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Items: 11

1.

Using genomic relationship likelihood for parentage assignment.

Grashei KE, Ødegård J, Meuwissen THE.

Genet Sel Evol. 2018 May 18;50(1):26. doi: 10.1186/s12711-018-0397-7.

2.

Assessment of Fecal Near-infrared Spectroscopy to Predict Feces Chemical Composition and Apparent Total Tract Digestibility of Nutrients in Pigs.

Nirea KG, Pérez de Nanclares M, Skugor A, Afseth NK, Meuwissen THE, Hansen JØ, Mydland LT, Øverland M.

J Anim Sci. 2018 May 8. doi: 10.1093/jas/sky182. [Epub ahead of print]

PMID:
29741639
3.

Genetic effects of fatty acid composition in muscle of Atlantic salmon.

Horn SS, Ruyter B, Meuwissen THE, Hillestad B, Sonesson AK.

Genet Sel Evol. 2018 May 2;50(1):23. doi: 10.1186/s12711-018-0394-x.

4.

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
5.

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.

6.

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
7.

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.

8.

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.

9.

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
10.

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.

11.

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

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