Riedelsheimer C - Search Results

1

Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments.

Windhausen VS, Atlin GN, Hickey JM, Crossa J, Jannink JL, Sorrells ME, Raman B, Cairns JE, Tarekegne A, Semagn K, Beyene Y, Grudloyma P, Technow F, Riedelsheimer C, Melchinger AE. Windhausen VS, et al. Among authors: riedelsheimer c. G3 (Bethesda). 2012 Nov;2(11):1427-36. doi: 10.1534/g3.112.003699. Epub 2012 Nov 1. G3 (Bethesda). 2012. PMID: 23173094 Free PMC article.

2

Genomic and metabolic prediction of complex heterotic traits in hybrid maize.

Riedelsheimer C, Czedik-Eysenberg A, Grieder C, Lisec J, Technow F, Sulpice R, Altmann T, Stitt M, Willmitzer L, Melchinger AE. Riedelsheimer C, et al. Nat Genet. 2012 Jan 15;44(2):217-20. doi: 10.1038/ng.1033. Nat Genet. 2012. PMID: 22246502

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: riedelsheimer c. 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

Comparison of whole-genome prediction models for traits with contrasting genetic architecture in a diversity panel of maize inbred lines.

Riedelsheimer C, Technow F, Melchinger AE. Riedelsheimer C, et al. BMC Genomics. 2012 Sep 4;13:452. doi: 10.1186/1471-2164-13-452. BMC Genomics. 2012. PMID: 22947126 Free PMC article.

5

Genomic predictability of interconnected biparental maize populations.

Riedelsheimer C, Endelman JB, Stange M, Sorrells ME, Jannink JL, Melchinger AE. Riedelsheimer C, et al. Genetics. 2013 Jun;194(2):493-503. doi: 10.1534/genetics.113.150227. Epub 2013 Mar 27. Genetics. 2013. PMID: 23535384 Free PMC article.

6

Optimizing the allocation of resources for genomic selection in one breeding cycle.

Riedelsheimer C, Melchinger AE. Riedelsheimer C, et al. Theor Appl Genet. 2013 Nov;126(11):2835-48. doi: 10.1007/s00122-013-2175-9. Epub 2013 Aug 27. Theor Appl Genet. 2013. PMID: 23982591

7

Forecasting the accuracy of genomic prediction with different selection targets in the training and prediction set as well as truncation selection.

Schopp P, Riedelsheimer C, Utz HF, Schön CC, Melchinger AE. Schopp P, et al. Among authors: riedelsheimer c. Theor Appl Genet. 2015 Nov;128(11):2189-201. doi: 10.1007/s00122-015-2577-y. Epub 2015 Aug 1. Theor Appl Genet. 2015. PMID: 26231985

8

Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize.

Riedelsheimer C, Lisec J, Czedik-Eysenberg A, Sulpice R, Flis A, Grieder C, Altmann T, Stitt M, Willmitzer L, Melchinger AE. Riedelsheimer C, et al. Proc Natl Acad Sci U S A. 2012 Jun 5;109(23):8872-7. doi: 10.1073/pnas.1120813109. Epub 2012 May 21. Proc Natl Acad Sci U S A. 2012. PMID: 22615396 Free PMC article.

9

Association mapping for chilling tolerance in elite flint and dent maize inbred lines evaluated in growth chamber and field experiments.

Strigens A, Freitag NM, Gilbert X, Grieder C, Riedelsheimer C, Schrag TA, Messmer R, Melchinger AE. Strigens A, et al. Among authors: riedelsheimer c. Plant Cell Environ. 2013 Oct;36(10):1871-87. doi: 10.1111/pce.12096. Epub 2013 May 13. Plant Cell Environ. 2013. PMID: 23488576 Free article.

10

The maize leaf lipidome shows multilevel genetic control and high predictive value for agronomic traits.

Riedelsheimer C, Brotman Y, Méret M, Melchinger AE, Willmitzer L. Riedelsheimer C, et al. Sci Rep. 2013;3:2479. doi: 10.1038/srep02479. Sci Rep. 2013. PMID: 23963398 Free PMC article.

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