干旱区生态环境知识资源中心(Arid): Prediction of rectal temperature in Holstein heifers using infrared thermography, respiration frequency, and climatic variables

Arid

DOI	10.1007/s00484-022-02377-0
	Prediction of rectal temperature in Holstein heifers using infrared thermography, respiration frequency, and climatic variables
	Theusme, Chilove; Avendano-Reyes, Leonel; Macias-Cruz, Ulises; Castaneda-Bustos, Vielka; Garcia-Cueto, Rafael; Vicente-Perez, Ricardo; Mellado, Miguel; Meza-Herrera, Cesar; Vargas-Villamil, Luis
通讯作者	Avendaño-Reyes, L
来源期刊	INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
ISSN	0020-7128
EISSN	1432-1254
出版年	2022
卷号	66 期号:12 页码:2489-2500
英文摘要	The objective of this study was to develop an equation to predict rectal temperature (RT) using body surface temperatures (BSTs), physiological and climatic variables in pubertal Holstein heifers in an arid region. Two hundred Holstein heifers were used from July to September during two consecutive summers (2019 and 2020). Respiratory frequency (RF) was used as a physiological variable and ambient temperature, relative humidity and temperature-humidity index as climatic variables. For the body surface temperatures, infrared thermography was used considering the following anatomical regions: shoulder, belly, rump, leg, neck, head, forehead, nose, loin, leg, vulva, eye, flank, and lateral area (right side). Initially, a Pearson correlation analysis examined the relationship among variables, and then multiple linear regression analysis was used to develop the prediction equation. Physiological parameters RT and RF were highly correlated with each other (r = 0.73; P<0.0001), while all BST presented from low to moderate correlations with RT and RF. BST forehead temperature (FH) showed the highest (r = 0.58) correlation with RT. The equation RT = 35.55 + 0.033 (RF) + 0.030 (FH) + e(i) is considered the best regression equation model to predict RT in Holstein heifers in arid zones. This decision was made on the indicators R-2 = 60%, RMSE = 0.25, and AIC = 0.25, which were considered adequate variability indicators.
英文关键词	Holstein cattle Infrared images Regression models Body temperature Arid environment
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000874032300002
WOS关键词	BODY-SURFACE TEMPERATURE ; HEAT-STRESS ; DAIRY-COWS ; OCULAR THERMOGRAPHY ; EYE TEMPERATURE ; RESPONSES ; CATTLE ; UDDER ; EWES ; TOOL
WOS类目	Biophysics ; Environmental Sciences ; Meteorology & Atmospheric Sciences ; Physiology
WOS研究方向	Biophysics ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences ; Physiology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393127
推荐引用方式 GB/T 7714	Theusme, Chilove,Avendano-Reyes, Leonel,Macias-Cruz, Ulises,et al. Prediction of rectal temperature in Holstein heifers using infrared thermography, respiration frequency, and climatic variables[J],2022,66(12):2489-2500.
APA	Theusme, Chilove.,Avendano-Reyes, Leonel.,Macias-Cruz, Ulises.,Castaneda-Bustos, Vielka.,Garcia-Cueto, Rafael.,...&Vargas-Villamil, Luis.(2022).Prediction of rectal temperature in Holstein heifers using infrared thermography, respiration frequency, and climatic variables.INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,66(12),2489-2500.
MLA	Theusme, Chilove,et al."Prediction of rectal temperature in Holstein heifers using infrared thermography, respiration frequency, and climatic variables".INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 66.12(2022):2489-2500.