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| Registros recuperados : 30 | |
| 4. |  | GIRAO, E. S.; COSTA JUNIOR, L. M.; CASTELO BRANCO, R. A.; ISMAEL, A. P. K.; BARROS, A. T. M. de. Suscetibilidade da mosca-dos-chifres (Diptera: Muscidae) a inseticida no Piaui e Maranhao. In: CONGRESSO BRASILEIRO DE PARASITOLOGIA VETERINARIA, 12.,; SEMINARIO DE PARASITOSES NA CLINICA DE PEQUENOS ANIMAIS, 1.,; SEMINARIO DE COCCIDIOS E COCCIDIOSES, 1; SEMINARIO DE MANEJO INTEGRADO DA RESISTENCIA, 1.; CURSO DE GEOPROCESSAMENTO E SEU USO EM ESTUDOS EPIDEMIOLOGICOS, 2002, Rio de Janeiro [Anais...] Rio de Janeiro: UFRRJ: Colegio Brasileiro de Parasitologia Veterinaria, 2002. CD-Rom.| Biblioteca(s): Embrapa Pantanal. |
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| 6. | | PEREIRA, S. G.; GUILHON, M. S. P.; SANTOS, L. S.; COSTA-JUNIOR, L. M.; CORDEIRO, J. A. F.; ARRUDA, M. M. S.; SOUZA FILHO, A. P. da S. Potencial alelopático do ácido cinâmico isolado de Crescentia cujete L. (Bignoniaceae). In: CONGRESSO BRASILEIRO DE QUÍMICA, 51., 2011, São Luís. Meio ambiente e energia: anais. [São Luís]: ABQ, 2011.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 7. | | CASTRO, K. N. de C.; LIMA, D. F.; VASCONCELOS, L. C.; LEITE, J. R. S. A.; SANTOS, R. C.; PAZ NETO, A. A.; COSTA-JÚNIOR, L. M. Acaricide activity in vitro of Acmella oleracea against Rhipicephalus microplus. Parasitology Research, v. 113, n. 10, p. 3697-3701, Oct. 2014.| Biblioteca(s): Embrapa Meio-Norte. |
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| 9. | | COSTA-JÚNIOR, L. M.; CHAVES, D. P.; BRITO, D. R. B.; SANTOS, V. A. F. dos; COSTA-JÚNIOR, H. N.; BARROS, A. T. M. de. A review on the occurrence of Cochliomyia hominivorax (Diptera: Calliphoridae) in Brazil. Brazilian Journal of Veterinary Parasitology, v. 28, n. 4, p. 548-562, oct.-dec. 2019.| Biblioteca(s): Embrapa Gado de Corte. |
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| 10. | | TEIXEIRA, M.; COSTA JUNIOR, L. M.; SILVA, C. R. de; CAVALCANTE, A. C. R.; HASSUM, I. C.; PIRANDA, E. M.; CANCADO, P. H. D. Doenças parasitárias de caprinos. In: SELAIVE-VILLARROEL, A. B.; GUIMARAES, V. P. (Ed.). Produção de caprinos no Brasil. Brasília, DF: Embrapa, 2019. p. 311-353.| Biblioteca(s): Embrapa Caprinos e Ovinos; Embrapa Meio-Norte. |
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| 12. | | MOURA, J. W. da S.; SILVA, N. C. S. da; CAMPELO, J. E. G.; AZEVEDO, D. M. M. R.; COSTA JÚNIOR, L. M.; SILVA, P. O. da. Fatores ambientais que interferem na variação de características relacionadas a endoparasitismo gastrintestinal na raça Anglonubiana no Piauí. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 48., 2011, Belém, PA. O desenvolvimento da produção animal e a responsabilidade frente a novos desafios: anais. Belém, PA: SBZ, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Meio-Norte. |
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| 13. | | CASTRO, K. N. de C.; COSTA JÚNIOR, L. M.; CANUTO, K. M.; ANDRADE, I. M. DE; MINHO, A. P.; SOUZA, F. DE A. L. In vitro efficacy of essential oils against Haematobia irritans. Medicina Veterinária (UFRPE), v. 16, n. 4, p. 257-263, 2023.| Biblioteca(s): Embrapa Agroindústria Tropical; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 14. | | CASTRO, K. N. de C.; CANUTO, K. M.; BRITO, E. S. de; COSTA-JÚNIOR, L. M.; ANDRADE, I. M. de; MAGALHAES, J. A.; BARROS, D. M. A. In vitro efficacy of essential oils with different concentrations of 1,8-cineole against Rhipicephalus (Boophilus) microplus. Revista Brasileira de Parasitologia Veterinária, Jaboticabal, v. 27, n. 2, p. 203-210, abr./jun. 2018. Autoria na publicação: Edy de Sousa Brito.| Biblioteca(s): Embrapa Meio-Norte. |
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| 15. | | CASTRO, K. N. de C.; CANUTO, K. M.; BRITO, E. de S.; COSTA-JÚNIOR, L. M.; ANDRADE, I. M. de; MAGALHÃES, J. A.; BARROS, D. M. A. In vitro efficacy of essential oils with different concentrations of 1,8-cineole against Rhipicephalus (Boophilus) microplus. Brazilian Journal of Veterinary Parasitology. Braz. J. Vet. Parasitol. Jaboticabal, v. 27, n. 2. p. 203-210, apr. june 2018.| Biblioteca(s): Embrapa Meio Norte / UEP-Parnaíba. |
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| 16. | | MARCHESINI, P.; TEIXEIRA, A. L. C.; CARDOSO, S. J.; PRATA, M. C. de A.; NASCIMENTO, R. M.; KLAFKE, G.; COSTA-JUNIOR, L. M.; MATURANO, R.; LOPES, W. D. Z.; BITTENCOURT, V. R. E. P.; MONTEIRO, C. M. Atividade carrapaticida do alfa-bisabolol sobre populações de Rhipicephalus microplus (acari: ixodidae) com diferentes perfis de resistência. In: SIMPÓSIO BRASILEIRO DE ACAROLOGIA, 7., 2021. Acarologia em tempos de conectividade: [resumos]. México: Sociedad Latinoamericana de Acarologia, 2022. Evento online.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | CASTRO, K. N. de C.; COSTA-JÚNIOR, L. M.; LIMA, D. F.; CANUTO, K. M.; BRITO, E. S. de; ANDRADE, I. M. de; TEODORO, M. S.; OIRAM-FILHO, F. O.; SANTOS, R. C. dos; MAYO, S. J. Acaricidal activity of cashew nut shell liquid associated with essential oils from Cordia verbenacea and Psidium guajava on Rhipicephalus microplus. Journal of Essential oil Research, v. 31, n. 4, p. 297-304, 2019.| Biblioteca(s): Embrapa Agroindústria Tropical; Embrapa Meio-Norte. |
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| 18. | | MARCHESINI, P.; NOVATO, T. P.; CARDOSO, S. J.; PRATA, M. C. de A.; NASCIMENTO, R. M. do; KLAFKE, G.; COSTA-JÚNIOR, L. M.; MATURANO, R.; LOPES, W. D. Z.; BITTENCOURT, V. R. E. P.; MONTEIRO, C. Acaricidal activity of (E)-cinnamaldehyde and alpha-bisabolol on populations of Rhipicephalus microplus (Acari: Ixodidae) with different resistance profiles. Veterinary Parasitology, v. 286, 109226, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | SANTOS, I. S.; TAVARES, C. P.; KLAFKE, G. M.; RECK, J.; MONTEIRO, C. M. O.; PRATA, M. C. de A.; GOLO. P. S.; SILVA, A. C.; COSTA-JUNIOR, L. M. Automatic method based on deep learning to identify and account Rhipicephalus microplus larval hatching. Medical and Veterinary Entomology, v. 37, p. 665-674, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 30 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
30/11/2023 |
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Data da última atualização: |
30/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SANTOS, I. S.; TAVARES, C. P.; KLAFKE, G. M.; RECK, J.; MONTEIRO, C. M. O.; PRATA, M. C. de A.; GOLO. P. S.; SILVA, A. C.; COSTA-JUNIOR, L. M. |
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Afiliação: |
IGOR S. SANTOS, UNIVERSIDADE FEDERAL DO MARANHÃO; CAIO P. TAVARES, UNIVERSIDADE FEDERAL DO MARANHÃO; GUILHERME M. KLAFKE, INSTITUTO DE PESQUISAS VETERINÁRIAS DESIDÉRIO FINAMOR; JOSÉ RECK, INSTITUTO DE PESQUISAS VETERINÁRIAS DESIDÉRIO FINAMOR; CAIO M. O. MONTEIRO, UNIVERSIDADE FEDERAL DE GOIÁS; MARCIA CRISTINA DE AZEVEDO PRATA, CNPGL; PATRÍCIA S. GOLO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; ARISTOFANES C. SILVA, UNIVERSIDADE FEDERAL DO MARANHÃO; LIVIO M. COSTA-JUNIOR, UNIVERSIDADE FEDERAL DO MARANHÃO. |
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Título: |
Automatic method based on deep learning to identify and account Rhipicephalus microplus larval hatching. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Medical and Veterinary Entomology, v. 37, p. 665-674, 2023. |
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DOI: |
http://doi.org/10.1111/mve.12664 |
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Idioma: |
Inglês |
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Conteúdo: |
Reports of Rhipicephalus microplus resistant populations worldwide have increased extensively, making it difficult to control this ectoparasite. The adult immersion test, commonly used to screen for acaricide resistance, produces the results only after 40 days of the tick collection because it needs the eggs to be laid and larvae to hatch. The present study aims to develop an automatic method, based on deep learning, to predict the hatching of R. microplus larva based on egg morphology. Initially, the time course of embryonic development of tick eggs was performed to discriminate between viable and non-viable eggs. Secondly, using artificial intelligence deep learning techniques, a method was developed to classify and count the eggs. The larval hatching rate of three populations of R. microplus was evaluated for the software validation process. Groups of three and six images of eggs with 12 days of embryonic development were submitted to the software to predict the larval hatching percent automatically. The results obtained by the software were compared with the prediction results of the hatching percentage performed manually by the specialist and with the results of the hatching percentage of larvae obtained in the biological assay. The group with three images of each population submitted to the software for automatic prediction of the larval hatching percent presented mean values of 96.35% ± 3.33 (Piracanjuba population), 95.98% ± 3.5 (Desterro population) and 0.0% ± 0.0 (Barbalha population). For groups with six images, the values were 94.41% ± 3.84 (Piracanjuba population), 95.93% ± 2.36 (Desterro population) and 0.0% ± 0.0 (Barbalha population). Biological assays showed the following hatching percentage values: 98% ± 1.73 (Piracanjuba population); 96% ± 2.1 (Desterro population); and 0.14% ± 0.25 (Barbalha population). There was no statistical difference between the evaluated methods. The automatic method for predicting the hatching percentage of R. microplus larvae was validated and proved to be effective, with considerable reduction in time to obtain results. MenosReports of Rhipicephalus microplus resistant populations worldwide have increased extensively, making it difficult to control this ectoparasite. The adult immersion test, commonly used to screen for acaricide resistance, produces the results only after 40 days of the tick collection because it needs the eggs to be laid and larvae to hatch. The present study aims to develop an automatic method, based on deep learning, to predict the hatching of R. microplus larva based on egg morphology. Initially, the time course of embryonic development of tick eggs was performed to discriminate between viable and non-viable eggs. Secondly, using artificial intelligence deep learning techniques, a method was developed to classify and count the eggs. The larval hatching rate of three populations of R. microplus was evaluated for the software validation process. Groups of three and six images of eggs with 12 days of embryonic development were submitted to the software to predict the larval hatching percent automatically. The results obtained by the software were compared with the prediction results of the hatching percentage performed manually by the specialist and with the results of the hatching percentage of larvae obtained in the biological assay. The group with three images of each population submitted to the software for automatic prediction of the larval hatching percent presented mean values of 96.35% ± 3.33 (Piracanjuba population), 95.98% ± 3.5 (Desterro population) and 0.0% ± 0.0 (... Mostrar Tudo |
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Palavras-Chave: |
Controle; Eclosão larval; Larval hatching. |
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Thesagro: |
Carrapato; Larva; Ovo; Resistência. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03010naa a2200313 a 4500
001 2158936
005 2023-11-30
008 2023 bl uuuu u00u1 u #d
024 7 $ahttp://doi.org/10.1111/mve.12664$2DOI
100 1 $aSANTOS, I. S.
245 $aAutomatic method based on deep learning to identify and account Rhipicephalus microplus larval hatching.$h[electronic resource]
260 $c2023
520 $aReports of Rhipicephalus microplus resistant populations worldwide have increased extensively, making it difficult to control this ectoparasite. The adult immersion test, commonly used to screen for acaricide resistance, produces the results only after 40 days of the tick collection because it needs the eggs to be laid and larvae to hatch. The present study aims to develop an automatic method, based on deep learning, to predict the hatching of R. microplus larva based on egg morphology. Initially, the time course of embryonic development of tick eggs was performed to discriminate between viable and non-viable eggs. Secondly, using artificial intelligence deep learning techniques, a method was developed to classify and count the eggs. The larval hatching rate of three populations of R. microplus was evaluated for the software validation process. Groups of three and six images of eggs with 12 days of embryonic development were submitted to the software to predict the larval hatching percent automatically. The results obtained by the software were compared with the prediction results of the hatching percentage performed manually by the specialist and with the results of the hatching percentage of larvae obtained in the biological assay. The group with three images of each population submitted to the software for automatic prediction of the larval hatching percent presented mean values of 96.35% ± 3.33 (Piracanjuba population), 95.98% ± 3.5 (Desterro population) and 0.0% ± 0.0 (Barbalha population). For groups with six images, the values were 94.41% ± 3.84 (Piracanjuba population), 95.93% ± 2.36 (Desterro population) and 0.0% ± 0.0 (Barbalha population). Biological assays showed the following hatching percentage values: 98% ± 1.73 (Piracanjuba population); 96% ± 2.1 (Desterro population); and 0.14% ± 0.25 (Barbalha population). There was no statistical difference between the evaluated methods. The automatic method for predicting the hatching percentage of R. microplus larvae was validated and proved to be effective, with considerable reduction in time to obtain results.
650 $aCarrapato
650 $aLarva
650 $aOvo
650 $aResistência
653 $aControle
653 $aEclosão larval
653 $aLarval hatching
700 1 $aTAVARES, C. P.
700 1 $aKLAFKE, G. M.
700 1 $aRECK, J.
700 1 $aMONTEIRO, C. M. O.
700 1 $aPRATA, M. C. de A.
700 1 $aGOLO. P. S.
700 1 $aSILVA, A. C.
700 1 $aCOSTA-JUNIOR, L. M.
773 $tMedical and Veterinary Entomology$gv. 37, p. 665-674, 2023.
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