Schrag TA - Search Results

1

High-resolution association mapping with libraries of immortalized lines from ancestral landraces.

Würschum T, Weiß TM, Renner J, Friedrich Utz H, Gierl A, Jonczyk R, Römisch-Margl L, Schipprack W, Schön CC, Schrag TA, Leiser WL, Melchinger AE. Würschum T, et al. Among authors: schrag ta. Theor Appl Genet. 2022 Jan;135(1):243-256. doi: 10.1007/s00122-021-03963-3. Epub 2021 Oct 20. Theor Appl Genet. 2022. PMID: 34668978 Free PMC article.

2

Prediction of single-cross hybrid performance in maize using haplotype blocks associated with QTL for grain yield.

Schrag TA, Maurer HP, Melchinger AE, Piepho HP, Peleman J, Frisch M. Schrag TA, et al. Theor Appl Genet. 2007 May;114(8):1345-55. doi: 10.1007/s00122-007-0521-5. Epub 2007 Feb 24. Theor Appl Genet. 2007. PMID: 17323040

3

Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects.

Technow F, Riedelsheimer C, Schrag TA, Melchinger AE. Technow F, et al. Among authors: schrag ta. Theor Appl Genet. 2012 Oct;125(6):1181-94. doi: 10.1007/s00122-012-1905-8. Epub 2012 Jun 26. Theor Appl Genet. 2012. PMID: 22733443

4

High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations.

Stange M, Utz HF, Schrag TA, Melchinger AE, Würschum T. Stange M, et al. Among authors: schrag ta. Theor Appl Genet. 2013 Oct;126(10):2563-74. doi: 10.1007/s00122-013-2155-0. Epub 2013 Jul 17. Theor Appl Genet. 2013. PMID: 23860723

5

Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.

Technow F, Schrag TA, Schipprack W, Bauer E, Simianer H, Melchinger AE. Technow F, et al. Among authors: schrag ta. Genetics. 2014 Aug;197(4):1343-55. doi: 10.1534/genetics.114.165860. Epub 2014 May 21. Genetics. 2014. PMID: 24850820 Free PMC article.

6

Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize.

Han S, Utz HF, Liu W, Schrag TA, Stange M, Würschum T, Miedaner T, Bauer E, Schön CC, Melchinger AE. Han S, et al. Among authors: schrag ta. Theor Appl Genet. 2016 Feb;129(2):431-44. doi: 10.1007/s00122-015-2637-3. Epub 2015 Dec 10. Theor Appl Genet. 2016. PMID: 26660464

7

The Genetic Basis of Haploid Induction in Maize Identified with a Novel Genome-Wide Association Method.

Hu H, Schrag TA, Peis R, Unterseer S, Schipprack W, Chen S, Lai J, Yan J, Prasanna BM, Nair SK, Chaikam V, Rotarenco V, Shatskaya OA, Zavalishina A, Scholten S, Schön CC, Melchinger AE. Hu H, et al. Among authors: schrag ta. Genetics. 2016 Apr;202(4):1267-76. doi: 10.1534/genetics.115.184234. Epub 2016 Feb 19. Genetics. 2016. PMID: 26896330 Free PMC article.

8

Low validation rate of quantitative trait loci for Gibberella ear rot resistance in European maize.

Brauner PC, Melchinger AE, Schrag TA, Utz HF, Schipprack W, Kessel B, Ouzunova M, Miedaner T. Brauner PC, et al. Among authors: schrag ta. Theor Appl Genet. 2017 Jan;130(1):175-186. doi: 10.1007/s00122-016-2802-3. Epub 2016 Oct 5. Theor Appl Genet. 2017. PMID: 27709251

9

Safeguarding Our Genetic Resources with Libraries of Doubled-Haploid Lines.

Melchinger AE, Schopp P, Müller D, Schrag TA, Bauer E, Unterseer S, Homann L, Schipprack W, Schön CC. Melchinger AE, et al. Among authors: schrag ta. Genetics. 2017 Jul;206(3):1611-1619. doi: 10.1534/genetics.115.186205. Epub 2017 May 3. Genetics. 2017. PMID: 28468909 Free PMC article.

10

Omics-based hybrid prediction in maize.

Westhues M, Schrag TA, Heuer C, Thaller G, Utz HF, Schipprack W, Thiemann A, Seifert F, Ehret A, Schlereth A, Stitt M, Nikoloski Z, Willmitzer L, Schön CC, Scholten S, Melchinger AE. Westhues M, et al. Among authors: schrag ta. Theor Appl Genet. 2017 Sep;130(9):1927-1939. doi: 10.1007/s00122-017-2934-0. Epub 2017 Jun 24. Theor Appl Genet. 2017. PMID: 28647896

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