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5 results on '"Randall J. Wisser"'

3. Erratum to: Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds

Author

Celeste M. Falcon, Shawn M. Kaeppler, Edgar P. Spalding, Nathan D. Miller, Nicholas Haase, Naser AlKhalifah, Martin Bohn, Edward S. Buckler, Darwin A. Campbell, Ignacio Ciampitti, Lisa Coffey, Jode Edwards, David Ertl, Sherry Flint‐Garcia, Michael A. Gore, Christopher Graham, Candice N. Hirsch, James B. Holland, Diego Jarquín, Joseph Knoll, Nick Lauter, Carolyn J. Lawrence‐Dill, Elizabeth C. Lee, Aaron Lorenz, Jonathan P. Lynch, Seth C. Murray, Rebecca Nelson, M. Cinta Romay, Torbert Rocheford, Patrick S. Schnable, Brian Scully, Margaret Smith, Nathan Springer, Mitchell R. Tuinstra, Renee Walton, Teclemariam Weldekidan, Randall J. Wisser, Wenwei Xu, and Natalia de Leon

Subjects
Agronomy and Crop Science
Published
2022
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4. Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds

Author

Shawn M. Kaeppler, Torbert Rocheford, Nicholas J. Haase, Diego Jarquin, Renee Walton, Sherry Flint-Garcia, Randall J. Wisser, Nick Lauter, Margaret E. Smith, Martin O. Bohn, Celeste M. Falcon, Carolyn J. Lawrence-Dill, Aaron J. Lorenz, Jode W. Edwards, Jonathan P. Lynch, Natalia de Leon, M. Cinta Romay, Ignacio A. Ciampitti, David S. Ertl, James B. Holland, Elizabeth C. Lee, Nathan D. Miller, Lisa Coffey, Brian T. Scully, Seth C. Murray, Nathan M. Springer, Wenwei Xu, Rebecca Nelson, Edgar P. Spalding, Patrick S. Schnable, Mitchell R. Tuinstra, Edward S. Buckler, Christopher Graham, Darwin A. Campbell, Teclemariam Weldekidan, Naser Alkhalifah, Joseph E. Knoll, Michael A. Gore, and Candice N. Hirsch

Subjects
0106 biological sciences, Agronomy, Relative utility, Phenology, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, Biology, Gene–environment interaction, 01 natural sciences, Agronomy and Crop Science, 010606 plant biology & botany
Published
2020
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5. Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens

Author

Katharine R. Minker, Randall J. Wisser, Meredith L. Biedrzycki, Samuel S. Jacobs, Tiffany M. Jamann, Chandra Kambhamettu, Stephen Rhein, Rebecca Nelson, Qin Yang, Fabiano José Perina, Peter J. Balint-Kurti, Jeffrey L. Caplan, Abhishek Kolagunda, and Michael J. Moore

Subjects
0301 basic medicine, Fluorescence-lifetime imaging microscopy, Pathology, medicine.medical_specialty, Histology, biology, Sample processing, Image processing, Computational biology, Cochliobolus heterostrophus, biology.organism_classification, law.invention, 03 medical and health sciences, Medical Laboratory Technology, 030104 developmental biology, Confocal imaging, Confocal microscopy, law, medicine, Anatomy, Tissue autofluorescence, Instrumentation, Fungal pathogenesis
Abstract

The study of phenotypic variation in plant pathogenesis provides fundamental information about the nature of disease resistance. Cellular mechanisms that alter pathogenesis can be elucidated with confocal microscopy; however, systematic phenotyping platforms-from sample processing to image analysis-to investigate this do not exist. We have developed a platform for 3D phenotyping of cellular features underlying variation in disease development by fluorescence-specific resolution of host and pathogen interactions across time (4D). A confocal microscopy phenotyping platform compatible with different maize-fungal pathosystems (fungi: Setosphaeria turcica, Cochliobolus heterostrophus, and Cercospora zeae-maydis) was developed. Protocols and techniques were standardized for sample fixation, optical clearing, species-specific combinatorial fluorescence staining, multisample imaging, and image processing for investigation at the macroscale. The sample preparation methods presented here overcome challenges to fluorescence imaging such as specimen thickness and topography as well as physiological characteristics of the samples such as tissue autofluorescence and presence of cuticle. The resulting imaging techniques provide interesting qualitative and quantitative information not possible with conventional light or electron 2D imaging. Microsc. Res. Tech., 81:141-152, 2018. © 2016 Wiley Periodicals, Inc.

Published
2016
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