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Evaluating rumen temperature as an estimate of core body temperature in Angus feedlot cattle during summer

  • Angela M. LeesEmail author
  • V. Sejian
  • J. C. Lees
  • M. L. Sullivan
  • A. T. Lisle
  • J. B. Gaughan
Original Paper
  • 19 Downloads

Abstract

This study was conducted to determine the relationship between rectal temperature (TREC) and rumen temperature (TRUM) and to assess if TRUM could be used as a proxy measure of core body temperature (TCORE) in feedlot cattle. Eighty Angus steers (388.8 ± 2.1 kg) were orally administered with rumen temperature boluses. Rumen temperatures were recorded at 10-min intervals over 128 days from all 80 steers. To define the suitability of TRUM as an estimation of TCORE, TREC were obtained from all steers at 7-day intervals (n = 16). Eight feedlot pens were used where there were 10 steers per pen (162 m2). Shade was available in each pen (1.8 m2/animal; 90% solar block). Climatic data were recorded at 30-min intervals, including ambient temperature (TA; °C); relative humidity (RH; %); wind speed (WS; m/s) and direction; solar radiation (SR; W/m2); and black globe temperature (BGT; °C). Rainfall (mm) was recorded daily at 0900 h. From these data, temperature humidity index (THI), heat load index (HLI) and accumulated heat load (AHL) were calculated. Individual 10-min TRUM data were converted to an individual hourly average. Pooled mean hourly TRUM data from the 128-day data were used to establish the diurnal rhythm of TRUM where the mean minimum (39.19 ± 0.01 °C) and mean maximum (40.04 ± 0.01 °C) were observed at 0800 h and 2000 h respectively. A partial correlation coefficient indicated that there were moderate to strong relationships between TRUM and TREC using both real-time (r = 0.55; P < 0.001) and hourly mean (r = 0.51; P < 0.001) TRUM data. The mean difference between TREC and TRUM was small using both real-time (0.16 ± 0.02 °C) and hourly mean TRUM (0.13 ± 0.02 °C) data. Data from this study supports the hypothesis that TRUM can be used as an estimate of TCORE, suggesting that TRUM can be used to measure and quantify heat load in feedlot cattle.

Keywords

Cattle Core body temperature Heat load index Thermal stress Rectal temperature Rumen temperature 

Notes

Funding information

This study was funded by Meat and Livestock Australia P/L., North Sydney, NSW, Australia.

Compliance with ethical standards

This study was conducted with the approval of The University of Queensland (UQ) animal ethics committee (SAFS/210/13/MLA).

References

  1. AlZahal O, AlZahal H, Steele MA, Van Schaik M, Kyriazakis I, Duffield TF, McBride BW (2011) The use of a radiotelemetric ruminal bolus to detect body temperature changes in lactating dairy cattle. J Dairy Sci 94(7):3568–3574.  https://doi.org/10.3168/jds.2010-3944 CrossRefGoogle Scholar
  2. Ammer S, Lambertz C, Gauly M (2016) Comparison of different measuring methods for body temperature in lactating cows under different climatic conditions. J Dairy Res 83(2):165–172.  https://doi.org/10.1017/S0022029916000182 CrossRefGoogle Scholar
  3. Beatty DT, Barnes A, Taylor E, Maloney SK (2008) Do changes in feed intake or ambient temperature cause changes in cattle rumen temperature relative to core temperature? J Therm Biol 33(1):12–19.  https://doi.org/10.1016/j.jtherbio.2007.09.002 CrossRefGoogle Scholar
  4. Beede DK, Collier RJ (1986) Potential nutritional strategies for intensively managed cattle during thermal stress. J Anim Sci 62(2):543–554.  https://doi.org/10.2527/jas1986.622543x CrossRefGoogle Scholar
  5. Bewley JM, Grott MW, Einstein ME, Schutz MM (2008) Impact of intake water temperatures on reticular temperatures of lactating dairy cows. J Dairy Sci 91(10):3880–3887.  https://doi.org/10.3168/jds.2008-1159 CrossRefGoogle Scholar
  6. Bitman J, Lefcourt A, Wood DL, Stroud B (1984) Circadian and ultradian temperature rhythms of lactating dairy cows. J Dairy Sci 67(5):1014–1023.  https://doi.org/10.3168/jds.S0022-0302(84)81400-9
  7. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327:307–310.  https://doi.org/10.1016/S0140-6736(86)90837-8 CrossRefGoogle Scholar
  8. Bland JM, Altman DG (1995) Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet 346(8982):1085–1087.  https://doi.org/10.1016/S0140-6736(95)91748-9 CrossRefGoogle Scholar
  9. Bland JM, Altman DG (1999) Measuring agreement in method comparison studies. Stat Methods Med Res 8(2):135–160.  https://doi.org/10.1177/096228029900800204 CrossRefGoogle Scholar
  10. Bland JM, Altman DG (2003) Applying the right statistics: analyses of measurement studies. Ultrasound Obstet Gynecol 22(1):85–93.  https://doi.org/10.1002/uog.122 CrossRefGoogle Scholar
  11. Brown-Brandl TM, Eigenberg RA, Nienaber JA, Hahn GL (2005) Dynamic response indicators of heat stress in shaded and non-shaded feedlot cattle, part 1: analyses of indicators. Biosyst Eng 90(4):451–462.  https://doi.org/10.1016/j.biosystemseng.2004.12.006 CrossRefGoogle Scholar
  12. Brown-Brandl TM, Eigenberg RA, Nienaber JA (2006a) Heat stress risk factors of feedlot heifers. Livest Sci 105(1–3):57–68.  https://doi.org/10.1016/j.livsci.2006.04.025 CrossRefGoogle Scholar
  13. Brown-Brandl TM, Nienaber JA, Eigenberg RA, Mader TL, Morrow JL, Dailey JW (2006b) Comparison of heat tolerance of feedlot heifers of different breeds. Livest Sci 105(1–3):19–26.  https://doi.org/10.1016/j.livsci.2006.04.012 CrossRefGoogle Scholar
  14. Brown-Brandl TM, Eigenberg RA, Nienaber JA (2010) Water spray cooling during handling of feedlot cattle. Int J Biometeorol 54(6):609–616.  https://doi.org/10.1007/s00484-009-0282-8 CrossRefGoogle Scholar
  15. Burdick NC, Carroll JA, Dailey JW, Randel RD, Falkenberg SM, Schmidt TB (2012) Development of a self-contained, indwelling vaginal temperature probe for use in cattle research. J Therm Biol 37(4):339–343.  https://doi.org/10.1016/j.jtherbio.2011.10.007 CrossRefGoogle Scholar
  16. Burfeind O, Suthar VS, Voigtsberger R, Bonk S, Heuwieser W (2014) Body temperature in early postpartum dairy cows. Theriogenology 82(1):121–131.  https://doi.org/10.1016/j.theriogenology.2014.03.006 CrossRefGoogle Scholar
  17. Bushby D, Loy D (1997) Heat stress in feedlot cattle: producer survey results beef research report, 1996. Paper 26.:http://lib.dr.iastate.edu/beefreports_1996/1926
  18. Cantor M, Costa J, Bewley J (2018) Impact of observed and controlled water intake on reticulorumen temperature in lactating dairy cattle. Animals 8(11):194.  https://doi.org/10.3390/ani8110194 CrossRefGoogle Scholar
  19. Curtis AK, Scharf B, Eichen PA, Spiers DE (2017) Relationships between ambient conditions, thermal status, and feed intake of cattle during summer heat stress with access to shade. J Therm Biol 63:104–111.  https://doi.org/10.1016/j.jtherbio.2016.11.015 CrossRefGoogle Scholar
  20. Dale HE, Stewart RE, Brody S (1954) Rumen temperature 1. Temperature gradients during feeding and fasting. Cornell Veterinarian 44:368–374Google Scholar
  21. Davis MS, Mader TL, Holt SM, Parkhurst AM (2003) Strategies to reduce feedlot cattle heat stress: effects on tympanic temperature. J Anim Sci 81(3):649–661.  https://doi.org/10.2527/2003.813649x CrossRefGoogle Scholar
  22. Entwistle K, Rose M, McKiernan B (2000) Mortalities in feedlot cattle at prime city feedlot, Tabbita, NSW, February. NSW Agriculture Sydney, NSW, Australia, p 2000Google Scholar
  23. Gaughan JB (2002) Respiration rate and rectal temperature responses of feedlot cattle in dynamic, thermally challenging environments the University of Queensland Gatton. QLD, AustraliaGoogle Scholar
  24. Gaughan JB, Mader TL, Holt SM (2008a) Cooling and feeding strategies to reduce heat load of grain-fed beef cattle in intensive housing. Livest Sci 113(2–3):226–233.  https://doi.org/10.1016/j.livsci.2007.03.014 CrossRefGoogle Scholar
  25. Gaughan JB, Mader TL, Holt SM, Lisle A (2008b) A new heat load index for feedlot cattle. J Anim Sci 86(1):226–234.  https://doi.org/10.2527/jas.2007-0305 CrossRefGoogle Scholar
  26. Gaughan JB, Bonner S, Loxton I, Mader TL, Lisle A, Lawrence R (2010) Effect of shade on body temperature and performance of feedlot steers. J Anim Sci 88(12):4056–4067.  https://doi.org/10.2527/jas.2010-2987 CrossRefGoogle Scholar
  27. Gaughan JB, Bonner SL, Loxton I, Mader TL (2013) Effects of chronic heat stress on plasma concentration of secreted heat shock protein 70 in growing feedlot cattle. J Anim Sci 91(1):120–129.  https://doi.org/10.2527/jas.2012-5294 CrossRefGoogle Scholar
  28. Hahn GL (1999) Dynamic responses of cattle to thermal heat loads. J Anim Sci 77 (Suppl. 2:10–20.  https://doi.org/10.2527/1997.77suppl_210x CrossRefGoogle Scholar
  29. Hahn GL, Eigenberg RA, Nienaber JA, Littledike ET (1990) Measuring physiological responses of animals to environmental stressors using a microcomputer-based portable datalogger. J Anim Sci 68(9):2658–2665.  https://doi.org/10.2527/1990.6892658x CrossRefGoogle Scholar
  30. Hicks LC, Hicks WS, Bucklin R, Shearer JK, Bray DR, Soto P, Carvalho V (2001) Comparison of methods of measuring deep body temperatures of dairy cows. In: Stowell RR, Bucklin R, Bottcher RW (eds) Livestock environment VI: proceedings of the 6th international symposium. American Society of Agricultural and Biological Engineers, Louisville, pp 432–438Google Scholar
  31. Hillman PE, Gebremedhin KG, Willard ST, Lee CN, Kennedy AD (2009) Continuous measurements of vaginal temperature of female cattle using a data logger encased in a plastic anchor. Appl Eng Agric 25(2):291–296.  https://doi.org/10.13031/2013.26332 CrossRefGoogle Scholar
  32. Johnson SR, Rao S, Hussey SB, Morley PS, Traub-Dargatz JL (2011) Thermographic eye temperature as an index to body temperature in ponies. J Equine Vet Sci 31(2):63–66CrossRefGoogle Scholar
  33. Kaufman JD, Saxton AM, Ríus AG (2018) Short communication: relationships among temperature-humidity index with rectal, udder surface, and vaginal temperatures in lactating dairy cows experiencing heat stress. J Dairy Sci 101(7):6424–6429.  https://doi.org/10.3168/jds.2017-13799 CrossRefGoogle Scholar
  34. Lawrence RJ (1998) A comparison of feedlot bunk management strategies and their influence on cattle performance and health. Proc Aust Soc Anim Prod 22:177–180Google Scholar
  35. Lees A, Lea J, Salvin H, Cafe L, Colditz I, Lee C (2018a) Relationship between rectal temperature and vaginal temperature in grazing Bos taurus heifers. Animals 8(9):156.  https://doi.org/10.3390/ani8090156 CrossRefGoogle Scholar
  36. Lees AM, Lees JC, Lisle AT, Sullivan ML, Gaughan JB (2018b) Effect of heat stress on rumen temperature of three breeds of cattle. Int J Biometeorol 62(2):207–215.  https://doi.org/10.1007/s00484-017-1442-x CrossRefGoogle Scholar
  37. Lees AM, Lees JC, Sejian V, Wallage AL, Gaughan JB (2018c) Short communication: using infrared thermography as an in situ measure of core body temperature in lot-fed Angus steers. Int J Biometeorol 62(1):3–8.  https://doi.org/10.1007/s00484-017-1433-y CrossRefGoogle Scholar
  38. Lefcourt AM, Adams WR (1996) Radiotelemetry measurement of body temperatures of feedlot steers during summer. J Anim Sci 74(11):2633–2640.  https://doi.org/10.2527/1996.74112633x CrossRefGoogle Scholar
  39. Mader TL, Davis MS, Kreikemeier WM (2005) Case study: tympanic temperature and behavior associated with moving feedlot cattle. Prof Anim Sci 21(4):339–344.  https://doi.org/10.15232/S1080-7446(15)31225-0 CrossRefGoogle Scholar
  40. Mitlöhner FM, Galyean ML, McGlone JJ (2002) Shade effects on performance, carcass traits, physiology, and behavior of heat-stressed feedlot heifers. J Anim Sci 80(8):2043–2050.  https://doi.org/10.1093/ansci/80.8.2043 Google Scholar
  41. Nienaber JA, Hahn GL, Eigenberg RA (1999) Quantifying livestock responses for heat stress management: a review. Int J Biometeorol 42(4):183–188.  https://doi.org/10.1007/s004840050103 CrossRefGoogle Scholar
  42. Robertshaw D (1985) Heat loss of cattle. In: Yousef MK (ed) Stress physiology in livestock, vol I. CRC Press Inc, Baco Raton, pp 55–66Google Scholar
  43. Rose-Dye TK, Burciaga-Robles LO, Krehbiel CR, Step DL, Fulton RW, Confer AW, Richards CJ (2011) Rumen temperature change monitored with remote rumen temperature boluses after challenges with bovine viral diarrhea virus and Mannheimia haemolytica. J Anim Sci 89(4):1193–1200.  https://doi.org/10.2527/jas.2010-3051 CrossRefGoogle Scholar
  44. Schütz KE, Rogers AR, Poulouin YA, Cox NR, Tucker CB (2010) The amount of shade influences the behavior and physiology of dairy cattle. J Dairy Sci 93(1):125–133.  https://doi.org/10.3168/jds.2009-2416 CrossRefGoogle Scholar
  45. St-Pierre NR, Cobanov B, Schnitkey G (2003) Economic losses from heat stress by US livestock industries. J Dairy Sci 86(Supplement 1):E52–E77.  https://doi.org/10.3168/jds.S0022-0302(03)74040-5
  46. Suthar V, Burfeind O, Maeder B, Heuwieser W (2013) Agreement between rectal and vaginal temperature measured with temperature loggers in dairy cows. J Dairy Res 80(2):240–245.  https://doi.org/10.1017/S0022029913000071 CrossRefGoogle Scholar
  47. Thom EC (1959) The discomfort index. Weatherwise 12:57–61.  https://doi.org/10.1080/00431672.1959.9926960 CrossRefGoogle Scholar
  48. Timsit E, Assié S, Quiniou R, Seegers H, Bareille N (2011) Early detection of bovine respiratory disease in young bulls using reticulo-rumen temperature boluses. Vet J 190(1):136–142.  https://doi.org/10.1016/j.tvjl.2010.09.012 CrossRefGoogle Scholar
  49. Tucker CB, Rogers AR, Schütz KE (2008) Effect of solar radiation on dairy cattle behaviour, use of shade and body temperature in a pasture-based system. Appl Anim Behav Sci 109(2–4):141–154.  https://doi.org/10.1016/j.applanim.2007.03.015 CrossRefGoogle Scholar
  50. Vickers LA, Burfeind O, von Keyserlingk MAG, Veira DM, Weary DM, Heuwieser W (2010) Technical note: comparison of rectal and vaginal temperatures in lactating dairy cows. J Dairy Sci 93(11):5246–5251.  https://doi.org/10.3168/jds.2010-3388 CrossRefGoogle Scholar
  51. Yokoyama MT, Johnson KA (1993) Microbiology of the rumen and intestine. In: Church DC (ed) The ruminant animal: digestive physiology and nutrition. Waveland Press Inc., Prospect Heights, pp 125–144Google Scholar

Copyright information

© ISB 2019

Authors and Affiliations

  1. 1.School of Agriculture and Food Sciences, Animal Science GroupThe University of QueenslandGattonAustralia
  2. 2.FD McMaster LaboratoryCSIRO Agriculture and FoodArmidaleAustralia
  3. 3.ICAR-National Institute of Animal Nutrition and PhysiologyBangaloreIndia
  4. 4.School of Environmental and Rural ScienceUniversity of New EnglandArmidaleAustralia

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