Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ethan L. Stewart"'
Autor:
Meng Lin, Susanne Matschi, Miguel Vasquez, James Chamness, Nicholas Kaczmar, Matheus Baseggio, Michael Miller, Ethan L. Stewart, Pengfei Qiao, Michael J. Scanlon, Isabel Molina, Laurie G. Smith, Michael A. Gore
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 5, Pp 1671-1683 (2020)
The cuticle, a hydrophobic layer of cutin and waxes synthesized by plant epidermal cells, is the major barrier to water loss when stomata are closed at night and under water-limited conditions. Elucidating the genetic architecture of natural variatio
Externí odkaz:
https://doaj.org/article/5f190a0c498e44b98a8a018fd84b6993
Autor:
Tyr Wiesner-Hanks, Ethan L. Stewart, Nicholas Kaczmar, Chad DeChant, Harvey Wu, Rebecca J. Nelson, Hod Lipson, Michael A. Gore
Publikováno v:
BMC Research Notes, Vol 11, Iss 1, Pp 1-3 (2018)
Abstract Objectives Automated detection and quantification of plant diseases would enable more rapid gains in plant breeding and faster scouting of farmers’ fields. However, it is difficult for a simple algorithm to distinguish between the target d
Externí odkaz:
https://doaj.org/article/141d4ae8ded24defb1c5cedad37a4eb1
Autor:
Ethan L. Stewart, Tyr Wiesner-Hanks, Nicholas Kaczmar, Chad DeChant, Harvey Wu, Hod Lipson, Rebecca J. Nelson, Michael A. Gore
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2209 (2019)
Plant disease poses a serious threat to global food security. Accurate, high-throughput methods of quantifying disease are needed by breeders to better develop resistant plant varieties and by researchers to better understand the mechanisms of plant
Externí odkaz:
https://doaj.org/article/6466428fd2b2453694970d841f304d81
Autor:
Isabel Molina, Michael G. Miller, Laurie G. Smith, Michael A. Gore, Miguel F. Vasquez, Michael J. Scanlon, Ethan L. Stewart, James Chamness, Matheus Baseggio, Nicholas Kaczmar, Susanne Matschi, Pengfei Qiao, Meng Lin
Publikováno v:
G3 (Bethesda, Md.), vol 10, iss 5
G3: Genes|Genomes|Genetics
G3: Genes, Genomes, Genetics, Vol 10, Iss 5, Pp 1671-1683 (2020)
G3: Genes|Genomes|Genetics
G3: Genes, Genomes, Genetics, Vol 10, Iss 5, Pp 1671-1683 (2020)
The cuticle, a hydrophobic layer of cutin and waxes synthesized by plant epidermal cells, is the major barrier to water loss when stomata are closed at night and under water-limited conditions. Elucidating the genetic architecture of natural variatio
Autor:
Tyr Wiesner-Hanks, Harvey Wu, Chad DeChant, Nicholas Kaczmar, Hod Lipson, Ethan L. Stewart, Rebecca Nelson, Michael A. Gore
Publikováno v:
The Plant Phenome Journal. 2:1-9
Autor:
Mark H. Lendenmann, Andrea Sánchez-Vallet, Daniel Croll, Bruce A. McDonald, Javier Palma-Guerrero, Ethan L. Stewart, Fanny E. Hartmann, Xin Ma
Publikováno v:
Molecular Plant Pathology. 19:201-216
Summary We conducted a comprehensive analysis of virulence in the fungal wheat pathogen Zymoseptoria tritici using quantitative trait locus (QTL) mapping. High-throughput phenotyping based on automated image analysis allowed the measurement of pathog
Autor:
Chad DeChant, Harvey Wu, Rebecca Nelson, Tyr Wiesner-Hanks, Ethan L. Stewart, Michael A. Gore, Hod Lipson, Nicholas Kaczmar
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2209 (2019)
Plant disease poses a serious threat to global food security. Accurate, high-throughput methods of quantifying disease are needed by breeders to better develop resistant plant varieties and by researchers to better understand the mechanisms of plant
Publikováno v:
Heredity. 116:384-394
Different thermal environments impose strong, differential selection on populations, leading to local adaptation, but the genetic basis of thermal adaptation is poorly understood. We used quantitative trait locus (QTL) mapping in the fungal wheat pat
Autor:
Ethan L. Stewart, Tyr Wiesner-Hanks, Rebecca Nelson, Chad DeChant, Nicholas Kaczmar, Hod Lipson, Harvey Wu, Michael A. Gore
Publikováno v:
BMC Research Notes
BMC Research Notes, Vol 11, Iss 1, Pp 1-3 (2018)
BMC Research Notes, Vol 11, Iss 1, Pp 1-3 (2018)
Objectives Automated detection and quantification of plant diseases would enable more rapid gains in plant breeding and faster scouting of farmers’ fields. However, it is difficult for a simple algorithm to distinguish between the target disease an
Autor:
Michael A. Gore, Siyuan Chen, Tyr Wiesner-Hanks, Hod Lipson, Chad DeChant, Ethan L. Stewart, Rebecca Nelson, Jason Yosinski
Publikováno v:
Phytopathology. 107(11)
Northern leaf blight (NLB) can cause severe yield loss in maize; however, scouting large areas to accurately diagnose the disease is time consuming and difficult. We demonstrate a system capable of automatically identifying NLB lesions in field-acqui