| Full text | |
| Author(s): |
Bock, Clive H.
[1]
;
Pethybridge, Sarah J.
[2]
;
Barbedo, Jayme G. A.
[3]
;
Esker, Paul D.
[4]
;
Mahlein, Anne-Katrin
[5]
;
Del Ponte, Emerson M.
[6]
Total Authors: 6
|
| Affiliation: | [1] USDA ARS, Southeastern Fruit & Tree Nut Res Stn, Byron, GA 31008 - USA
[2] Cornell AgriTech, Plant Pathol & Plant Microbe Biol Sect, Sch Integrat Plant Sci, Geneva, NY 14456 - USA
[3] Embrapa Agr Informat, BR-13083886 Campinas, SP - Brazil
[4] Penn State Univ, Dept Plant Pathol & Environm Microbiol, University Pk, PA 16802 - USA
[5] Inst Sugar Beet Res, Holtenser Landstr 77, D-37079 Gottingen - Germany
[6] Univ Fed Vicosa, Dept Fitopatol, BR-36570900 Vicosa, MG - Brazil
Total Affiliations: 6
|
| Document type: | Review article |
| Source: | TROPICAL PLANT PATHOLOGY; AUG 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Phytopathometry can be defined as the branch of plant pathology (phytopathology) that is concerned with estimation or measurement of the amount of plant disease expressed by symptoms of disease or signs of a pathogen on a single or group of specimens. Phytopathometry is critical for many reasons, including analyzing yield loss due to disease, breeding for disease resistance, evaluating and comparing disease control methods, understanding coevolution, and studying disease epidemiology and pathogen ecology. Phytopathometry underpins all activities in plant pathology and extends into related disciplines, such as agronomy, horticulture, and plant breeding. Considering this central role, phytopathometry warrants status as a formally recognized branch of plant pathology. The glossary defines terms and concepts used in phytopathometry based on disease symptoms or visible pathogen structures and includes those terms commonly used in the visual estimation of disease severity and sensor-based methods of disease measurement. Relevant terms from the intersecting disciplines of measurement science, statistics, psychophysics, robotics, and artificial intelligence are also included. In particular, a new, broader definition is proposed for ``disease severity,{''} and the terms ``disease measurement{''} and ``disease estimate{''} are specifically defined. It is hoped that the glossary contributes to a more unified cross-discipline approach to research in, and application of the tools available to phytopathometry. (AU) | |
| FAPESP's process: | 13/06884-8 - Automatic disease diagnosis in plants using digital images |
| Grantee: | Jayme Garcia Arnal Barbedo |
| Support Opportunities: | Regular Research Grants |