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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
15/03/2022 |
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Data da última atualização: |
15/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, V. A.; LANA, A. M. Q.; BRESOLIN, T.; TOMICH, T. R.; SOUZA, G. M.; FURLONG, J.; RODRIGUES, J. P. P.; COELHO, S. G.; GONÇALVES, L. C.; SILVEIRA, J. A. G.; FERREIRA, L. D.; FACURY FILHO, E. J.; CAMPOS, M. M.; DOREA, J. R. R.; PEREIRA, L. G. R. |
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Afiliação: |
Universidade Federal de Minas Gerais; Universidade Federal de Minas Gerais; University of Wisconsin; THIERRY RIBEIRO TOMICH, CNPGL; Universidade Federal de Lavras; Universidade do Sul e Sudeste do Pará; Universidade Federal de Minas Gerais; Universidade Federal de Minas Gerais; Universidade Federal de Minas Gerais; Universidade Federal de Mina Gerais; Universidade Federal de Minas Gerais; MARIANA MAGALHAES CAMPOS, CNPGL; University of Wisconsin; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL. |
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Título: |
Using rumination and activity data for early detection of anaplasmosis disease in dairy heifer calves. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Journal of Dairy Science, v. 105, n. 5, p. 1-13, 2022. |
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DOI: |
https://doi.org/10.3168/jds.2021-20952 |
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Idioma: |
Inglês |
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Conteúdo: |
Bovine anaplasmosis causes considerable economic losses in dairy cattle production systems worldwide, ranging from $300 million to $900 million annually. It is commonly detected through rectal temperature, blood smear microscopy, and packed cell volume (PCV). Such methodologies are laborious, costly, and difficult to systematically implement in large-scale operations. The objectives of this study were to evaluate (1) rumination and activity data collected by Hr-Tag sensors (SCR Engineers Ltd.) in heifer calves exposed to anaplasmosis; and (2) the predictive ability of recurrent neural networks in early identification of anaplasmosis. Additionally, we aimed to investigate the effect of time series length before disease diagnosis (5, 7, 10, or 12 consecutive days) on the predictive performance of recurrent neural networks, and how early anaplasmosis disease can be detected in dairy calves (5, 3, and 1 d in advance). Twenty-three heifer calves aged 119 ± 15 (mean ± SD) d and weighing 148 ± 20 kg of body weight were challenged with 2 × 107 erythrocytes infected with UFMG1 strain (GenBank no. EU676176) isolated from Anaplasma marginale. After inoculation, animals were monitored daily by assessing PCV. The lowest PCV value (14 ± 1.8%) and the finding of rickettsia on blood smears were used as a criterion to classify an animal as sick (d 0). Rumination and activity data were collected continuously and automatically at 2-h intervals, using SCR Heatime Hr-Tag collars. Two time series were built including last sequence of ?5, ?7, ?10, or ?12 d preceding d 0 or a sequence of 5, 7, 10, or 12 d randomly selected in a window from ?50 to ?15 d before d 0 to ensure a sequence of days in which PCV was considered normal (32 ± 2.4%). Long shortterm memory was used as a predictive approach, and a leave-one-animal-out cross-validation (LOAOCV) was used to assess prediction quality. Anaplasmosis disease reduced 34 and 11% of rumination and activity, respectively. The accuracy, sensitivity, and specificity of long short-term memory in detecting anaplasmosis ranged from 87 to 98%, 83 to 100%, and 83 to 100%, respectively, using rumination data. For activity data, the accuracy, sensitivity, and specificity varied from 70 to 98%, 61 to 100%, and 74 to 100%, respectively. Predictive performance did not improve when combining rumination and activity. The use of longer time-series did not improve the performance of models to predict anaplasmosis. The accuracy and sensitivity in predicting anaplasmosis up to 3 d before clinical diagnosis (d 0) were greater than 80%, confirming the possibility for early identification of Anaplasmosis disease. These findings indicate the great potential of wearable sensors in early identification of anaplasmosis diseases. This could positively affect the profitability of dairy farmers and animal welfare. MenosBovine anaplasmosis causes considerable economic losses in dairy cattle production systems worldwide, ranging from $300 million to $900 million annually. It is commonly detected through rectal temperature, blood smear microscopy, and packed cell volume (PCV). Such methodologies are laborious, costly, and difficult to systematically implement in large-scale operations. The objectives of this study were to evaluate (1) rumination and activity data collected by Hr-Tag sensors (SCR Engineers Ltd.) in heifer calves exposed to anaplasmosis; and (2) the predictive ability of recurrent neural networks in early identification of anaplasmosis. Additionally, we aimed to investigate the effect of time series length before disease diagnosis (5, 7, 10, or 12 consecutive days) on the predictive performance of recurrent neural networks, and how early anaplasmosis disease can be detected in dairy calves (5, 3, and 1 d in advance). Twenty-three heifer calves aged 119 ± 15 (mean ± SD) d and weighing 148 ± 20 kg of body weight were challenged with 2 × 107 erythrocytes infected with UFMG1 strain (GenBank no. EU676176) isolated from Anaplasma marginale. After inoculation, animals were monitored daily by assessing PCV. The lowest PCV value (14 ± 1.8%) and the finding of rickettsia on blood smears were used as a criterion to classify an animal as sick (d 0). Rumination and activity data were collected continuously and automatically at 2-h intervals, using SCR Heatime Hr-Tag collars. Two time series... Mostrar Tudo |
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Palavras-Chave: |
Inteligência artificial. |
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Thesagro: |
Anaplasma Marginale; Animal Invertebrado; Doença Animal; Gado Leiteiro; Ruminação; Ruminante. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232520/1/Using-rumination.pdf
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Marc: |
LEADER 04002naa a2200385 a 4500
001 2140888
005 2022-03-15
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3168/jds.2021-20952$2DOI
100 1 $aTEIXEIRA, V. A.
245 $aUsing rumination and activity data for early detection of anaplasmosis disease in dairy heifer calves.$h[electronic resource]
260 $c2022
520 $aBovine anaplasmosis causes considerable economic losses in dairy cattle production systems worldwide, ranging from $300 million to $900 million annually. It is commonly detected through rectal temperature, blood smear microscopy, and packed cell volume (PCV). Such methodologies are laborious, costly, and difficult to systematically implement in large-scale operations. The objectives of this study were to evaluate (1) rumination and activity data collected by Hr-Tag sensors (SCR Engineers Ltd.) in heifer calves exposed to anaplasmosis; and (2) the predictive ability of recurrent neural networks in early identification of anaplasmosis. Additionally, we aimed to investigate the effect of time series length before disease diagnosis (5, 7, 10, or 12 consecutive days) on the predictive performance of recurrent neural networks, and how early anaplasmosis disease can be detected in dairy calves (5, 3, and 1 d in advance). Twenty-three heifer calves aged 119 ± 15 (mean ± SD) d and weighing 148 ± 20 kg of body weight were challenged with 2 × 107 erythrocytes infected with UFMG1 strain (GenBank no. EU676176) isolated from Anaplasma marginale. After inoculation, animals were monitored daily by assessing PCV. The lowest PCV value (14 ± 1.8%) and the finding of rickettsia on blood smears were used as a criterion to classify an animal as sick (d 0). Rumination and activity data were collected continuously and automatically at 2-h intervals, using SCR Heatime Hr-Tag collars. Two time series were built including last sequence of ?5, ?7, ?10, or ?12 d preceding d 0 or a sequence of 5, 7, 10, or 12 d randomly selected in a window from ?50 to ?15 d before d 0 to ensure a sequence of days in which PCV was considered normal (32 ± 2.4%). Long shortterm memory was used as a predictive approach, and a leave-one-animal-out cross-validation (LOAOCV) was used to assess prediction quality. Anaplasmosis disease reduced 34 and 11% of rumination and activity, respectively. The accuracy, sensitivity, and specificity of long short-term memory in detecting anaplasmosis ranged from 87 to 98%, 83 to 100%, and 83 to 100%, respectively, using rumination data. For activity data, the accuracy, sensitivity, and specificity varied from 70 to 98%, 61 to 100%, and 74 to 100%, respectively. Predictive performance did not improve when combining rumination and activity. The use of longer time-series did not improve the performance of models to predict anaplasmosis. The accuracy and sensitivity in predicting anaplasmosis up to 3 d before clinical diagnosis (d 0) were greater than 80%, confirming the possibility for early identification of Anaplasmosis disease. These findings indicate the great potential of wearable sensors in early identification of anaplasmosis diseases. This could positively affect the profitability of dairy farmers and animal welfare.
650 $aAnaplasma Marginale
650 $aAnimal Invertebrado
650 $aDoença Animal
650 $aGado Leiteiro
650 $aRuminação
650 $aRuminante
653 $aInteligência artificial
700 1 $aLANA, A. M. Q.
700 1 $aBRESOLIN, T.
700 1 $aTOMICH, T. R.
700 1 $aSOUZA, G. M.
700 1 $aFURLONG, J.
700 1 $aRODRIGUES, J. P. P.
700 1 $aCOELHO, S. G.
700 1 $aGONÇALVES, L. C.
700 1 $aSILVEIRA, J. A. G.
700 1 $aFERREIRA, L. D.
700 1 $aFACURY FILHO, E. J.
700 1 $aCAMPOS, M. M.
700 1 $aDOREA, J. R. R.
700 1 $aPEREIRA, L. G. R.
773 $tJournal of Dairy Science$gv. 105, n. 5, p. 1-13, 2022.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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| Registros recuperados : 94 | |
| 1. |  | FREITAS, G. A. R.; COELHO, S. G.; GONCALVES, L. C.; RODRIGUES, J. A. S.; BORGES, I. Consumo e digestibilidade aparente da matéria seca, proteína e energia bruta, e balanco de nitrogênio das silagens de cinco genótipos de milho. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 55, n. 4, p. 443-449, 2003.| Tipo: Artigo em Periódico Indexado |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 7. | | AZEVEDO, R. A. de; ARAÚJO, L.; COELHO, S. G.; FARIA FILHOI, D. E. de; DUARTE, E. R.; GERASEEV, L. C. Desempenho de bezerros alimentados com silagem de leite de transição. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 5, p. 545-552, maio 2013. Título em inglês: Performance of calves fed silage transition milk.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 10. | | SOUZA, R. S. de; LEÃO, J. M.; CAMPOS, J. C.; COELHO, S. G.; CAMPOS, M. M.; LIMA, J. A. M.; FARIA, B. K. A. Avaliação da correlação entre proteína plasmática total do soro de bezerras F1 mestiças Holandês x Zebu avaliada com refratômetro óptico e digital. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 52., 2015, Belo Horizonte. Zootecnia: otimizando recursos e potencialidades: anais. Belo Horizonte: Sociedade Brasileira de Zootecnia, 2015. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
|  |
| 11. | | NOBRE, M. M.; COELHO, S. G.; HADDAD, J. P. A.; CAMPOS, E. F.; LANA, A. M. Q.; REIS, R. B.; SATURNINO, H. M. Avaliação da incidência e fatores de risco da retenção de placenta em vacas mestiças leiteiras. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 64, n. 1, p. 101-107, 2012.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | FURINI, P. M.; SANTOS, G. B.; AZEVEDO, R. A.; RUFINO, S. R. de A.; CARVALHO, B. C. de; MACHADO, F. S.; CAMPOS, M. M.; COELHO, S. G. Avaliação do desenvolvimento da glândula mamária de bezerras mestiças leiteiras até os 90 dias de idade por meio de ultrassonografia. In: CONGRESSO INTERNACIONAL DO LEITE, 13., 2015, Porto Alegre. Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. 4 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 14. | | MARTINS, P. do C.; CAMPOS, M. M.; LIMA, J. A.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; FERREIRA, A. L.; COELHO, S. G. O desempenho do crescimento em mestiças (Holandês x Gir) novilhas leteiras diferentes no consumo alimentar residual fenotipica. In: INTERNATIONAL MEETING OF ADVANCES IN ANIMAL SCIENCE, 1., 2016, Jaboticabal. Anais ... Jaboticabal: [s.n.], 2016.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | SOARES, G. O.; NEVES, L. F. M.; GOMES, M. B.; FERREIRA, S. E.; SILVA, A. S.; DIAVÃO, J.; COELHO, S. G.; MACHADO, F. S.; CAMPOS, M. M. Consumo de leite, concentrado e água de bezerros holandeses nos primeiros 28 dias de idade sob estresse térmico por calor. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE PIBIC/CNPQ, 26., 2022, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2022. p. 30-34.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | MATOS, J. P. C. De; RUFINO, S. R. De A.; CARVALHO, B. C. de; CAMPOS, M. M.; COELHO, S. G.; PIRES, M. de F. A. Comportamento de bezerros na fase de cria: utilização de abrigo móvel. In: SIMPÓSIO BRASILEIRO DE AGROPECUÁRIA SUSTENTÁVEL., 8.; INTERNATIONAL CONFERENCE ON SUSTAINABLE AGRICULTURE, 5. Sinop. Ciência, tecnologia e inovação para o desenvolvimento sustentável das novas fronteiras agrícolas: anais. [Sinop: SIMBRAS], 2016. p. 180-184.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | LOURES, A. R. S.; GOMES, M. B.; NEVES, L. F. M.; FERREIRA, S. E.; SILVA, A. S.; COELHO, S. G.; CARVALHO, W. A.; CAMPOS, M. M. O estresse térmico por calor altera a saúde em bezerros leiteiros? In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 27., 2023, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2024. p. 99-103. (Embrapa Gado de Leite. Eventos Técnicos & Científicos, 2). Pibic/CNPq.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | LOMBARDI, M. C.; DINIZ NETO, H. do C.; COELHO, S. G.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; CAMPOS, M. M. Evaluation of ingestive behavior, ruminal and blood parameters, performance, and thermography as a phenotypic divergence markers of residual feed intake in rearing dairy heifers. Animals, v. 12, n. 3, article 331, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | JOLOMBA, J. R.; MARCONDES, M. I.; VELOSO, C. M.; OSS, D. B.; AZEVEDO, R. A.; COELHO, S. G.; CAMPOS, M. M. Breed effect on energy requirements of crossbred (Holstein x Gyr) or purebred Holstein calves. In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 381-383.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | RAMOS JÚNIOR, W. L.; CAMPOLINA, J. P.; BELLI, A. L.; CAMPOS, M. M.; COELHO, S. G.; RIBEIRO, A. K. do C.; MACHADO, F. S. Efeito da suplementação com óleos essenciais adicionados ao sucedâneo sobre o peso de vísceras de bezerros mestiços (Holandês-Gir). In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 23., 2019, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2019. (Embrapa Gado de Leite. Documentos, 234). 4 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 94 | |
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