Literature DB >> 24368082

Infrared thermography of the udder surface of dairy cattle: characteristics, methods, and correlation with rectal temperature.

Moritz Metzner1, Carola Sauter-Louis2, Andrea Seemueller2, Wolfram Petzl2, Wolfgang Klee2.   

Abstract

Thermograms of the caudal udder surface were taken of five healthy cows before and after inoculation of Escherichia coli into the right hind quarter. Images in clinically normal udder quarters from cows without fever (CN) were compared with those post inoculation when cows had fever (⩾ 39.5°C) and showed elevation of somatic cell counts (⩾ 400,000 cells/mL) in the inoculated quarter (CM). Using graphic software tools, different geometric analysis tools (GATs: polygons, rectangles, lines) were set within the thermographic images. The following descriptive parameters (DPs) were employed: minimum value ('min'), maximum value ('max'), range ('max-min'), and arithmetic mean ('am'). Surface temperatures in group CN were between 34.1°C ('polygons'/'min') and 37.9°C ('polygons'/'max'), and in group CM between 34.5°C ('polygons'/'min') and 40.0°C ('polygons'/'max'). The greatest differences in the temperatures between CN and CM (2.06°C) were found in 'polygons' and 'rectangles' using 'max'. The smallest coefficient of variation in triplicate determinations was found in GAT 'polygons' with DP 'max' (Tmax) (0.15%), and the relationship to the rectal body temperature (Tr) could be described by Tr=5.68+0.874*Tmax. The results show that significant changes can be displayed best using the GAT 'polygons' and the DP 'max'. These methods should be considered for automated monitoring of udder health in dairy cows.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dairy cow; Mammary gland; Mastitis; Thermography

Mesh:

Year:  2013        PMID: 24368082     DOI: 10.1016/j.tvjl.2013.10.030

Source DB:  PubMed          Journal:  Vet J        ISSN: 1090-0233            Impact factor:   2.688


  13 in total

1.  Short communication: using infrared thermography as an in situ measure of core body temperature in lot-fed Angus steers.

Authors:  Angela M Lees; J C Lees; V Sejian; A L Wallage; J B Gaughan
Journal:  Int J Biometeorol       Date:  2017-09-11       Impact factor: 3.787

2.  Investigation of the relationship between udder quarter somatic cell count and udder skin surface temperature of dairy cows measured by infrared thermography.

Authors:  Daire T Byrne; Donagh P Berry; Harold Esmonde; Nóirín McHugh
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

Review 3.  Methods for Pain Assessment in Calves and Their Use for the Evaluation of Pain during Different Procedures-A Review.

Authors:  Theresa Tschoner
Journal:  Animals (Basel)       Date:  2021-04-25       Impact factor: 2.752

Review 4.  Infrared thermography: A potential noninvasive tool to monitor udder health status in dairy cows.

Authors:  M Sathiyabarathi; S Jeyakumar; A Manimaran; G Jayaprakash; Heartwin A Pushpadass; M Sivaram; K P Ramesha; D N Das; Mukund A Kataktalware; M Arul Prakash; R Dhinesh Kumar
Journal:  Vet World       Date:  2016-10-15

5.  Investigation of body and udder skin surface temperature differentials as an early indicator of mastitis in Holstein Friesian crossbred cows using digital infrared thermography technique.

Authors:  M Sathiyabarathi; S Jeyakumar; A Manimaran; Heartwin A Pushpadass; M Sivaram; K P Ramesha; D N Das; Mukund A Kataktalware; G Jayaprakash; Tapas Kumar Patbandha
Journal:  Vet World       Date:  2016-12-08

6.  First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Valerio Bronzo; Malcolm Mitchell; Vittorio Dell'Orto; Valentino Bontempo; Donata Cattaneo; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2018-03-14       Impact factor: 3.576

7.  Automated measurement of cattle surface temperature and its correlation with rectal temperature.

Authors:  HongXiang Kou; YiQiang Zhao; Kang Ren; XiaoLi Chen; YongQiang Lu; Dong Wang
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

8.  Modelling and Validation of Computer Vision Techniques to Assess Heart Rate, Eye Temperature, Ear-Base Temperature and Respiration Rate in Cattle.

Authors:  Maria Jorquera-Chavez; Sigfredo Fuentes; Frank R Dunshea; Robyn D Warner; Tomas Poblete; Ellen C Jongman
Journal:  Animals (Basel)       Date:  2019-12-06       Impact factor: 2.752

9.  Effects of heat stress on pullet cloacal and body temperature.

Authors:  M G L Cândido; I F F Tinôco; L F T Albino; L C S R Freitas; T C Santos; P R Cecon; R S Gates
Journal:  Poult Sci       Date:  2020-03-11       Impact factor: 3.352

Review 10.  Non-Invasive Physiological Indicators of Heat Stress in Cattle.

Authors:  Musadiq Idris; Jashim Uddin; Megan Sullivan; David M McNeill; Clive J C Phillips
Journal:  Animals (Basel)       Date:  2021-01-02       Impact factor: 2.752

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