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| Registros recuperados : 10 | |
| 1. |  | MAIA, A. de H. N.; DEL PONTE, E. M.; ESKER, P. D.; GODOY, C. V. Análise exploratória e seleção de ensaios para meta-análise de coeficientes de regressão linear. In: REUNIÃO ANUAL DA REGIÃO BRASILEIRA DA SOCIEDADE INTERNACIONAL DE BIOMETRIA - RBRAS, 54.; SIMPÓSIO DE ESTATÍSTICA APLICADA À EXPERIMENTAÇÃO AGRONÔMICA - SEAGRO, 13., 2009, São Carlos, SP. Anais.... São Carlos: UFSCar: Embrapa Pecuária Sudeste, 2009. 1 CD-ROM. N. 438. 5 p.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 6. | | DEL PONTE, E. M.; MAIA, A. H. N.; ESKER, P. D.; GODOY, C. V. Sumarizando os coeficientes da regressão linear entre a severidade da ferrugem asiática e os danos na soja nos ensaios em rede no Brasil. Tropical Plant Pathology, Brasília, DF, v. 34, p. S118, ago. 2009. Suplemento, ref. 424. Edição dos Resumos do XLII Congresso Brasileiro de Fitopatologia; Annual Meeting of the Brazilian Phytopathological Society, Rio de Janeiro, ago. 2009.| Biblioteca(s): Embrapa Soja. |
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| 7. | | BOCK, C. H.; PETHYBRIDGE, S. J.; BARBEDO, J. G. A.; ESKER, P. D.; MAHLEIN, A. K.; DEL PONTE, E. M. A phytopathometry glossary for the twenty-first century: towards consistency and precision in intra- and inter-disciplinary dialogues. Tropical Plant Pathology, v. 47, n. 1, p. 14-24, Feb. 2022.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 8. | | ROGERIO, F.; BARONCELLI, R.; CUEVAS-FERNÁNDEZ, F. B.; BECERRA. S.; CROUCH, J.; BETTIOL, W.; AZCÁRATE-PERIL, M. A.; MALAPI-WIGHT, M.; ORTEGA, V.; BETRAN, J.; TENUTA, A.; DAMBOLENA, J. S.; ESKER, P. D.; REVILLA, P.; JACKSON-ZIEMS, T. A.; HILTBRUNNER, J.; MUNKVOLD, G.; BUHINICEK, I.; VICENTE-VILLARDÓN, J. L.; SUKNO, S. A.; THON, M. R. Migration and genetic recombination shape the global population structure of Colletotrichum graminicola, the causal agent of maize anthracnose. In: CONGRESO DE LA SOCIEDADE ESPAÑOLA DE FITOPATOLOGIA, 20., 2022, València. [Libro de resúmenes...] València: Sociedad Española de Fitopatología, 2022. Póster 172. p. 290.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 9. | | ROGÉRIO, F.; BARONCELLI, R.; CUEVAS-FERNÁNDEZ, F. B.; BECERRA, S.; CROUCH, J.; BETTIOL, W.; AZCÁRATE-PERIL, M. A.; MALAPI-WIGHT, M.; ORTEGA, V.; BETRAN, J.; TENUTA, A.; DAMBOLENA, J. S.; ESKER, P. D.; REVILLA, P.; JACKSON-ZIEMS; HILTBRUNNER, J.; MUNKVOLD, G.; BUHINICEK, I.; VICENTE-VILLARDÓN, J. L.''''; SUKNO, S. A.; THON, M. R. Population genomics provide insights into the global genetic structure of Colletotrichum graminicola, the causal agent of maize anthracnose. MBio, v. 14, n. 1, e0287822, 2022.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 10. | | SAVARY, S.; DJURLE, A.; YUEN, J.; FICKE, A.; ROSSI, V.; ESKER, P. D.; FERNANDES, J. M. C.; DEL PONTE, E. M.; KUMAR, J.; MADDEN, L. V.; PAUL, P.; MCROBERTS, N.; SINGH, P. K.; HUBER, L.; POPE DE VALLAVIELLE, C.; SAINT-JEAN, S.; WILLOCQUET, L. A white paper on global wheat health based on scenario development and analysis. Phytopathology, St. Paul, v. 107, n. 10, p. 1109-1122, Oct. 2017.| Biblioteca(s): Embrapa Trigo. |
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| Registros recuperados : 10 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
10/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BOCK, C. H.; PETHYBRIDGE, S. J.; BARBEDO, J. G. A.; ESKER, P. D.; MAHLEIN, A. K.; DEL PONTE, E. M. |
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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. |
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Título: |
A phytopathometry glossary for the twenty-first century: towards consistency and precision in intra- and inter-disciplinary dialogues. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Tropical Plant Pathology, v. 47, n. 1, p. 14-24, Feb. 2022. |
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DOI: |
https://doi.org/10.1007/s40858-021-00454-0 |
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Idioma: |
Inglês |
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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. MenosAbstract. 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 ... Mostrar Tudo |
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Palavras-Chave: |
Acurácia; Confiabilidade; Estimate; Fitopatologia; Fitopatometria; Imaging; Patologia de planta; Phytopathometry; Sensors; Severidade da doença; Visual. |
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Thesagro: |
Doença de Planta. |
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Thesaurus NAL: |
Accuracy; Disease severity; Measurement; Plant diseases and disorders; Plant pathology; Reliability. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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100 1 $aBOCK, C. H.
245 $aA phytopathometry glossary for the twenty-first century$btowards consistency and precision in intra- and inter-disciplinary dialogues.$h[electronic resource]
260 $c2022
520 $aAbstract. 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.
650 $aAccuracy
650 $aDisease severity
650 $aMeasurement
650 $aPlant diseases and disorders
650 $aPlant pathology
650 $aReliability
650 $aDoença de Planta
653 $aAcurácia
653 $aConfiabilidade
653 $aEstimate
653 $aFitopatologia
653 $aFitopatometria
653 $aImaging
653 $aPatologia de planta
653 $aPhytopathometry
653 $aSensors
653 $aSeveridade da doença
653 $aVisual
700 1 $aPETHYBRIDGE, S. J.
700 1 $aBARBEDO, J. G. A.
700 1 $aESKER, P. D.
700 1 $aMAHLEIN, A. K.
700 1 $aDEL PONTE, E. M.
773 $tTropical Plant Pathology$gv. 47, n. 1, p. 14-24, Feb. 2022.
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