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| Registros recuperados : 92 | |
| 43. |  | NICOLLI, C. P.; SPOLTI, P.; TIBOLA, C. S.; FERNANDES, J. M. C.; DEL PONTE, E. M. Fusarium head blight and trichothecene production in wheat by Fusarium graminearum and F. meridionale applied alone or in mixture at post-flowering. Tropical Plant Pathology, Brasília, DF, v. 40, N. 2, p. 134-140, 2015.| Biblioteca(s): Embrapa Trigo. |
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| 47. | | FERNANDES, J. M. C.; DEL PONTE, E. M.; PAVAN, W.; CUNHA, G. R. Web-based system to true-forecast disease epidemics. I. Fusarium head blight of wheat. In: BUCK, H. T.; NISI, J. E.; SALOMÓN, N. (Ed.). Wheat production in stressed environments. Dordrecht: Springer, 2007. p. 259-264. (Developments in Plant Breeding, 12). Proceedings of the 7th International Wheat Conference, held November 27 - December 2, 2005, in Mar Del Plata, Argentina.| Biblioteca(s): Embrapa Trigo. |
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| 48. | | CHEVARRIA, V. V.; JAHNKE, S. M.; DEL PONTE, E. M.; MAIA, A. de H. N.; REDAELLI, L. R. Simulação da ocorrência de Euschistus heros (F.) (Heteroptera: pentatomidae) em soja, com base na exigência térmica, nas safras 2008/2009 e 2009/2010 em três municípios do Brasil. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 23., 2010, Natal. Anais... Natal: Sociedade Brasileira de Entomologia, 2010. 1 CD-ROM. (Pôster P1854).| Biblioteca(s): Embrapa Meio Ambiente. |
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| 49. | | SPOLTI, P.; SANTOS, T. V.; DEL PONTE, E. M.; SEIXAS, C. D. S.; SOARES, R. M.; GODOY, C. V. Sumário da dispersão da ferrugem da soja no Brasil: análise dos dados do consórcio antiferrugem 2004-2009. Tropical Plant Pathology, Brasília, DF, v. 34, p. S129, ago. 2009. Suplemento, ref. 466. 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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| 50. | | MEGETO, G. A. S.; OLIVEIRA, S. R. de M.; DEL PONTE, E. M.; MEIRA, C. A. A. Árvore de decisão para classificação de ocorrências de ferrugem asiática em lavouras comerciais com base em variáveis meteorológicas. Engenharia Agrícola, Jaboticabal, v, 34, n. 3, p. 590-599, maio/jun. 2014| Biblioteca(s): Embrapa Agricultura Digital. |
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| 52. | | MAIA, A. de H. N.; SANTOS, T. V. dos; PAVAN, W.; FERNANDES, J. M. C.; DEL PONTE, E. M. Avaliação probabilística do risco de giberela do trigo considerando a influencia do ENOS. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 16., 2009, Belo Horizonte. Mudanças climáticas, recursos hídricos e energia para uma agricultura sustentável. Belo Horizonte: SBA: UFV: CNPMS, 2009. 1 CD-ROM. 5 p.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Trigo. |
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| 53. | | FARIAS, C. R. J. de; ROSA, A. P. S. A. da; PIEROBOM, C. R.; DEL PONTE, E. M. Levantamento regional e identificação de Bipolaris spp. associadas às sementes de arroz no Estado do Rio Grande do Sul, Brasil. Ciência Rural, Santa Maria, v. 41, n. 3, p. 369-372, mar. 2011.| Biblioteca(s): Embrapa Clima Temperado. |
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| 54. | | 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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| 55. | | FRANCESCHI, V. T.; ALVES, K. S.; MAZARO, S. M.; GODOY, C. V.; DUARTE, H. S. S.; DEL PONTE, E. M. A new standard area diagram set for assessment of severity of soybean rust improves accuracy of estimates and optimizes resource use. Plant Pathology, v. 60, n. 3, p. 495-505, 2020.| Biblioteca(s): Embrapa Soja. |
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| 56. | | TIECKER JUNIOR, A.; GUIMARÃES, L. E.; FERRARI FILHO, E.; CASTRO, B. de; Del PONTE, E. M.; DIONELLO, R. G. Qualidade físico-química de grãos de milho armazenados com diferentes umidades em ambientes hermético e não hermético. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 13, n. 2, p. 174-186, 2014.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 57. | | GODOY, C. V.; DEL PONTE, E. M.; COSTAMILAN, L. M.; KATO, M.; YORINORI, J. T.; NUNES JUNIOR, J. Epidemiological studies on asian rust in South America: relationship between disease variables and weather. In: KUDO, H.; SUENAGA, K.; SOARES, R. M.; TOLEDO, A. (Ed.). Facing the challenge of soybean rust in South America. Tsukuba: JIRCAS; Londrina: Embrapa Soybean, 2008. p. 41-48. (JIRCAS Working Report, 58).| Biblioteca(s): Embrapa Soja; Embrapa Trigo. |
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| 58. | | DALLA LANA, F.; ZIEGELMANN, P. K.; MAIA, A. de H. N.; GODOY, C. V.; DEL PONTE, E. M. Meta-analysis of the relationship between crop yield and soybean rust severity. Phytopathology, St Paul, v. 105, n. 3, p. 307-315, 2015.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 59. | | D'ÁVILA, L. S.; LEHNER, M. S.; FILIPPI, M. C. C.; SCHEUERMANN, K. K.; DEL PONTE, E. M. Genetic structure and mating type analysis of the Pyricularia oryzae population causing widespread epidemics in southern Brazil. Tropical Plant Pathology, Brasília, DF, v. 41, n. 6, p. 297-305, Oct. 2016.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 92 | |
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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. |
|
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 |
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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. 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 |
|
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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