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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Hortaliças; Embrapa Instrumentação. |
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Data corrente: |
09/05/2024 |
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Data da última atualização: |
11/06/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERREIRA, L. C.; CARVALHO, I. C. B.; JORGE, L. A. de C.; QUEZADO-DUVAL, A. M.; ROSSATO, M. |
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Afiliação: |
UNIVERSITY OF BRASILIA; UNIVERSITY OF BRASILIA; LUCIO ANDRE DE CASTRO JORGE, CNPDIA; ALICE MARIA QUEZADO DUVAL, CNPH; UNIVERSITY OF BRASILIA. |
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Título: |
Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 15, 1387925, 2024. |
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Páginas: |
9 p. |
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DOI: |
10.3389/fpls.2024.1387925 |
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Idioma: |
Inglês |
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Conteúdo: |
Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the expansion of the international seed market with global movement of this propagative plant material, and considering that about 90% of economically important crops grown from seeds, seed pathology emerged as an important discipline. Seed health testing is presently part of quality analysis and carried out by seed enterprises and governmental institutions looking forward to exclude a new pathogen in a country or site. The development of seedborne pathogens detection methods has been following the plant pathogen detection and diagnosis advances, from the use of cultivation on semi-selective media, to antibodies and DNA-based techniques. Hyperspectral imaging (HSI) associated with artificial intelligence can be considered the new frontier for seedborne pathogen detection with high accuracy in discriminating infected from healthy seeds. The development of the process consists of standardization of methods and protocols with the validation of spectral signatures for presence and incidence of contamined seeds. Concurrently, epidemiological studies correlating this information with disease outbreaks would help in determining the acceptable thresholds of seed contamination. Despite the high costs of equipment and the necessity for interdisciplinary collaboration, it is anticipated that health seed certifying programs and seed suppliers will benefit from the adoption of HSI techniques in the near future. MenosFood security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the expansion of the international seed market with global movement of this propagative plant material, and considering that about 90% of economically important crops grown from seeds, seed pathology emerged as an important discipline. Seed health testing is presently part of quality analysis and carried out by seed enterprises and governmental institutions looking forward to exclude a new pathogen in a country or site. The development of seedborne pathogens detection methods has been following the plant pathogen detection and diagnosis advances, from the use of cultivation on semi-selective media, to antibodies and DNA-based techniques. Hyperspectral imaging (HSI) associated with artificial intelligence can be considered the new frontier for seedborne pathogen detection with high accuracy in discriminating infected from healthy seeds. The development of the process consists of standardization of methods and protocols with the validation of spectral signatures for presence and incidence of contamined seeds. Concurrently, epidemiological studies correlating this information with disease outbreaks would help in determining the acceptable thresholds of seed contamination. Despite the high costs of equipment and the necessity for interdis... Mostrar Tudo |
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Palavras-Chave: |
Machine learning; Nematode; Phytopathogen; Seedborne. |
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Thesagro: |
Segurança Alimentar; Semente. |
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Thesaurus Nal: |
Artificial intelligence; Plant pathogens; Seed quality. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 2164150
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008 2024 bl uuuu u00u1 u #d
024 7 $a10.3389/fpls.2024.1387925$2DOI
100 1 $aFERREIRA, L. C.
245 $aHyperspectral imaging for the detection of plant pathogens in seeds$brecent developments and challenges.$h[electronic resource]
260 $c2024
300 $a9 p.
520 $aFood security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the expansion of the international seed market with global movement of this propagative plant material, and considering that about 90% of economically important crops grown from seeds, seed pathology emerged as an important discipline. Seed health testing is presently part of quality analysis and carried out by seed enterprises and governmental institutions looking forward to exclude a new pathogen in a country or site. The development of seedborne pathogens detection methods has been following the plant pathogen detection and diagnosis advances, from the use of cultivation on semi-selective media, to antibodies and DNA-based techniques. Hyperspectral imaging (HSI) associated with artificial intelligence can be considered the new frontier for seedborne pathogen detection with high accuracy in discriminating infected from healthy seeds. The development of the process consists of standardization of methods and protocols with the validation of spectral signatures for presence and incidence of contamined seeds. Concurrently, epidemiological studies correlating this information with disease outbreaks would help in determining the acceptable thresholds of seed contamination. Despite the high costs of equipment and the necessity for interdisciplinary collaboration, it is anticipated that health seed certifying programs and seed suppliers will benefit from the adoption of HSI techniques in the near future.
650 $aArtificial intelligence
650 $aPlant pathogens
650 $aSeed quality
650 $aSegurança Alimentar
650 $aSemente
653 $aMachine learning
653 $aNematode
653 $aPhytopathogen
653 $aSeedborne
700 1 $aCARVALHO, I. C. B.
700 1 $aJORGE, L. A. de C.
700 1 $aQUEZADO-DUVAL, A. M.
700 1 $aROSSATO, M.
773 $tFrontiers in Plant Science$gv. 15, 1387925, 2024.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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| Registros recuperados : 139 | |
| 81. |  | QUEZADO-DUVAL, A. M.; GAZZOTO FILHO, A.; LEITE JÚNIOR, R. P.; CAMARGO, L. E. A. Sensibilidade in vitro ao cobre, estreptomicina e oxitetraciclina em Xanthomonas spp. associadas a mancha-bacteriana do tomateiro rasteiro. Fitopatologia Brasileira, Brasília, v. 28, p. 340, ago. 2003. Suplemento. Trabalho apresentado no 36º Congresso Brasileiro de Fitopatologia, 2003, Brasília. Resumo.| Biblioteca(s): Embrapa Hortaliças. |
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| 82. | | ARAÚJO, E. R.; PEREIRA, R. C.; QUEZADO-DUVAL, A. M.; FERREIRA, M. A. S. V. Sensibilidade in vitro de isolados de Xanthomonas perforans a cobre e estreptomicina. Tropical plant Pathology, Brasília, DF, v. 34, p. S94, ago. 2009. Suplemento. Resumo 342. Trabalho apresentado no 42. Congresso Brasileiro de Fitopatologia, Rio de Janeiro.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Hortaliças. |
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| 91. | | PEREIRA, M. V.; COSTA, J. R. da; QUEZADO-DUVAL, A. M. Xanthomonas sp. infectando maria-pretinha em lavoura de tomate industrial. CONGRESSO BRASILEIRO DE TOMATE INDUSTRIAL, 3.; SEMINÁRIO NACIONAL DE TOMATE DE MESA, 1., 2009, Goiânia. Tendências mundiais do processamento de tomate: anais... Brasília, DF: Embrapa Hortaliças: Associação Brasileira de Horticultura; Goiânia; FAEG: UFG: Secretaria de Agricultura, Pecuária e Abastecimento: Win Central de Eventos, 2009. CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Hortaliças. |
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| 94. | | PONTES, N. C.; COSTA, F. L.; STOCK, V. M.; QUEZADO-DUVAL, A. M.; OLIVEIRA, J. R.; MAFFIA, L. A. Efeito residual do acibenzolar-S-metil na indução de resistência do tomateiro à mancha bacteriana. Tropical Plant Pathology, Brasília, DF, v. 35, p. S82, ago. 2010. Suplemento. Resumo 03.300. Trabalho apresentado no 43. Congresso Brasileiro de Fitopatologia, 2010, Cuiabá.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Hortaliças. |
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| 96. | | NASCIMENTO, A. dos R.; FERNANDES, P. M.; BORGES, L. C.; MOITA, A. W.; QUEZADO-DUVAL, A. M. Controle químico da mancha-bacteriana do tomate para processamento industrial em campo. Horticultura Brasileira, Brasília, DF, v. 31, n. 1, p. 15-24, jan./mar. 2013.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Hortaliças. |
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| 97. | | QUEZADO-DUVAL, A. M.; INOUE-NAGATA, A. K.; LELIS JÚNIOR, S. R.; SANT'ANA, R.; HERNANDEZ, S.; SOARES, M. F. Desempenho do híbrido experimental HFI-170 da Embrapa Hortaliças em lavouras comerciais com ocorrência de doenças. In: CONGRESSO BRASILEIRO DE TOMATE INDUSTRIAL, 5., 2011, Goiania. Tomate industrial no Cerrado: 25 anos de história e uma visão futura. [Anais...].Brasília, DF: Embrapa Hortaliças: Associação Brasileira de Horticultura; Goiânia: FAEG: UFG: Agrodefesa, 2011. 1 CD-ROM. Trabalho 3| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Hortaliças. |
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| 100. | | QUEZADO-DUVAL, A. M.; INOUE-NAGATA, A. K.; REIS, A.; MONTEIRO, F. P.; PINHEIRO, J. B.; LOPES, C. A. Doenças e seu controle. In: ZAMBOLIM, L.; QUEZADO-DUVAL, A. M. Produção integrada do tomateiro tutorado: subsídios para produção integrada. Viçosa, MG: Universidade Federal de Viçosa, Coordenadoria de Educação Aberta e a Distância, 2022. p. 117-173.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Hortaliças. |
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| Registros recuperados : 139 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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