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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
13/08/2021 |
Data da última atualização: |
10/03/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. 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 |
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 |
Marc: |
LEADER 02727naa a2200409 a 4500 001 2133528 005 2022-03-10 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1007/s40858-021-00454-0$2DOI 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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Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
09/02/2022 |
Data da última atualização: |
09/02/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
PEREIRA, T. dos S.; PAULA, A. M. de; FERRARI, L. H.; SILVA, J. da; PINHEIRO, J. B.; CAJAMARCA, S. M. N.; JINDO, K.; SANTOS, M. P.; ZANDONADI, D. B.; BUSATO, J. B. |
Afiliação: |
TIAGO DOS SANTOS PEREIRA, UNIVERSIDADE DE BRASÍLIA; ALESSANDRA MONTEIRO DE PAULA, UNIVERSIDADE DE BRASÍLIA; LUIS HENRIQUE FERRARI, UNIVERSIDADE DE BRASÍLIA; JUSCIMAR DA SILVA, CNPH; JADIR BORGES PINHEIRO, CNPH; SABRINA MAGALY NAVAS CAJAMARCA, UNIVERSIDADE DE BRASÍLIA; KEIJI JINDO, WAGENINGEN UNIVERSITY; MIRELLA PUPO SANTOS, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; DANIEL BASÍLIO ZANDONADI, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; JADER GALBA BUSATO, UNIVERSIDADE DE BRASÍLIA. |
Título: |
Trichoderma-enriched vermicompost extracts reduces nematode biotic stress in tomato and bell pepper crops. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Agronomy, v. 11, n. 8, e1655, 2021. |
DOI: |
https://doi.org/10.3390/agronomy11081655 |
Idioma: |
Inglês |
Conteúdo: |
In the present work, water-extractable fractions obtained from vermicompost (WSFv), vermicompost enriched with Trichoderma asperellum (WSFta) and T. virens (WSFtv) were tested as biotechnological tools to reduce the impacts of RKN on gas exchange, water use efficiency (WUE) and nutrient concentration in tomato and bell pepper plants. The plants were infected with 5000 eggs and eventual J2 of RKN and then treated with the water-extractable fractions for seven weeks. It was observed that the addition of WSFta, WSFtv and WSFv increased the CO2 assimilation, stomatal conductance and WUE in the tomato plants. |
Palavras-Chave: |
Plant biostimulants. |
Thesagro: |
Controle Biológico; Meloidogyne Incognita; Planta Estimulante. |
Thesaurus NAL: |
Biological control; Solanum lycopersicum; Stress tolerance; Vermicomposts. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231157/1/agronomy-11-01655-v3.pdf
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Marc: |
LEADER 01625naa a2200337 a 4500 001 2139887 005 2022-02-09 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/agronomy11081655$2DOI 100 1 $aPEREIRA, T. dos S. 245 $aTrichoderma-enriched vermicompost extracts reduces nematode biotic stress in tomato and bell pepper crops.$h[electronic resource] 260 $c2021 520 $aIn the present work, water-extractable fractions obtained from vermicompost (WSFv), vermicompost enriched with Trichoderma asperellum (WSFta) and T. virens (WSFtv) were tested as biotechnological tools to reduce the impacts of RKN on gas exchange, water use efficiency (WUE) and nutrient concentration in tomato and bell pepper plants. The plants were infected with 5000 eggs and eventual J2 of RKN and then treated with the water-extractable fractions for seven weeks. It was observed that the addition of WSFta, WSFtv and WSFv increased the CO2 assimilation, stomatal conductance and WUE in the tomato plants. 650 $aBiological control 650 $aSolanum lycopersicum 650 $aStress tolerance 650 $aVermicomposts 650 $aControle Biológico 650 $aMeloidogyne Incognita 650 $aPlanta Estimulante 653 $aPlant biostimulants 700 1 $aPAULA, A. M. de 700 1 $aFERRARI, L. H. 700 1 $aSILVA, J. da 700 1 $aPINHEIRO, J. B. 700 1 $aCAJAMARCA, S. M. N. 700 1 $aJINDO, K. 700 1 $aSANTOS, M. P. 700 1 $aZANDONADI, D. B. 700 1 $aBUSATO, J. B. 773 $tAgronomy$gv. 11, n. 8, e1655, 2021.
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