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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
30/11/2023 |
Data da última atualização: |
30/11/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Automatic method based on deep learning to identify and account Rhipicephalus microplus larval hatching. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Medical and Veterinary Entomology, v. 37, p. 665-674, 2023. |
DOI: |
http://doi.org/10.1111/mve.12664 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Controle; Eclosão larval; Larval hatching. |
Thesagro: |
Carrapato; Larva; Ovo; Resistência. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registros recuperados : 11 | |
1. | | MARCIANO, A. F.; MASCARIN, G. M.; FRANCO, R. F. F.; GOLO, P. S.; JARONSKI, S. T.; FERNANDES, E. K. K.; BITTENCOURT, V. R. E. P. Innovative granular formulation of Metarhizium robertsii microsclerotia and blastospores for cattle tick control. Scientific Reports, v. 11, n. 1, article 4972, 2021. p. 1-11.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Meio Ambiente. |
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2. | | MARCHESINI, P.; BITTENCOURT, R.; GOLO, P.; PERINOTTO, W. M. S.; PRATA, M. C. de A.; ANGELO, I.; BITTENCOURT, V. R. P.; MONTEIRO, C. Perfil lipídico de corpo gorduroso de fêmeas de Rhipicephalus microplus infectadas por fungos e nematóides entomopatogênicos. In: CONGRESSO BRASILEIRO DE PARASITOLOGIA VETERINÁRIA, 21., 2022, Ilhéus. Antigos problemas, novos paradigmas: resumos. Ilhéus: Sociedade Brasileira de Parasitologia Veterinária, 2022. p. 643.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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3. | | MARCHESINI, P.; GOLO, P.; PERINOTTO, W. M. S.; CAMARGO, M. G.; PRATA, M. C. de A.; MONTEIRO, C. M. O.; ANGELO, I. C.; BITTENCOURT, V. R. E. P. Perfil lipídico de corpo gorduroso de femeas de Rhipicephalus microplus infectadas por fungos e nematoides entomopatogênicos. In: CONGRESSO BRASILEIRO DE PARASITOLOGIA VETERINÁRIA, 20., 2018, Londrina. Anais. Londrina: CBPV, 2018.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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4. | | 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.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Gado de Leite. |
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5. | | MONTEIRO, C. M. DE O.; ARAÚJO, L. X.; MATOS, R. DA S.; GOLO, P. DA S.; ANGELO, I. C.; PERINOTTO, W. M. DE S.; RODRIGUES, C. A. C.; FURLONG, J.; BITTENCOURT, V. R. E. P.; PRATA, M. C. de A. Association between entomopathogenic nematodes and fungi for control of Rhipicephalus microplus (Acari: Ixodidae). Parasitology Research, v. 12, n. 10, p. 3645-3651, 2013.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Gado de Leite. |
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6. | | CAMARGO, M. G.; MARCIANO, A. F.; SÁ, F. A.; PERINOTTO, W. M. S.; QUINELATO, S.; GÔLO, P. S.; ANGELO, I. C.; PRATA, M. C. de A.; BITTENCOURT, V. R. E. P. Commercial formulation of Metarhizium anisopliae for the control of Rhipicephalus microplus in a pen study. Veterinary Parasitology, n. 205, p. 271-276, 2014.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Gado de Leite. |
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7. | | PERINOTTO, W. M. S.; MONTEIRO, C. M. O.; ARAÚJO, L. X.; SÁ, F. A.; ÂNGELO, I. C.; GOLO, P. S.; BITTENCOURT, V. R. E. P.; PRATA, M. C. de A.; FURLONG, J. Compatibilidade de Heterorhabditis bacteriophora HP88 com fungos entomopatogênicos para o controle de Rhipicephalus microplus (Acari: Ixodidae). In: SIMPÓSIO BRASILEIRO DE ACAROLOGIA, 4., 2013, Bento Gonçalves. Organização, perspectivas e desafios da acarologia brasileira. Bento Gonçalves: [s.n.], 2013.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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8. | | MONTEIRO, C. M. O.; ARAÚJO, L. X.; ÂNGELO, I. C.; GOLO, P. S.; PERINOTTO, W. M. S.; BITTENCOURT, V. R. E. P.; PRATA, M. C. de A.; FURLONG, J. Compatibilidade de Heterorhabditis indica LPP1 com fungos entomopatogênicos para o controle de Rhipicephalus microplus (Acari: ixodidae). In: SIMPÓSIO BRASILEIRO DE ACAROLOGIA, 4., 2013, Bento Gonçalves. Organização, perspectivas e desafios da acarologia brasileira. Bento Gonçalves: [s.n.], 2013.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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9. | | MONTEIRO, C. M. DE O.; MATOS, R. DA S.; ARAUJO, L. X.; PERINOTTO, W. M. DE S.; GOLO, P.; PRATA, M. C. de A.; BITTENCOURT, V. R. E. P.; DOLINSK, C.; FURLONG, J. Patogenicidade de nematoides entomopatogenicos associados com Metarhizium anisopliae sobre femeas ingurgitadas de Rhipicephalus microplus. In: CONGRESSO BRASILEIRO DE PARASITOLOGIA VETERINÁRIA, 17., 2012, São Luis. Parasitologia veterinária, bem estar e produção animal: anais. São Luis: Colégio Brasileiro de Parasitologia Veterinária, 2012. p. 167Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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10. | | CAMARGO, M. G.; MARCIANO, A. F.; SÁ, F. A.; PERINOTTO, W. M. S.; QUINELATO, S.; GOLO, P. S.; ANGELO, I. C.; PRATA, M. C. de A.; BITTERNCOURT, V. R. E. P. Use of a commercial Metarhizium anisopliae s.l. formulation to control Rhipicephalus microplus ticks in pen study. Mainz Germany: Society for invertebrate pathology, 2014.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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11. | | GOLO, P. S.; SANTOS, A. S. de O. dos; MONTEIRO, C. M. O.; PERINOTTO, W. M. de S.; QUINELATO, S.; CAMARGO, M. G.; SÁ, F. A. de; ANGELO, I. da C.; MARTINS, M. F.; PRATA, M. C. de A.; BITTENCOURT, V. R. E. P. Lab-on-a-chip and SDS-PAGE analysis of hemolymph protein profile from Rhipicephalus microplus (Acari: Ixodidae) infected with entomopathogenic nematode and fungus. Parasitology Research, n. 115, p. 3459-3468, 2016.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Gado de Leite. |
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Registros recuperados : 11 | |
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Nenhum registro encontrado para a expressão de busca informada. |
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