Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Ciência animal brasileira (Online) |
Texto Completo: | https://revistas.ufg.br/vet/article/view/76726 |
Resumo: | Mastitis is one of the most prevalent diseases in dairy cattle globally, ranking at the top in terms of prevalence and incidence. It impacts milk production and quality, subsequently decreasing economic returns and farm sustainability. Early diagnosis and treatment of mastitis are crucial to mitigate its detrimental effects on both animals and the dairy industry. Infrared thermography (IRT) in animals serves as a clinically relevant method to detect pathophysiological changes, marked by thermal variations caused by inflammation. This study aimed to evaluate the potential of IRT as a diagnostic tool for clinical and subclinical mastitis in Girolando and Jersey cows. We examined 78 udder quarters from Girolando cows and 104 from Jersey cows, all from farms in the Adamantina region. Differences in IRT image intensities were compared with anterior and posterior udder temperatures at a single central point or area, correlating with results from Tamis and CMT tests. All analyses were conducted in R software, with a significance level set at 5%. When evaluating thermographic images, the effect size was significant for the breed and CMT test, but not for the Tamis test. In conclusion, IRT exhibits potential in screening for subclinical mastitis in the evaluated breeds, demonstrating a predictive diagnostic capability similar to the CMT, albeit with a temperature difference between them. Their measurements, whether at a point or an area of the mammary gland, were found to be equivalent.Keywords: diagnosis; mammary gland; thermal imaging; inflammation. |
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Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breedsTermografia infravermelha na detecção de mastite clínica e subclínica em bovinos de leite: comparação entre as raças Girolando e JerseyMastitis is one of the most prevalent diseases in dairy cattle globally, ranking at the top in terms of prevalence and incidence. It impacts milk production and quality, subsequently decreasing economic returns and farm sustainability. Early diagnosis and treatment of mastitis are crucial to mitigate its detrimental effects on both animals and the dairy industry. Infrared thermography (IRT) in animals serves as a clinically relevant method to detect pathophysiological changes, marked by thermal variations caused by inflammation. This study aimed to evaluate the potential of IRT as a diagnostic tool for clinical and subclinical mastitis in Girolando and Jersey cows. We examined 78 udder quarters from Girolando cows and 104 from Jersey cows, all from farms in the Adamantina region. Differences in IRT image intensities were compared with anterior and posterior udder temperatures at a single central point or area, correlating with results from Tamis and CMT tests. All analyses were conducted in R software, with a significance level set at 5%. When evaluating thermographic images, the effect size was significant for the breed and CMT test, but not for the Tamis test. In conclusion, IRT exhibits potential in screening for subclinical mastitis in the evaluated breeds, demonstrating a predictive diagnostic capability similar to the CMT, albeit with a temperature difference between them. Their measurements, whether at a point or an area of the mammary gland, were found to be equivalent.Keywords: diagnosis; mammary gland; thermal imaging; inflammation.A mastite é uma das doenças mais comuns do gado leiteiro em todo o mundo, ocupando o primeiro lugar, com alta prevalência e incidência. Afeta a produção e a qualidade do leite, diminuindo o retorno econômico e a sustentabilidade da fazenda. A precocidade do diagnóstico e tratamento da mastite é de extrema importância, visando diminuir os danos, tanto para o animal quanto para o produtor e a indústria. A termografia infravermelha (TI) em animais é um método clinicamente útil para detectar alterações fisiopatológicas, por meio de variações térmicas, causadas pela inflamação. Este trabalho objetivou avaliar o potencial da técnica de TI para o diagnóstico de mastite clínica e subclínica em vacas Girolando e Jersey. Foram avaliados 78 quartos de vacas Girolando e 104 de Jersey pertencentes a propriedades rurais de Adamantina e região. As diferenças das intensidades das imagens por TI foram comparadas com as temperaturas do quarto anterior e posterior, em um único ponto central ou área, em relação aos resultados dos testes de Tamis e CMT. Todas as análises foram realizadas no Software R, sendo adotado um nível de significância igual a 5%. Quando a imagem termográfica foi avaliada, o tamanho do efeito foi significativo para raça e para o teste de CMT, porém não para o teste de Tamis. Em conclusão, a TI tem potencial no rastreamento de mastite subclínica nas raças avaliadas, com capacidade diagnóstica preditiva semelhante ao CMT, mas com diferença de temperatura entre elas, sendo equivalentes suas mensurações em ponto ou área da glândula mamária.Palavras-chave: diagnóstico; glândula mamária; imagem térmica; inflamação.Universidade Federal de Goiás2023-10-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revistas.ufg.br/vet/article/view/76726Brazilian Animal Science/ Ciência Animal Brasileira; Vol. 24 (2023): Continuous publicationCiência Animal Brasileira / Brazilian Animal Science; v. 24 (2023): Publicação contínua1809-68911518-2797reponame:Ciência animal brasileira (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGporenghttps://revistas.ufg.br/vet/article/view/76726/40287https://revistas.ufg.br/vet/article/view/76726/40288Copyright (c) 2023 Ciência Animal Brasileira / Brazilian Animal Sciencehttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRibeiro, Isabele PessoaGonçalves, Pablo Henrique DelaiRodrigues, Manoela Simionato Nascimento, Guilherme Batista doBaptista , Rafaela SperanzaCalil Filho , José Ruben LacerdaWolf, AlexandreWolf, Sandra Helena Gabaldi2023-10-11T14:05:46Zoai:ojs.revistas.ufg.br:article/76726Revistahttps://revistas.ufg.br/vetPUBhttps://revistas.ufg.br/vet/oai||revistacab@gmail.com1809-68911518-2797opendoar:2024-05-21T19:56:37.911227Ciência animal brasileira (Online) - Universidade Federal de Goiás (UFG)true |
dc.title.none.fl_str_mv |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds Termografia infravermelha na detecção de mastite clínica e subclínica em bovinos de leite: comparação entre as raças Girolando e Jersey |
title |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds |
spellingShingle |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds Ribeiro, Isabele Pessoa |
title_short |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds |
title_full |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds |
title_fullStr |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds |
title_full_unstemmed |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds |
title_sort |
Infrared thermography for detection of clinical and subclinical mastitis in dairy cattle: comparison between Girolando and Jersey breeds |
author |
Ribeiro, Isabele Pessoa |
author_facet |
Ribeiro, Isabele Pessoa Gonçalves, Pablo Henrique Delai Rodrigues, Manoela Simionato Nascimento, Guilherme Batista do Baptista , Rafaela Speranza Calil Filho , José Ruben Lacerda Wolf, Alexandre Wolf, Sandra Helena Gabaldi |
author_role |
author |
author2 |
Gonçalves, Pablo Henrique Delai Rodrigues, Manoela Simionato Nascimento, Guilherme Batista do Baptista , Rafaela Speranza Calil Filho , José Ruben Lacerda Wolf, Alexandre Wolf, Sandra Helena Gabaldi |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Ribeiro, Isabele Pessoa Gonçalves, Pablo Henrique Delai Rodrigues, Manoela Simionato Nascimento, Guilherme Batista do Baptista , Rafaela Speranza Calil Filho , José Ruben Lacerda Wolf, Alexandre Wolf, Sandra Helena Gabaldi |
description |
Mastitis is one of the most prevalent diseases in dairy cattle globally, ranking at the top in terms of prevalence and incidence. It impacts milk production and quality, subsequently decreasing economic returns and farm sustainability. Early diagnosis and treatment of mastitis are crucial to mitigate its detrimental effects on both animals and the dairy industry. Infrared thermography (IRT) in animals serves as a clinically relevant method to detect pathophysiological changes, marked by thermal variations caused by inflammation. This study aimed to evaluate the potential of IRT as a diagnostic tool for clinical and subclinical mastitis in Girolando and Jersey cows. We examined 78 udder quarters from Girolando cows and 104 from Jersey cows, all from farms in the Adamantina region. Differences in IRT image intensities were compared with anterior and posterior udder temperatures at a single central point or area, correlating with results from Tamis and CMT tests. All analyses were conducted in R software, with a significance level set at 5%. When evaluating thermographic images, the effect size was significant for the breed and CMT test, but not for the Tamis test. In conclusion, IRT exhibits potential in screening for subclinical mastitis in the evaluated breeds, demonstrating a predictive diagnostic capability similar to the CMT, albeit with a temperature difference between them. Their measurements, whether at a point or an area of the mammary gland, were found to be equivalent.Keywords: diagnosis; mammary gland; thermal imaging; inflammation. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-10-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufg.br/vet/article/view/76726 |
url |
https://revistas.ufg.br/vet/article/view/76726 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://revistas.ufg.br/vet/article/view/76726/40287 https://revistas.ufg.br/vet/article/view/76726/40288 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Ciência Animal Brasileira / Brazilian Animal Science http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Ciência Animal Brasileira / Brazilian Animal Science http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
Brazilian Animal Science/ Ciência Animal Brasileira; Vol. 24 (2023): Continuous publication Ciência Animal Brasileira / Brazilian Animal Science; v. 24 (2023): Publicação contínua 1809-6891 1518-2797 reponame:Ciência animal brasileira (Online) instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Ciência animal brasileira (Online) |
collection |
Ciência animal brasileira (Online) |
repository.name.fl_str_mv |
Ciência animal brasileira (Online) - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
||revistacab@gmail.com |
_version_ |
1799874791314817024 |