Data/hora: 20/06/2024 14:41:41

Biblioteca(s): 	Embrapa Agricultura Digital.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 2	
Data corrente: 	13/08/2021	
Data da última atualização: 	10/03/2022	
Autoria: 	BOCK, C. H.; PETHYBRIDGE, S. J.; BARBEDO, J. G. A.; ESKER, P. D.; MAHLEIN, A. K.; DEL PONTE, E. M.	
Afiliação: 	CLIVE H. BOCK, USDA; SARAH J. PETHYBRIDGE, CORNELL AGRITECH; JAYME GARCIA ARNAL BARBEDO, CNPTIA; PAUL D. ESKER, PENNSYLVANIA STATE UNIVERSITY; ANNE-KATRIN MAHLEIN, INSTITUTE OF SUGAR BEET RESEARCH, GERMANY; EMERSON M. DEL PONTE, UFV.	
Título: 	A phytopathometry glossary for the twenty-first century: towards consistency and precision in intra- and inter-disciplinary dialogues.	
Ano de publicação: 	2022	
Fonte/Imprenta: 	Tropical Plant Pathology, v. 47, n. 1, p. 14-24, Feb. 2022.	
DOI: 	https://doi.org/10.1007/s40858-021-00454-0	
Idioma: 	Inglês	
Conteúdo: 	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 sensorbased 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.	
Palavras-Chave: 	Acurácia; Confiabilidade; Estimate; Fitopatologia; Fitopatometria; Imaging; Patologia de planta; Phytopathometry; Sensors; Severidade da doença; Visual.	
Thesagro: 	Doença de Planta.	
Thesaurus Nal: 	Accuracy; Disease severity; Measurement; Plant diseases and disorders; Plant pathology; Reliability.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (20932-1) - UPC - AP - DD -  -  -  - DIS