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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: |
09/09/2024 |
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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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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1164150/1/P-Hyperspectral-imaging-for-the-detection-of-olant-pathogens-....pdf
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Marc: |
LEADER 02547naa a2200301 a 4500
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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Esconder MarcMostrar Marc Completo |
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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| Registros recuperados : 58 | |
| 41. |  | CABRAL, C. S.; BARBOZA, E. A.; LOPES, L. H. R.; ROSSATO, M.; BORGES, R. C. F.; REIS, A. Primeiro registro no Brasil da mancha de alternaria em rabanete, causada por alternaria japonica. In: CONGRESSO LUSO-BRASILEIRO DE HORTICULTURA, 2., 2019, Goiânia. Livro de resumos. [Goiânia: Associação Brasileira de Horticultura, 2019]. p. 91.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Hortaliças. |
|    |
| 42. | | BORGES, R. C. F.; ROSSATO, M.; SANTOS, M. D. M.; MACEDO, M. A.; FONSECA, M. E. N.; BOITEUX, L. S.; REIS, A. Colletotrichum siamense as a causal agent of leaf anthracnose in seedlings of Annona muricata in nurseries from the Federal District, Brazil. Journal of Plant Diseases and Protection, v. 128, p. 583-588, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 5 |
| Biblioteca(s): Embrapa Hortaliças. |
|  |
| 44. | | BORGES, R. C. F.; ROSSATO, M.; SANTOS, M. do D. M.; CABRAL, C. S.; ALBUQUERQUE, G. M. R.; FERREIRA, M. A.; FONSECA, M. E. N.; BOITEUX, L. S. A leaf spot of Tectona grandis caused by Zanthononas fuscans in Brazil. Journal of Plant Pathology, v. 101, p. 431, 2019.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Hortaliças. |
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| 46. | | BORGES, R. C. F.; ROSSATO, M.; ALBUQUERQUE, G. M. R.; FERREIRA, M. A.; BRASILEIRO, A. C. M.; FONSECA, M. E. N.; BOITEUX, L. S. Crown gall caused by Agrobacterium tumefaciens species complex: a novel nursery disease of Tectona grandis in Brazil. Journal of Plant Pathology, v. 101, n. 2, p. 445, 2019.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 47. | | PAIVA, B. A. R.; PREVEAUX, A.; DARRASSE, A.; WENDLAND, A.; ROSSATO, M.; MARQUES, A. S. dos A.; FERREIRA, M. A S. V.; JACQUES, M.-A. A survey of common bacterial blight in Central Brazil reveals a third Xanthomonas species infecting common bean. Tropical Plant Pathology, v. 49, n. 4, p. 566-572, Aug. 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 4 |
| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Recursos Genéticos e Biotecnologia. |
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| 48. | | ROSSATO, M.; SANTOS, A. C. A. dos; SERAFINI, L. A.; SCHÄFFER, N.; TREMEA, A.; CAPELLANI, B.; FORTE, F.; BARBIERI, R. L. Germinação de diferentes espécies de Butia do Rio Grande do Sul. In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 11., 2007, Gramado. Resumos. Brazilian Journal of Plant Physiology, Londrina, v. 19, supl., 2007.| Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 49. | | BARBIERI, R. L.; ROSSATO, M.; BUTTOW, M. V.; SCHUARTZ, E.; CORRÊA, L. B.; HEIDEN, G.; CASTRO, C. M.; KROLOW, A. C. R.; VIZZOTTO, M.; STUMPF, E. R. T. Genetic resources of butia (Arecaceae) in southern Brazil: A native multiple purpose palm. In: INTERNATIONAL HORTICULTURAL CONGRESS, 28., 2010, Lisboa. Science and horticulture for people: abstracts. Lisboa: ISHS, 2010. p. 572 S12.309 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 50. | | BORGES, R. C. F.; ROSSATO, M.; SANTOS, M. D. M.; FERREIRA, M. A.; FONSECA, M. E. N.; REIS, A.; BOITEUX, L. S. First report of a leaf spot caused by Paramyrothecium roridum on tectona grandis in Brazil. Plant Disease, v. 102, n. 8, p.1661, Aug. 2018.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Hortaliças. |
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| 51. | | SANTIAGO, T. R.; BONATTO, C. C.; ROSSATO, M.; LOPES, C. A. P.; LOPES, C. A.; MIZUBUTI, E. S. G.; SILVA, L. P. Green synthesis of silver nanoparticles using tomato leaf extract and their entrapment in chitosan nanoparticles to control bacterial wilt. Journal of the Science of Food and Agriculture, v. 99, n. 9, p. 4248-4259, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Hortaliças; Embrapa Recursos Genéticos e Biotecnologia. |
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| 52. | | BORGES, R. C. F.; SANTOS, M. D. M.; ROSSATO, M.; GIORIA, R.; BRUNELLI, K. R.; FONSECA, M. E. N.; BOITEUX, L. S.; REIS, A. Report of Paramyrothecium roridum causing circular leaf spots on impatiens walleriana in Brazil. Plant Disease, v. 103, p. 157, 2019.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Hortaliças. |
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| 53. | | LOPES, C. A.; CARVALHO, A. D. F. de; PEREIRA, A. da S.; EMYGDIO, B. M.; AZEVEDO, F. Q.; CASTRO, C. M.; ROSSATO, M. Recent advances in breeding potato for resistance to bacterial wilt (Ralstonia solanacearum) in Brazil. In: INTERNATIONAL BACTERIAL WILT SYMPOSIUM, 7., 2023, Montevideo. Abstract book. Montevideo: Universidad de la República Uruguay : INIA, 2023. p. 41| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Clima Temperado; Embrapa Hortaliças. |
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| 54. | | LOPES, L. H. R.; BOITEUX, L. S.; ROSSATO, M.; AGUIAR, F. M.; FONSECA, M. E. N.; OLIVEIRA, V. R.; REIS, A. Diversity of Colletotrichum species causing onion anthracnose in Brazil. European Journal of Plant Pathology, v. 159, P. 339-357, Feb. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Hortaliças. |
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| 55. | | VILLELA, J. G. A.; RITSCHEL, P. S.; BARBOSA, M. A. G.; BACCIN, J. M. S.; ROSSATO, M.; MAIA, J. D. G.; FERREIRA, M. A. S. V. Detection of Xanthomonas citri pv. viticola on grapevine by real-time PCR and BIO-PCR using primers designed from pathogenicity and xanthomonadin gene sequences. European Journal of Plant Pathology, v. 155, n. 2, p. 445-459, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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| 56. | | ROSSATO, M.; SOUZA, C. A.; MELO, F. L.; ORILIO, A. F.; RESENDE, R. O.; RIBEIRO, S. G.; NAITO, F. Y. B.; RIBEIRO, G. P.; ANDRADE, G. P.; PEREIRA-CARVALHO, R. C. An isolate of sweet potato chlorotic stunt virus from Brazil with a distinct genome organization. Archives of Virology, v. 164, p. 2175-2178, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 57. | | BORGES, R. C. F.; MACEDO, M. A.; CABRAL, C. S.; ROSSATO, M.; FONTES, M. G.; SANTOS, M. D. M.; FERREIRA, M. A.; FONSECA, M. E. N.; REIS, A.; BOITEUX, L. S. Vascular wilt of teak (Tectona grandis) caused by Fusarium oxysporum in Brazil. Phytopathologia Mediterranea, v. 57, n. 1, p. 115-121, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Hortaliças. |
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| 58. | | QUEZADO-DUVAL, A. M.; INOUE-NAGATA, A. K.; REIS, A.; PINHEIRO, J. B.; LOPES, C. A.; ARAÚJO, E. R.; FONTENELLE, M. R.; COSTA, J. R.; GUIMARÃES, C. M. N.; ROSSATO, M.; BECKER, W. F.; COSTA, H.; FERREIRA, M. A. S. V.; DESTÁFANO, S. A. L. Levantamento de doenças e mosca-branca em tomateiro em regiões produtoras no Brasil. Brasília, DF: Embrapa Hortaliças, 2013. 36 p. (Embrapa Hortaliças. Boletim de Pesquisa e Desenvolvimento, 100)| Tipo: Boletim de Pesquisa e Desenvolvimento |
| Biblioteca(s): Embrapa Hortaliças. |
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| Registros recuperados : 58 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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