Wimmer V - Search Results

1

Sensitivity to prior specification in Bayesian genome-based prediction models.

Lehermeier C, Wimmer V, Albrecht T, Auinger HJ, Gianola D, Schmid VJ, Schön CC. Lehermeier C, et al. Among authors: wimmer v. Stat Appl Genet Mol Biol. 2013 Jun;12(3):375-91. doi: 10.1515/sagmb-2012-0042. Stat Appl Genet Mol Biol. 2013. PMID: 23629460

2

Genome-based prediction of testcross values in maize.

Albrecht T, Wimmer V, Auinger HJ, Erbe M, Knaak C, Ouzunova M, Simianer H, Schön CC. Albrecht T, et al. Among authors: wimmer v. Theor Appl Genet. 2011 Jul;123(2):339-50. doi: 10.1007/s00122-011-1587-7. Epub 2011 Apr 20. Theor Appl Genet. 2011. PMID: 21505832

3

Genome-wide prediction of traits with different genetic architecture through efficient variable selection.

Wimmer V, Lehermeier C, Albrecht T, Auinger HJ, Wang Y, Schön CC. Wimmer V, et al. Genetics. 2013 Oct;195(2):573-87. doi: 10.1534/genetics.113.150078. Epub 2013 Aug 9. Genetics. 2013. PMID: 23934883 Free PMC article.

4

Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years.

Albrecht T, Auinger HJ, Wimmer V, Ogutu JO, Knaak C, Ouzunova M, Piepho HP, Schön CC. Albrecht T, et al. Among authors: wimmer v. Theor Appl Genet. 2014 Jun;127(6):1375-86. doi: 10.1007/s00122-014-2305-z. Epub 2014 Apr 11. Theor Appl Genet. 2014. PMID: 24723140

5

Improving resistance to the European corn borer: a comprehensive study in elite maize using QTL mapping and genome-wide prediction.

Foiada F, Westermeier P, Kessel B, Ouzunova M, Wimmer V, Mayerhofer W, Presterl T, Dilger M, Kreps R, Eder J, Schön CC. Foiada F, et al. Among authors: wimmer v. Theor Appl Genet. 2015 May;128(5):875-91. doi: 10.1007/s00122-015-2477-1. Epub 2015 Mar 11. Theor Appl Genet. 2015. PMID: 25758357

6

synbreed: a framework for the analysis of genomic prediction data using R.

Wimmer V, Albrecht T, Auinger HJ, Schön CC. Wimmer V, et al. Bioinformatics. 2012 Aug 1;28(15):2086-7. doi: 10.1093/bioinformatics/bts335. Epub 2012 Jun 10. Bioinformatics. 2012. PMID: 22689388

7

Genomic variance estimates: With or without disequilibrium covariances?

Lehermeier C, de Los Campos G, Wimmer V, Schön CC. Lehermeier C, et al. Among authors: wimmer v. J Anim Breed Genet. 2017 Jun;134(3):232-241. doi: 10.1111/jbg.12268. J Anim Breed Genet. 2017. PMID: 28508483

8

Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE).

Martini JW, Gao N, Cardoso DF, Wimmer V, Erbe M, Cantet RJ, Simianer H. Martini JW, et al. Among authors: wimmer v. BMC Bioinformatics. 2017 Jan 3;18(1):3. doi: 10.1186/s12859-016-1439-1. BMC Bioinformatics. 2017. PMID: 28049412 Free PMC article.

9

Epistasis and covariance: how gene interaction translates into genomic relationship.

Martini JW, Wimmer V, Erbe M, Simianer H. Martini JW, et al. Among authors: wimmer v. Theor Appl Genet. 2016 May;129(5):963-76. doi: 10.1007/s00122-016-2675-5. Epub 2016 Feb 16. Theor Appl Genet. 2016. PMID: 26883048

10

Assessing the response to genomic selection by simulation.

Buntaran H, Bernal-Vasquez AM, Gordillo A, Sahr M, Wimmer V, Piepho HP. Buntaran H, et al. Among authors: wimmer v. Theor Appl Genet. 2022 Aug;135(8):2891-2905. doi: 10.1007/s00122-022-04157-1. Epub 2022 Jul 14. Theor Appl Genet. 2022. PMID: 35831462 Free PMC article.

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