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 | Acesso ao texto completo restrito à biblioteca da Embrapa Uva e Vinho. Para informações adicionais entre em contato com cnpuv.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
28/06/2021 |
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Data da última atualização: |
28/06/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PITHAN, P. A.; GARRIDO, L. da R.; ARRUDA, D. C.; THUM, A. B.; HOFF, R. |
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Afiliação: |
PÂMELA A. PITHAN, aCentro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; LUCAS DA RESSURREICAO GARRIDO, CNPUV; DINIZ C. ARRUDA, Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; ADRIANE B. THUM, Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; ROSEMARY HOFF, CNPUV. |
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Título: |
Spectral characterization of fungal diseases downy mildew, powdery mildew, black-foot and Petri disease on Vitis vinifera leaves. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
International Journal of Remote Sensing, v. 42, p. 5680-5697, 2021. |
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Idioma: |
Português |
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Conteúdo: |
Phytopathogenic diseases impact the development and yield of grapevines, resulting in economic, social and environmental losses. Sick plants have their metabolism changed, leading to alterations in their reflectance spectra. Little is known on these alterations, and a better knowledge could be used in the development of sensors able to detect diseases through fast, non-destructive techniques. This study was aimed at detecting spectral changes of grape leaves (Vitis vinifera cv. Cabernet Sauvignon), with early symptoms of downy mildew (Plasmopara viticola), powdery mildew (Uncinula necator), black-foot (Dactylonectria macrodidyma) and Petri disease (Phaeoacremonium spp.). Plants grown in pots and kept in a greenhouse were inoculated with the pathogens. In early stages of disease development, reflectance measurements were performed using a FieldSpec 3 spectroradiometer with leafclip attachment. The investigation began with discriminant analysis, which revealed that symptomatic plants are separated from the control ones. Reflectance spectra were therefore further investigated, looking for alterations on the shape of the spectra, characteristic of each disease. The disease descriptors were based on ratios between spectral features internal to a spectrum, a procedure which allowed the derivation of parameters intrinsic to each disease. A set of thresholds, defined as the ratios of reflectance at selected wavelengths, was derived for the studied diseases. For these ratios the selected wavelengths (nm) were R443/R496, R443/R573, R443/R695, R443/R1900, R496/R573, R496/R695, R516/R1900, and R1900/R2435. The spectra from symptomatic plants present shape changes of as much as 20% with respect to healthy plants. The observed spectral changes are larger for black-foot and powdery mildew, but some wavelength ratios are also indicators of downy mildew and Petri disease. Data from wavelengths shorter than 700nm in general carry more information than measurements at near infrared. These results are potentially useful to the development of low-cost devices to field use, providing real-time disease detection to early assessment of vineyard health status. MenosPhytopathogenic diseases impact the development and yield of grapevines, resulting in economic, social and environmental losses. Sick plants have their metabolism changed, leading to alterations in their reflectance spectra. Little is known on these alterations, and a better knowledge could be used in the development of sensors able to detect diseases through fast, non-destructive techniques. This study was aimed at detecting spectral changes of grape leaves (Vitis vinifera cv. Cabernet Sauvignon), with early symptoms of downy mildew (Plasmopara viticola), powdery mildew (Uncinula necator), black-foot (Dactylonectria macrodidyma) and Petri disease (Phaeoacremonium spp.). Plants grown in pots and kept in a greenhouse were inoculated with the pathogens. In early stages of disease development, reflectance measurements were performed using a FieldSpec 3 spectroradiometer with leafclip attachment. The investigation began with discriminant analysis, which revealed that symptomatic plants are separated from the control ones. Reflectance spectra were therefore further investigated, looking for alterations on the shape of the spectra, characteristic of each disease. The disease descriptors were based on ratios between spectral features internal to a spectrum, a procedure which allowed the derivation of parameters intrinsic to each disease. A set of thresholds, defined as the ratios of reflectance at selected wavelengths, was derived for the studied diseases. For these ratios the sele... Mostrar Tudo |
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Palavras-Chave: |
Dactylonectria macrodidyma; Phaeoacremonium spp; Vine reflectance. |
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Thesaurus Nal: |
Plasmopara viticola; Uncinula necator. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02914naa a2200229 a 4500
001 2132605
005 2021-06-28
008 2021 bl uuuu u00u1 u #d
100 1 $aPITHAN, P. A.
245 $aSpectral characterization of fungal diseases downy mildew, powdery mildew, black-foot and Petri disease on Vitis vinifera leaves.$h[electronic resource]
260 $c2021
520 $aPhytopathogenic diseases impact the development and yield of grapevines, resulting in economic, social and environmental losses. Sick plants have their metabolism changed, leading to alterations in their reflectance spectra. Little is known on these alterations, and a better knowledge could be used in the development of sensors able to detect diseases through fast, non-destructive techniques. This study was aimed at detecting spectral changes of grape leaves (Vitis vinifera cv. Cabernet Sauvignon), with early symptoms of downy mildew (Plasmopara viticola), powdery mildew (Uncinula necator), black-foot (Dactylonectria macrodidyma) and Petri disease (Phaeoacremonium spp.). Plants grown in pots and kept in a greenhouse were inoculated with the pathogens. In early stages of disease development, reflectance measurements were performed using a FieldSpec 3 spectroradiometer with leafclip attachment. The investigation began with discriminant analysis, which revealed that symptomatic plants are separated from the control ones. Reflectance spectra were therefore further investigated, looking for alterations on the shape of the spectra, characteristic of each disease. The disease descriptors were based on ratios between spectral features internal to a spectrum, a procedure which allowed the derivation of parameters intrinsic to each disease. A set of thresholds, defined as the ratios of reflectance at selected wavelengths, was derived for the studied diseases. For these ratios the selected wavelengths (nm) were R443/R496, R443/R573, R443/R695, R443/R1900, R496/R573, R496/R695, R516/R1900, and R1900/R2435. The spectra from symptomatic plants present shape changes of as much as 20% with respect to healthy plants. The observed spectral changes are larger for black-foot and powdery mildew, but some wavelength ratios are also indicators of downy mildew and Petri disease. Data from wavelengths shorter than 700nm in general carry more information than measurements at near infrared. These results are potentially useful to the development of low-cost devices to field use, providing real-time disease detection to early assessment of vineyard health status.
650 $aPlasmopara viticola
650 $aUncinula necator
653 $aDactylonectria macrodidyma
653 $aPhaeoacremonium spp
653 $aVine reflectance
700 1 $aGARRIDO, L. da R.
700 1 $aARRUDA, D. C.
700 1 $aTHUM, A. B.
700 1 $aHOFF, R.
773 $tInternational Journal of Remote Sensing$gv. 42, p. 5680-5697, 2021.
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| 1. |  | SILVA, S. S. da; NASCIMENTO, E. S. do; ALMEIDA, M. R. N. de; KOGA, D. M.; MELO, A. W. F. de; ARAUJO, E. A. de; BROWN, I. F.; AMARAL, E. F. do; COSTA, J. G. da; SOUZA, G. da C. Movimentos naturais de massa na Serra do Divisor no extremo oeste da Amazônia Ocidental. Research, Society and Development, v. 11, n. 1, e38711124724, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
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