 1;45:13. doi: 10.1186/1297-9686-45-13.

40.

Strategies for implementing genomic selection in family-based aquaculture breeding schemes: double haploid sib test populations.

Nirea KG, Sonesson AK, Woolliams JA, Meuwissen TH.

Genet Sel Evol. 2012 Oct 30;44:30. doi: 10.1186/1297-9686-44-30.

41.

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.

42.

Genomic selection requires genomic control of inbreeding.

Sonesson AK, Woolliams JA, Meuwissen TH.

Genet Sel Evol. 2012 Aug 16;44:27. doi: 10.1186/1297-9686-44-27.

43.

Estimation of heritability from limited family data using genome-wide identity-by-descent sharing.

Ødegård J, Meuwissen TH.

Genet Sel Evol. 2012 May 8;44:16. doi: 10.1186/1297-9686-44-16.

44.

Effect of non-random mating on genomic and BLUP selection schemes.

Nirea KG, Sonesson AK, Woolliams JA, Meuwissen TH.

Genet Sel Evol. 2012 Apr 11;44:11. doi: 10.1186/1297-9686-44-11.

45.

Prediction of a deletion copy number variant by a dense SNP panel.

Kadri NK, Koks PD, Meuwissen TH.

Genet Sel Evol. 2012 Mar 23;44:7. doi: 10.1186/1297-9686-44-7.

46.

Management of genetic diversity in small farm animal populations.

Fernández J, Meuwissen TH, Toro MA, Mäki-Tanila A.

Animal. 2011 Sep;5(11):1684-98. doi: 10.1017/S1751731111000930.

PMID:
22440408
47.

Assessing the genetic diversity in small farm animal populations.

Toro MA, Meuwissen TH, Fernández J, Shaat I, Mäki-Tanila A.

Animal. 2011 Sep;5(11):1669-83. doi: 10.1017/S1751731111000498.

PMID:
22440407
48.

Simultaneous estimation of daily weight and feed intake curves for growing pigs by random regression.

Wetten M, Ødegård J, Vangen O, Meuwissen TH.

Animal. 2012 Mar;6(3):433-9. doi: 10.1017/S1751731111001832.

PMID:
22436222
49.

Maximization of total genetic variance in breed conservation programmes.

Cervantes I, Meuwissen TH.

J Anim Breed Genet. 2011 Dec;128(6):465-72. doi: 10.1111/j.1439-0388.2011.00923.x. Epub 2011 Apr 25.

PMID:
22059580
50.

The unified approach to the use of genomic and pedigree information in genomic evaluations revisited.

Meuwissen TH, Luan T, Woolliams JA.

J Anim Breed Genet. 2011 Dec;128(6):429-39. doi: 10.1111/j.1439-0388.2011.00966.x. Epub 2011 Oct 7.

PMID:
22059576

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