TY - JOUR
T1 - A phytopathometry glossary for the twenty-first century
T2 - towards consistency and precision in intra- and inter-disciplinary dialogues
AU - Bock, Clive H.
AU - Pethybridge, Sarah J.
AU - Barbedo, Jayme G.A.
AU - Esker, Paul D.
AU - Mahlein, Anne Katrin
AU - Del Ponte, Emerson M.
N1 - Funding Information:
Clive H. Bock was funded by the USDA-ARS National Programs through CRIS project 6042-21220-014-00. Sarah J. Pethybridge was supported by the United States Department of Agriculture National Institute of Food and Agriculture (USDA-NIFA) Hatch project NYG-625424. Jayme G. A. Barbedo was supported by the Brazilian Agricultural Research Corporation — Embrapa (SEG 02.14.09.001.00.00) and by the São Paulo Research Foundation — FAPESP (proc. 2013/06884-8). Paul D. Esker was funded by the USDA National Institute of Food and Federal Appropriations under Project PEN04660 and Accession Number 1016474. Anne-Katrin Mahlein was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—EXC 2070-390732324 and the Farmerspace project which is supported by funds of the Federal Ministry of Food and Agriculture (BMEL) based on a decision of the Parliament of the Federal Republic of Germany. The Federal Office for Agriculture and Food (BLE) provides coordinating support for digitalization in agriculture as a funding organization, grant number FZK 28DE104A18. Emerson M. Del Ponte was supported by the National Council for Scientific and Technological Development (CNPq) through a Productivity Research Fellowship (PQ) project 310208/2019-0.
Publisher Copyright:
© 2021, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.
PY - 2022/2
Y1 - 2022/2
N2 - 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.
AB - 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.
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U2 - 10.1007/s40858-021-00454-0
DO - 10.1007/s40858-021-00454-0
M3 - Review article
AN - SCOPUS:85111898454
SN - 1982-5676
VL - 47
SP - 14
EP - 24
JO - Tropical Plant Pathology
JF - Tropical Plant Pathology
IS - 1
ER -