Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 84

1.

Talbot-Lau x-ray phase-contrast setup for fast scanning of large samples.

Seifert M, Ludwig V, Kaeppler S, Horn F, Meyer P, Pelzer G, Rieger J, Sand D, Michel T, Mohr J, Riess C, Anton G.

Sci Rep. 2019 Mar 12;9(1):4199. doi: 10.1038/s41598-018-38030-3.

2.

Genome-wide association analysis of stalk biomass and anatomical traits in maize.

Mazaheri M, Heckwolf M, Vaillancourt B, Gage JL, Burdo B, Heckwolf S, Barry K, Lipzen A, Ribeiro CB, Kono TJY, Kaeppler HF, Spalding EP, Hirsch CN, Robin Buell C, de Leon N, Kaeppler SM.

BMC Plant Biol. 2019 Jan 31;19(1):45. doi: 10.1186/s12870-019-1653-x.

3.

A machine vision platform for measuring imbibition of maize kernels: quantification of genetic effects and correlations with germination.

Miller ND, Stelpflug SC, Kaeppler SM, Spalding EP.

Plant Methods. 2018 Dec 21;14:115. doi: 10.1186/s13007-018-0383-7. eCollection 2018.

4.

Candidate Variants for Additive and Interactive Effects on Bioenergy Traits in Switchgrass (Panicum virgatum L.) Identified by Genome-Wide Association Analyses.

Ramstein GP, Evans J, Nandety A, Saha MC, Brummer EC, Kaeppler SM, Buell CR, Casler MD.

Plant Genome. 2018 Nov;11(3). doi: 10.3835/plantgenome2018.01.0002.

5.

Selection Signatures Underlying Dramatic Male Inflorescence Transformation During Modern Hybrid Maize Breeding.

Gage JL, White MR, Edwards JW, Kaeppler S, de Leon N.

Genetics. 2018 Nov;210(3):1125-1138. doi: 10.1534/genetics.118.301487. Epub 2018 Sep 26.

6.

Quantitative Trait Locus Mapping for Flowering Time in a Lowland ├Ś Upland Switchgrass Pseudo-F2 Population.

Tornqvist CE, Taylor M, Jiang Y, Evans J, Buell CR, Kaeppler SM, Casler MD.

Plant Genome. 2018 Jul;11(2). doi: 10.3835/plantgenome2017.10.0093.

7.

Genetic Fine-Mapping of a Quantitative Trait Locus (QTL) Associated with Embryogenic Tissue Culture Response and Plant Regeneration Ability in Maize (Zea mays L.).

Salvo S, Cook J, Carlson AR, Hirsch CN, Kaeppler SM, Kaeppler HF.

Plant Genome. 2018 Jul;11(2). doi: 10.3835/plantgenome2017.12.0111.

8.

Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets.

AlKhalifah N, Campbell DA, Falcon CM, Gardiner JM, Miller ND, Romay MC, Walls R, Walton R, Yeh CT, Bohn M, Bubert J, Buckler ES, Ciampitti I, Flint-Garcia S, Gore MA, Graham C, Hirsch C, Holland JB, Hooker D, Kaeppler S, Knoll J, Lauter N, Lee EC, Lorenz A, Lynch JP, Moose SP, Murray SC, Nelson R, Rocheford T, Rodriguez O, Schnable JC, Scully B, Smith M, Springer N, Thomison P, Tuinstra M, Wisser RJ, Xu W, Ertl D, Schnable PS, De Leon N, Spalding EP, Edwards J, Lawrence-Dill CJ.

BMC Res Notes. 2018 Jul 9;11(1):452. doi: 10.1186/s13104-018-3508-1.

9.

Heritable Epigenomic Changes to the Maize Methylome Resulting from Tissue Culture.

Han Z, Crisp PA, Stelpflug S, Kaeppler SM, Li Q, Springer NM.

Genetics. 2018 Aug;209(4):983-995. doi: 10.1534/genetics.118.300987. Epub 2018 May 30.

PMID:
29848487
10.

Extensive Genetic Diversity is Present within North American Switchgrass Germplasm.

Evans J, Sanciangco MD, Lau KH, Crisovan E, Barry K, Daum C, Hundley H, Jenkins J, Kennedy M, Kunde-Ramamoorthy G, Vaillancourt B, Acharya A, Schmutz J, Saha M, Kaeppler SM, Brummer EC, Casler MD, Buell CR.

Plant Genome. 2018 Mar;11(1). doi: 10.3835/plantgenome2017.06.0055.

11.

Implementation of a Talbot-Lau interferometer in a clinical-like c-arm setup: A feasibility study.

Horn F, Leghissa M, Kaeppler S, Pelzer G, Rieger J, Seifert M, Wandner J, Weber T, Michel T, Riess C, Anton G.

Sci Rep. 2018 Feb 2;8(1):2325. doi: 10.1038/s41598-018-19482-z.

12.

Genotype-by-environment interactions affecting heterosis in maize.

Li Z, Coffey L, Garfin J, Miller ND, White MR, Spalding EP, de Leon N, Kaeppler SM, Schnable PS, Springer NM, Hirsch CN.

PLoS One. 2018 Jan 17;13(1):e0191321. doi: 10.1371/journal.pone.0191321. eCollection 2018.

13.

The effect of artificial selection on phenotypic plasticity in maize.

Gage JL, Jarquin D, Romay C, Lorenz A, Buckler ES, Kaeppler S, Alkhalifah N, Bohn M, Campbell DA, Edwards J, Ertl D, Flint-Garcia S, Gardiner J, Good B, Hirsch CN, Holland J, Hooker DC, Knoll J, Kolkman J, Kruger G, Lauter N, Lawrence-Dill CJ, Lee E, Lynch J, Murray SC, Nelson R, Petzoldt J, Rocheford T, Schnable J, Schnable PS, Scully B, Smith M, Springer NM, Srinivasan S, Walton R, Weldekidan T, Wisser RJ, Xu W, Yu J, de Leon N.

Nat Commun. 2017 Nov 7;8(1):1348. doi: 10.1038/s41467-017-01450-2.

14.

Improved reconstruction of phase-stepping data for Talbot-Lau x-ray imaging.

Kaeppler S, Rieger J, Pelzer G, Horn F, Michel T, Maier A, Anton G, Riess C.

J Med Imaging (Bellingham). 2017 Jul;4(3):034005. doi: 10.1117/1.JMI.4.3.034005. Epub 2017 Sep 5.

15.

High-energy x-ray Talbot-Lau radiography of a human knee.

Horn F, Gelse K, Jabari S, Hauke C, Kaeppler S, Ludwig V, Meyer P, Michel T, Mohr J, Pelzer G, Rieger J, Riess C, Seifert M, Anton G.

Phys Med Biol. 2017 Aug 1;62(16):6729-6745. doi: 10.1088/1361-6560/aa7721.

PMID:
28762340
16.

Suppression of CINNAMOYL-CoA REDUCTASE increases the level of monolignol ferulates incorporated into maize lignins.

Smith RA, Cass CL, Mazaheri M, Sekhon RS, Heckwolf M, Kaeppler H, de Leon N, Mansfield SD, Kaeppler SM, Sedbrook JC, Karlen SD, Ralph J.

Biotechnol Biofuels. 2017 May 2;10:109. doi: 10.1186/s13068-017-0793-1. eCollection 2017.

17.

TIPS: a system for automated image-based phenotyping of maize tassels.

Gage JL, Miller ND, Spalding EP, Kaeppler SM, de Leon N.

Plant Methods. 2017 Mar 31;13:21. doi: 10.1186/s13007-017-0172-8. eCollection 2017.

18.

Talbot-Lau X-ray phase contrast for tiling-based acquisitions without reference scanning.

Kaeppler S, Seifert M, Horn F, Pelzer G, Rieger J, Michel T, Maier A, Anton G, Riess C.

Med Phys. 2017 May;44(5):1886-1898. doi: 10.1002/mp.12200. Epub 2017 Apr 20.

PMID:
28276081
19.

DNA methylation and gene expression regulation associated with vascularization in Sorghum bicolor.

Turco GM, Kajala K, Kunde-Ramamoorthy G, Ngan CY, Olson A, Deshphande S, Tolkunov D, Waring B, Stelpflug S, Klein P, Schmutz J, Kaeppler S, Ware D, Wei CL, Etchells JP, Brady SM.

New Phytol. 2017 May;214(3):1213-1229. doi: 10.1111/nph.14448. Epub 2017 Feb 10.

20.

An Expanded Maize Gene Expression Atlas based on RNA Sequencing and its Use to Explore Root Development.

Stelpflug SC, Sekhon RS, Vaillancourt B, Hirsch CN, Buell CR, de Leon N, Kaeppler SM.

Plant Genome. 2016 Mar;9(1). doi: 10.3835/plantgenome2015.04.0025.

21.

Selection Signatures in Four Lignin Genes from Switchgrass Populations Divergently Selected for In Vitro Dry Matter Digestibility.

Chen S, Kaeppler SM, Vogel KP, Casler MD.

PLoS One. 2016 Nov 28;11(11):e0167005. doi: 10.1371/journal.pone.0167005. eCollection 2016.

22.

Draft Assembly of Elite Inbred Line PH207 Provides Insights into Genomic and Transcriptome Diversity in Maize.

Hirsch CN, Hirsch CD, Brohammer AB, Bowman MJ, Soifer I, Barad O, Shem-Tov D, Baruch K, Lu F, Hernandez AG, Fields CJ, Wright CL, Koehler K, Springer NM, Buckler E, Buell CR, de Leon N, Kaeppler SM, Childs KL, Mikel MA.

Plant Cell. 2016 Nov;28(11):2700-2714. Epub 2016 Nov 1.

23.

A robust, high-throughput method for computing maize ear, cob, and kernel attributes automatically from images.

Miller ND, Haase NJ, Lee J, Kaeppler SM, de Leon N, Spalding EP.

Plant J. 2017 Jan;89(1):169-178. doi: 10.1111/tpj.13320. Epub 2016 Nov 19.

24.

Optimisation of image reconstruction for phase-contrast x-ray Talbot-Lau imaging with regard to mechanical robustness.

Seifert M, Kaeppler S, Hauke C, Horn F, Pelzer G, Rieger J, Michel T, Riess C, Anton G.

Phys Med Biol. 2016 Sep 7;61(17):6441-64. doi: 10.1088/0031-9155/61/17/6441. Epub 2016 Aug 12.

PMID:
27514576
25.

Genome-wide associations with flowering time in switchgrass using exome-capture sequencing data.

Grabowski PP, Evans J, Daum C, Deshpande S, Barry KW, Kennedy M, Ramstein G, Kaeppler SM, Buell CR, Jiang Y, Casler MD.

New Phytol. 2017 Jan;213(1):154-169. doi: 10.1111/nph.14101. Epub 2016 Jul 22.

26.

Stover Composition in Maize and Sorghum Reveals Remarkable Genetic Variation and Plasticity for Carbohydrate Accumulation.

Sekhon RS, Breitzman MW, Silva RR, Santoro N, Rooney WL, de Leon N, Kaeppler SM.

Front Plant Sci. 2016 Jun 8;7:822. doi: 10.3389/fpls.2016.00822. eCollection 2016.

27.

Accuracy of Genomic Prediction in Switchgrass (Panicum virgatum L.) Improved by Accounting for Linkage Disequilibrium.

Ramstein GP, Evans J, Kaeppler SM, Mitchell RB, Vogel KP, Buell CR, Casler MD.

G3 (Bethesda). 2016 Apr 7;6(4):1049-62. doi: 10.1534/g3.115.024950.

28.

Evidence for maternal control of seed size in maize from phenotypic and transcriptional analysis.

Zhang X, Hirsch CN, Sekhon RS, de Leon N, Kaeppler SM.

J Exp Bot. 2016 Mar;67(6):1907-17. doi: 10.1093/jxb/erw006. Epub 2016 Jan 29.

29.

Diversity and population structure of northern switchgrass as revealed through exome capture sequencing.

Evans J, Crisovan E, Barry K, Daum C, Jenkins J, Kunde-Ramamoorthy G, Nandety A, Ngan CY, Vaillancourt B, Wei CL, Schmutz J, Kaeppler SM, Casler MD, Buell CR.

Plant J. 2015 Nov;84(4):800-15. doi: 10.1111/tpj.13041.

30.

Shared Genomic Regions Between Derivatives of a Large Segregating Population of Maize Identified Using Bulked Segregant Analysis Sequencing and Traditional Linkage Analysis.

Haase NJ, Beissinger T, Hirsch CN, Vaillancourt B, Deshpande S, Barry K, Buell CR, Kaeppler SM, de Leon N.

G3 (Bethesda). 2015 Jun 1;5(8):1593-602. doi: 10.1534/g3.115.017665.

31.

Autophagic recycling plays a central role in maize nitrogen remobilization.

Li F, Chung T, Pennington JG, Federico ML, Kaeppler HF, Kaeppler SM, Otegui MS, Vierstra RD.

Plant Cell. 2015 May;27(5):1389-408. doi: 10.1105/tpc.15.00158. Epub 2015 May 5.

32.

Defining window-boundaries for genomic analyses using smoothing spline techniques.

Beissinger TM, Rosa GJ, Kaeppler SM, Gianola D, de Leon N.

Genet Sel Evol. 2015 Apr 17;47:30. doi: 10.1186/s12711-015-0105-9.

33.

Image analysis of anatomical traits in stalk transections of maize and other grasses.

Heckwolf S, Heckwolf M, Kaeppler SM, de Leon N, Spalding EP.

Plant Methods. 2015 Apr 9;11:26. doi: 10.1186/s13007-015-0070-x. eCollection 2015.

34.

Cell-wall properties contributing to improved deconstruction by alkaline pre-treatment and enzymatic hydrolysis in diverse maize (Zea mays L.) lines.

Li M, Heckwolf M, Crowe JD, Williams DL, Magee TD, Kaeppler SM, de Leon N, Hodge DB.

J Exp Bot. 2015 Jul;66(14):4305-15. doi: 10.1093/jxb/erv016. Epub 2015 Feb 20.

35.

Genome-wide association analysis reveals new targets for carotenoid biofortification in maize.

Suwarno WB, Pixley KV, Palacios-Rojas N, Kaeppler SM, Babu R.

Theor Appl Genet. 2015 May;128(5):851-64. doi: 10.1007/s00122-015-2475-3. Epub 2015 Feb 18.

36.

Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.).

Foerster JM, Beissinger T, de Leon N, Kaeppler S.

Theor Appl Genet. 2015 Mar;128(3):529-38. doi: 10.1007/s00122-014-2451-3. Epub 2015 Jan 10.

PMID:
25575839
37.

Genetic perturbation of the maize methylome.

Li Q, Eichten SR, Hermanson PJ, Zaunbrecher VM, Song J, Wendt J, Rosenbaum H, Madzima TF, Sloan AE, Huang J, Burgess DL, Richmond TA, McGinnis KM, Meeley RB, Danilevskaya ON, Vaughn MW, Kaeppler SM, Jeddeloh JA, Springer NM.

Plant Cell. 2014 Dec;26(12):4602-16. doi: 10.1105/tpc.114.133140. Epub 2014 Dec 19.

38.

Whole transcriptome profiling of maize during early somatic embryogenesis reveals altered expression of stress factors and embryogenesis-related genes.

Salvo SA, Hirsch CN, Buell CR, Kaeppler SM, Kaeppler HF.

PLoS One. 2014 Oct 30;9(10):e111407. doi: 10.1371/journal.pone.0111407. eCollection 2014.

39.

Signal decomposition for X-ray dark-field imaging.

Kaeppler S, Bayer F, Weber T, Maier A, Anton G, Hornegger J, Beckmann M, Fasching PA, Hartmann A, Heindl F, Michel T, Oezguel G, Pelzer G, Rauh C, Rieger J, Schulz-Wendtland R, Uder M, Wachter D, Wenkel E, Riess C.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):170-7.

PMID:
25333115
40.

QTL mapping and phenotypic variation of root anatomical traits in maize (Zea mays L.).

Burton AL, Johnson J, Foerster J, Hanlon MT, Kaeppler SM, Lynch JP, Brown KM.

Theor Appl Genet. 2015 Jan;128(1):93-106. doi: 10.1007/s00122-014-2414-8. Epub 2014 Oct 19.

PMID:
25326723
41.

QTL mapping and phenotypic variation for root architectural traits in maize (Zea mays L.).

Burton AL, Johnson JM, Foerster JM, Hirsch CN, Buell CR, Hanlon MT, Kaeppler SM, Brown KM, Lynch JP.

Theor Appl Genet. 2014 Nov;127(11):2293-311. doi: 10.1007/s00122-014-2353-4. Epub 2014 Sep 18.

PMID:
25230896
42.

Insights into the effects of long-term artificial selection on seed size in maize.

Hirsch CN, Flint-Garcia SA, Beissinger TM, Eichten SR, Deshpande S, Barry K, McMullen MD, Holland JB, Buckler ES, Springer N, Buell CR, de Leon N, Kaeppler SM.

Genetics. 2014 Sep;198(1):409-21. doi: 10.1534/genetics.114.167155. Epub 2014 Jul 17.

43.

Consistent and heritable alterations of DNA methylation are induced by tissue culture in maize.

Stelpflug SC, Eichten SR, Hermanson PJ, Springer NM, Kaeppler SM.

Genetics. 2014 Sep;198(1):209-18. doi: 10.1534/genetics.114.165480. Epub 2014 Jul 14.

44.

Nucleotide polymorphism and copy number variant detection using exome capture and next-generation sequencing in the polyploid grass Panicum virgatum.

Evans J, Kim J, Childs KL, Vaillancourt B, Crisovan E, Nandety A, Gerhardt DJ, Richmond TA, Jeddeloh JA, Kaeppler SM, Casler MD, Buell CR.

Plant J. 2014 Sep;79(6):993-1008. doi: 10.1111/tpj.12601. Epub 2014 Aug 11.

45.

Phenotypic and Transcriptional Analysis of Divergently Selected Maize Populations Reveals the Role of Developmental Timing in Seed Size Determination.

Sekhon RS, Hirsch CN, Childs KL, Breitzman MW, Kell P, Duvick S, Spalding EP, Buell CR, de Leon N, Kaeppler SM.

Plant Physiol. 2014 Jun;165(2):658-669. Epub 2014 Apr 7.

46.

A near complete snapshot of the Zea mays seedling transcriptome revealed from ultra-deep sequencing.

Martin JA, Johnson NV, Gross SM, Schnable J, Meng X, Wang M, Coleman-Derr D, Lindquist E, Wei CL, Kaeppler S, Chen F, Wang Z.

Sci Rep. 2014 Mar 31;4:4519. doi: 10.1038/srep04519.

47.

Conserved transcriptional regulatory programs underlying rice and barley germination.

Lin L, Tian S, Kaeppler S, Liu Z, An YQ.

PLoS One. 2014 Feb 18;9(2):e87261. doi: 10.1371/journal.pone.0087261. eCollection 2014.

48.

Insights into the maize pan-genome and pan-transcriptome.

Hirsch CN, Foerster JM, Johnson JM, Sekhon RS, Muttoni G, Vaillancourt B, Pe├▒agaricano F, Lindquist E, Pedraza MA, Barry K, de Leon N, Kaeppler SM, Buell CR.

Plant Cell. 2014 Jan;26(1):121-35. doi: 10.1105/tpc.113.119982. Epub 2014 Jan 31.

49.

A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number.

Beissinger TM, Hirsch CN, Vaillancourt B, Deshpande S, Barry K, Buell CR, Kaeppler SM, Gianola D, de Leon N.

Genetics. 2014 Mar;196(3):829-40. doi: 10.1534/genetics.113.160655. Epub 2013 Dec 30.

50.

The genetic architecture of maize stalk strength.

Peiffer JA, Flint-Garcia SA, De Leon N, McMullen MD, Kaeppler SM, Buckler ES.

PLoS One. 2013 Jun 20;8(6):e67066. doi: 10.1371/journal.pone.0067066. Print 2013.

Supplemental Content

Loading ...
Support Center