Wimmer V - Search Results

1

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.

2

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

3

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

4

A heuristic method for fast and accurate phasing and imputation of single-nucleotide polymorphism data in bi-parental plant populations.

Gonen S, Wimmer V, Gaynor RC, Byrne E, Gorjanc G, Hickey JM. Gonen S, et al. Among authors: wimmer v. Theor Appl Genet. 2018 Nov;131(11):2345-2357. doi: 10.1007/s00122-018-3156-9. Epub 2018 Aug 4. Theor Appl Genet. 2018. PMID: 30078163 Free PMC article.

5

How do the type of QTL effect and the form of the residual term influence QTL detection in multi-parent populations? A case study in the maize EU-NAM population.

Garin V, Wimmer V, Mezmouk S, Malosetti M, van Eeuwijk F. Garin V, et al. Among authors: wimmer v. Theor Appl Genet. 2017 Aug;130(8):1753-1764. doi: 10.1007/s00122-017-2923-3. Epub 2017 May 25. Theor Appl Genet. 2017. PMID: 28547012 Free PMC article.

6

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

7

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

8

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials.

Jarquin D, Howard R, Crossa J, Beyene Y, Gowda M, Martini JWR, Covarrubias Pazaran G, Burgueño J, Pacheco A, Grondona M, Wimmer V, Prasanna BM. Jarquin D, et al. Among authors: wimmer v. G3 (Bethesda). 2020 Aug 5;10(8):2725-2739. doi: 10.1534/g3.120.401349. G3 (Bethesda). 2020. PMID: 32527748 Free PMC article.

9

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.

10

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

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