Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data
New concepts in phytopathometry continue to emerge, such as the evolution of the concept of pathogen intensity versus the well-established concept of disease intensity. The concept of pathogen severity, defined as the quantitative measurement of the amount of pathogen per sampling unit has also emer...
| Autor principal: | Nutter, Forrest W. |
|---|---|
| Outros Autores: | Esker, Paul David, Netto, Rosalee Albuquerque Coelho |
| Grau: | Trabalho Apresentado em Evento |
| Idioma: | English |
| Publicado em: |
European Journal of Plant Pathology
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/19993 |
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oai:repositorio:1-19993 |
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oai:repositorio:1-19993 Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data Nutter, Forrest W. Esker, Paul David Netto, Rosalee Albuquerque Coelho Assessment Method Disease Severity Quantitative Analysis New concepts in phytopathometry continue to emerge, such as the evolution of the concept of pathogen intensity versus the well-established concept of disease intensity. The concept of pathogen severity, defined as the quantitative measurement of the amount of pathogen per sampling unit has also emerged in response to the now commonplace development of quantitative molecular detection tools. Although the concept of disease severity, i.e., the amount of disease per sampling unit, is a well-established concept, the accuracy and precision of visual estimates of disease severity is often questioned. This article will review disease assessment concepts, as well as the methods and assessment aides currently available to improve the accuracy and precision of visually-based disease severity data. The accuracy and precision of visual disease severity assessments can be improved by quantitatively measuring and comparing the accuracy and precision of rates and/or assessment methods using linear regression, by using computer-based disease assessment training programmes, and by developing and using diagrammatic keys (standard area diagrams). © Springer 2006. 2020-06-16T17:30:35Z 2020-06-16T17:30:35Z 2006 Trabalho Apresentado em Evento https://repositorio.inpa.gov.br/handle/1/19993 10.1007/s10658-005-1230-z en Volume 115, Número 1, Pags. 95-103 Restrito European Journal of Plant Pathology |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Assessment Method Disease Severity Quantitative Analysis |
| spellingShingle |
Assessment Method Disease Severity Quantitative Analysis Nutter, Forrest W. Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data |
| topic_facet |
Assessment Method Disease Severity Quantitative Analysis |
| description |
New concepts in phytopathometry continue to emerge, such as the evolution of the concept of pathogen intensity versus the well-established concept of disease intensity. The concept of pathogen severity, defined as the quantitative measurement of the amount of pathogen per sampling unit has also emerged in response to the now commonplace development of quantitative molecular detection tools. Although the concept of disease severity, i.e., the amount of disease per sampling unit, is a well-established concept, the accuracy and precision of visual estimates of disease severity is often questioned. This article will review disease assessment concepts, as well as the methods and assessment aides currently available to improve the accuracy and precision of visually-based disease severity data. The accuracy and precision of visual disease severity assessments can be improved by quantitatively measuring and comparing the accuracy and precision of rates and/or assessment methods using linear regression, by using computer-based disease assessment training programmes, and by developing and using diagrammatic keys (standard area diagrams). © Springer 2006. |
| format |
Trabalho Apresentado em Evento |
| author |
Nutter, Forrest W. |
| author2 |
Esker, Paul David Netto, Rosalee Albuquerque Coelho |
| author2Str |
Esker, Paul David Netto, Rosalee Albuquerque Coelho |
| title |
Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data |
| title_short |
Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data |
| title_full |
Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data |
| title_fullStr |
Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data |
| title_full_unstemmed |
Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data |
| title_sort |
disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data |
| publisher |
European Journal of Plant Pathology |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/19993 |
| _version_ |
1787144568588730368 |
| score |
11.755432 |