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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: |
09/05/2024 |
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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: |
LEADER 02547naa a2200301 a 4500
001 2164150
005 2024-05-09
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 : 76 | |
| 1. |  | SAINZ, R. D.; MAGNABOSCO, C. de U. Analise de sistemas agropastoris. In: WORKSHOP INTERNACIONAL PROGRAMA DE INTEGRACAO AGRICULTURA E PECUARIA PARA O DESENVOLVIMENTO SUSTENTAVEL DAS SAVANAS TROPICAIS SULAMERICANAS, 2001, Santo Antonio de Goias. Anais... Santo Antonio de Goias: Embrapa Arroz e Feijao, 2001. p. 10-28| Biblioteca(s): Embrapa Cerrados. |
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| 3. | | MAGNABOSCO, C. de U.; MANICARDI, F.; BARBOSA, V.; ARAUJO, F. C. R.; SAINZ, R. D. Analise de caracteristicas de carcaca e crescimento em bovinos da raca Brahman criados na regiao do Mato Grosso- resultados preliminares. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 40., 2003, Santa Maria, RS. Otimizando a producao animal: anais. Santa Maria: SBZ: UFSM, 2003. 1 CD-ROM.| Biblioteca(s): Embrapa Cerrados. |
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| 7. | | SAINZ, R. D.; BARIONI, L. G.; PAULINO, P. V.; VALADARES FILHO, S. C.; OLTJEN, J. W. Growth patterns of Nellore vc British beef cattle breeds assessed using a dynamic, mechanistic model of cattle growth and composition. In: KEBREAB, E.; DIJKSTRA, J.; BANNINK, A.; GERRITS, W. J. J.; FRANCE, J. (Ed.). Nutrient digestion and utilization in farm animals: modelling approaches. Oxfordshire: CABI, 2006. p. 160-170.| Biblioteca(s): Embrapa Cerrados. |
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| 8. | | OLTJEN, J. W.; SAINZ, R. D.; BARIONI, L. G.; MEDEIROS, S. R. de. Rate of protein growth and energy for mainternance parameter changes in the Davis Growth Model. In: EAAP INTERNATIONAL SYMPOSIUM ON ENERGY AND PROTEIN METABOLISM AND NUTRITION, 5., 2016, Krakow, Poland. Proceedings... Wageningen, Reino dos Países Baixos: Wageningen Academic Pulbishers, 2016. p. 69-70 (EAAP publication, 137). Edited by: Jacek Skomial, Hélène Lapierre| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 10. | | THOMPSON, V. A.; BARIONI, L. G.; RUMSEY, T. R.; FADEL, J. G.; SAINZ, R. D. The development of a dynamic, mechanistic, thermal balance model for Bos indicus and Bos taurus. Journal of Agricultural Science, Cambridge, v. 152, n. 3, p. 464-482, June 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | MAGNABOSCO, C. de U.; LOPES, F. B.; MIYAGI, E. S.; LÔBO, R. B.; SAINZ, R. D. Multivariate approach of inter-relationships among growth, consumption and carcass traits in nellore cattle. Revista Ciência Agronômica, v. 45, n. 1, p. 168-176, 2014. p. 168-176| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Cerrados. |
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| 12. | | PADUA, J. T.; SAINZ, R. D.; MIYAGI, E. S.; MAGNABOSCO, C. de O.; PRADO, C. S.; PACHECO, R. Avaliacao do desempenho e de caracteristicas de carcaca de bovinos de corte confinados, inteiros e castrados com e sem synovex-s. In: CONGRESSO BRASILEIRO DE CIENCIA E TECNOLOGIA DE CARNES, 1., 2001, Sao Pedro,SP. Carne: qualidade e seguranca para os consumidores do novo milenio: anais: palestras e trabalhos cientificos. Sao Pedro: CTG, 2001. p. 90-91.| Biblioteca(s): Embrapa Cerrados. |
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| 13. | | LOPES, F. B.; MAGNABOSCO, C. de U.; MAMEDE, M. M. S.; NAKAGAWA, A. F.; SAINZ, R. D. Abordagem multivariada das inter-relações entre características de crescimento e consumo alimentar de bovinos da raça Nelore mocho In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 49., 2012, Brasília. A produção animal no mundo em transformação: anais. Brasília, DF: SBZ, 2012. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Cerrados. |
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| 14. | | LOPES, F. B.; MAGNABOSCO, C. de U.; MAMEDE, M. M. S.; NAKAGAWA, A. F.; SAINZ, R. D. Ajustes de curvas de crescimento de um rebanho de bovinos da raça Nelore mocho. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 49., 2012, Brasília. A produção animal no mundo em transformação: anais. Brasília, DF: SBZ, 2012. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Cerrados. |
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| 17. | | MAGNABOSCO, C. D. U.; OJALA, M.; LOS REYES, A. de; SAINZ, R. D.; FERNANDES, A.; FAMULA, T. R. Estimates of environmental effects and genetic parameters for body measurements and weight in Brahaman cattle raised in Mexico. Journal of Animal Breeding and Genetics, Berlin, v. 119, p. 221-228, 2002.| Biblioteca(s): Embrapa Cerrados. |
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| 18. | | GOMES, R. da C.; SAINZ, R. D.; SILVA, S. L.; CESAR, M. C.; BONIN, M. N.; LEME, P. R. Feedlot performance, feed efficiency reranking, carcass traits, body composition, energy requirements, meat quality and calpain system activity in Nellore steers with low and high residual feed intake. Livestock Science, v.150, p.265-273, Dec. 2012. Issue 1-3.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Gado de Corte. |
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| Registros recuperados : 76 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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