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The Detection of Rectal Temperature in Dairy Cattle by Using Infrared Digital Laser Thermometer
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O estresse calórico em bovinos de leite pode comprometer diversas funções fisiológicas, incluindo produção de leite, reprodução e função imunológica. Os objetivos deste estudo foram correlacionar a temperatura da superfície corporal (TSC) e a temperatura retal (TR) de vacas leiteiras usando um termômetro digital a laser infravermelho, bem como determinar a emissividade ideal. Dez vacas leiteiras foram mantidas em área coberta por três dias consecutivos. As medidas de TSC e TR foram realizadas às 8h, 13h e 16h, todos os dias. As leituras térmicas foram feitas em quatro localizações anatômicas distintas: face, caixa torácica, garupa e glândula mamária nas emissividades de 0,95 e 0,50. As temperaturas e localizações anatômicas das medidas térmicas foram avaliadas por ANOVA e as médias foram comparadas usando o Teste Tukey a 5%. Emissividade em 0,50 não estabeleceu correlação significativa (P>0,05) entre TSC e TR, enquanto uma correlação significativa (P<0,05) foi obtida na emissividade 0,95. Portanto, a emissividade de 0,95 foi utilizada para avaliar as variáveis. Foi estabelecida a seguinte equação: RT = 0,143 x BST + 33,534, que se mostrou significativa com coeficiente de determinação de 82%. Os resultados deste estudo sugerem que a utilização de termômetro digital a laser infravermelho com emissividade de 0,95 direcionada para a região média da caixa torácica pode ser eficiente para estimar a temperatura retal de vacas leiteiras.
Palavras-chave: Bem-Estar Animal. Emissividade. Estresse Calórico. Termorregulação.
Abstract
Heat stress in dairy cattle can jeopardize several physiological functions, including milk production, reproduction and immune function. The objectives of this study were to correlate body surface temperature (BST) and rectal temperature (RT) of dairy cows by using an infrared digital laser thermometer as well as to determine the ideal emissivity. Ten dairy cows were maintained under a covered area for three consecutive days. BST and RT measurements were taken at 8 am, 01 pm and 04 pm every day. Thermal readings were carried out at four distinct anatomic locations: the face, ribcage, rump, and mammary gland at 0.95 and 0.50 emissivity. The temperatures and anatomic locations of thermal measurements were evaluated by ANOVA and the means were compared using the Tukey Test at 5%. Emissivity at 0.50 did not establish a significant (P>0.05) correlation between BST and RT, while a significant correlation (P<0.05) was obtained at 0.95 emissivity. Therefore, emissivity at 0.95 was used to assess the variables. The following equation was established: RT = 0.143 x BST + 33.534, which was found to be significant with a determination coefficient of 82%. The results of this study suggest that the utilization of infrared digital laser thermometer with emissivity of 0.95 directed at the middle region of the ribcage can be efficient to estimate the rectal temperature of dairy cows.
Keywords: Animal Well-Fare. Emissivity. Heat Stress. Thermoregulation.
Editora e Distribuidora Educacional
Title: The Detection of Rectal Temperature in Dairy Cattle by Using Infrared Digital Laser Thermometer
Description:
O estresse calórico em bovinos de leite pode comprometer diversas funções fisiológicas, incluindo produção de leite, reprodução e função imunológica.
Os objetivos deste estudo foram correlacionar a temperatura da superfície corporal (TSC) e a temperatura retal (TR) de vacas leiteiras usando um termômetro digital a laser infravermelho, bem como determinar a emissividade ideal.
Dez vacas leiteiras foram mantidas em área coberta por três dias consecutivos.
As medidas de TSC e TR foram realizadas às 8h, 13h e 16h, todos os dias.
As leituras térmicas foram feitas em quatro localizações anatômicas distintas: face, caixa torácica, garupa e glândula mamária nas emissividades de 0,95 e 0,50.
As temperaturas e localizações anatômicas das medidas térmicas foram avaliadas por ANOVA e as médias foram comparadas usando o Teste Tukey a 5%.
Emissividade em 0,50 não estabeleceu correlação significativa (P>0,05) entre TSC e TR, enquanto uma correlação significativa (P<0,05) foi obtida na emissividade 0,95.
Portanto, a emissividade de 0,95 foi utilizada para avaliar as variáveis.
Foi estabelecida a seguinte equação: RT = 0,143 x BST + 33,534, que se mostrou significativa com coeficiente de determinação de 82%.
Os resultados deste estudo sugerem que a utilização de termômetro digital a laser infravermelho com emissividade de 0,95 direcionada para a região média da caixa torácica pode ser eficiente para estimar a temperatura retal de vacas leiteiras.
Palavras-chave: Bem-Estar Animal.
Emissividade.
Estresse Calórico.
Termorregulação.
Abstract
Heat stress in dairy cattle can jeopardize several physiological functions, including milk production, reproduction and immune function.
The objectives of this study were to correlate body surface temperature (BST) and rectal temperature (RT) of dairy cows by using an infrared digital laser thermometer as well as to determine the ideal emissivity.
Ten dairy cows were maintained under a covered area for three consecutive days.
BST and RT measurements were taken at 8 am, 01 pm and 04 pm every day.
Thermal readings were carried out at four distinct anatomic locations: the face, ribcage, rump, and mammary gland at 0.
95 and 0.
50 emissivity.
The temperatures and anatomic locations of thermal measurements were evaluated by ANOVA and the means were compared using the Tukey Test at 5%.
Emissivity at 0.
50 did not establish a significant (P>0.
05) correlation between BST and RT, while a significant correlation (P<0.
05) was obtained at 0.
95 emissivity.
Therefore, emissivity at 0.
95 was used to assess the variables.
The following equation was established: RT = 0.
143 x BST + 33.
534, which was found to be significant with a determination coefficient of 82%.
The results of this study suggest that the utilization of infrared digital laser thermometer with emissivity of 0.
95 directed at the middle region of the ribcage can be efficient to estimate the rectal temperature of dairy cows.
Keywords: Animal Well-Fare.
Emissivity.
Heat Stress.
Thermoregulation.
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