Stewart E - Search Results

1

The Impact of Recombination Hotspots on Genome Evolution of a Fungal Plant Pathogen.

Croll D, Lendenmann MH, Stewart E, McDonald BA. Croll D, et al. Among authors: stewart e. Genetics. 2015 Nov;201(3):1213-28. doi: 10.1534/genetics.115.180968. Epub 2015 Sep 21. Genetics. 2015. PMID: 26392286 Free PMC article.

2

QTL mapping of temperature sensitivity reveals candidate genes for thermal adaptation and growth morphology in the plant pathogenic fungus Zymoseptoria tritici.

Lendenmann MH, Croll D, Palma-Guerrero J, Stewart EL, McDonald BA. Lendenmann MH, et al. Among authors: stewart el. Heredity (Edinb). 2016 Apr;116(4):384-94. doi: 10.1038/hdy.2015.111. Epub 2016 Jan 13. Heredity (Edinb). 2016. PMID: 26758189 Free PMC article.

3

Quantitative trait locus mapping of melanization in the plant pathogenic fungus Zymoseptoria tritici.

Lendenmann MH, Croll D, Stewart EL, McDonald BA. Lendenmann MH, et al. G3 (Bethesda). 2014 Oct 29;4(12):2519-33. doi: 10.1534/g3.114.015289. G3 (Bethesda). 2014. PMID: 25360032 Free PMC article.

4

Quantitative trait locus mapping reveals complex genetic architecture of quantitative virulence in the wheat pathogen Zymoseptoria tritici.

Stewart EL, Croll D, Lendenmann MH, Sanchez-Vallet A, Hartmann FE, Palma-Guerrero J, Ma X, McDonald BA. Stewart EL, et al. Mol Plant Pathol. 2018 Jan;19(1):201-216. doi: 10.1111/mpp.12515. Epub 2017 Feb 5. Mol Plant Pathol. 2018. PMID: 27868326 Free PMC article.

5

Measuring quantitative virulence in the wheat pathogen Zymoseptoria tritici using high-throughput automated image analysis.

Stewart EL, McDonald BA. Stewart EL, et al. Phytopathology. 2014 Sep;104(9):985-92. doi: 10.1094/PHYTO-11-13-0328-R. Phytopathology. 2014. PMID: 24624955 Free article.

6

An Improved Method for Measuring Quantitative Resistance to the Wheat Pathogen Zymoseptoria tritici Using High-Throughput Automated Image Analysis.

Stewart EL, Hagerty CH, Mikaberidze A, Mundt CC, Zhong Z, McDonald BA. Stewart EL, et al. Phytopathology. 2016 Jul;106(7):782-8. doi: 10.1094/PHYTO-01-16-0018-R. Epub 2016 May 13. Phytopathology. 2016. PMID: 27050574 Free article.

7

Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data.

Wiesner-Hanks T, Wu H, Stewart E, DeChant C, Kaczmar N, Lipson H, Gore MA, Nelson RJ. Wiesner-Hanks T, et al. Among authors: stewart e. Front Plant Sci. 2019 Dec 12;10:1550. doi: 10.3389/fpls.2019.01550. eCollection 2019. Front Plant Sci. 2019. PMID: 31921228 Free PMC article.

8

Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning.

DeChant C, Wiesner-Hanks T, Chen S, Stewart EL, Yosinski J, Gore MA, Nelson RJ, Lipson H. DeChant C, et al. Phytopathology. 2017 Nov;107(11):1426-1432. doi: 10.1094/PHYTO-11-16-0417-R. Epub 2017 Aug 24. Phytopathology. 2017. PMID: 28653579 Free article.

9

Genome-Wide Association Study for Maize Leaf Cuticular Conductance Identifies Candidate Genes Involved in the Regulation of Cuticle Development.

Lin M, Matschi S, Vasquez M, Chamness J, Kaczmar N, Baseggio M, Miller M, Stewart EL, Qiao P, Scanlon MJ, Molina I, Smith LG, Gore MA. Lin M, et al. G3 (Bethesda). 2020 May 4;10(5):1671-1683. doi: 10.1534/g3.119.400884. G3 (Bethesda). 2020. PMID: 32184371 Free PMC article.

10

Image set for deep learning: field images of maize annotated with disease symptoms.

Wiesner-Hanks T, Stewart EL, Kaczmar N, DeChant C, Wu H, Nelson RJ, Lipson H, Gore MA. Wiesner-Hanks T, et al. BMC Res Notes. 2018 Jul 3;11(1):440. doi: 10.1186/s13104-018-3548-6. BMC Res Notes. 2018. PMID: 29970178 Free PMC article.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

1,203 results

Search Page

Filters