Using unmanned aerial vehicles to record behavioral and physiological indicators of heat stress in cattle on feedlot and pasture

被引:6
作者
Mufford, J. T. [1 ]
Reudink, M. W. [1 ]
Rakobowchuk, M. [1 ]
Carlyle, C. N. [2 ]
Church, J. S. [1 ]
机构
[1] Thompson Rivers Univ, 805 TRU Way, Kamloops, BC V2C 0C8, Canada
[2] Univ Alberta, Edmonton, AB T6G 2P5, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
beef cattle; coat color; heat stress; respiration rate; unmanned aerial vehicles; AIRCRAFT SYSTEMS UASS; BODY-TEMPERATURE; CLIMATE-CHANGE; BEEF-CATTLE; PART; ENVIRONMENT; COWS;
D O I
10.1139/cjas-2020-0125
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Physiological and behavioral indicators of heat stress in cattle are time-and labor-intensive to measure, and difficult to observe in extensive feedlot and pasture settings. We proposed to record respiration rate and standing behavior using unmanned aerial vehicles. Videos were recorded above steers on feedlot in the morning (0830-1130) and afternoon (1400-1700) over 10 d between 25 July and 10 August and cows on pasture over 9 d between 19 and 29 August In the feedlot, video recordings on 925 individuals (264 black coated, 413 red, and 248 white) were obtained, varying in breed which included Black Angus, Hereford, Charolais, Canadian Speckle Park, and Simmental. On pasture, video recordings on 267 individuals (116 Black Angus and 151 Hereford) were obtained. Observer software was used to analyze videos. Respiration rate in feedlot cattle was the highest in black cattle, followed by red cattle, then white cattle. Coat color did not affect respiration rate in cows on pasture; temperatures on pasture were lower than in feedlots and the effect of coat color may not manifest until a certain heat load threshold. The probability that cattle would be standing increased with heat load index in feedlot and pasture settings.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 38 条
  • [1] Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning
    Andrew, William
    Greatwood, Colin
    Burghardt, Tilo
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), 2017, : 2850 - 2859
  • [2] Survey of cattle and pasture management practices on focal pastures in Alberta
    Bao, Tan
    Carlyle, Cameron N.
    Bork, Edward W.
    Becker, Marcus
    Alexander, Mike J.
    DeMaere, Craig
    de Souza, Danielle Maia
    Farr, Dan
    McAllister, Tim A.
    Selin, Carrie
    Weber, Marian
    Cahill, James F.
    [J]. CANADIAN JOURNAL OF ANIMAL SCIENCE, 2019, 99 (04) : 955 - 961
  • [3] Metabolic and hormonal acclimation to heat stress in domesticated ruminants
    Bernabucci, U.
    Lacetera, N.
    Baumgard, L. H.
    Rhoads, R. P.
    Ronchi, B.
    Nardone, A.
    [J]. ANIMAL, 2010, 4 (07) : 1167 - 1183
  • [4] Climate change: impact on livestock and how can we adapt
    Bernabucci, Umberto
    [J]. ANIMAL FRONTIERS, 2019, 9 (01) : 3 - 5
  • [5] Mapping rural community and dairy cow heat stress in Southern Ontario: A common geographic pattern from 2010 to 2012
    Bishop-Williams, Katherine E.
    Berke, Olaf
    Pearl, David L.
    Kelton, David F.
    [J]. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH, 2016, 71 (04) : 199 - 207
  • [6] Heat stress related dairy cow mortality during heat waves and control periods in rural Southern Ontario from 2010-2012
    Bishop-Williams, Katherine E.
    Berke, Olaf
    Pearl, David L.
    Hand, Karen
    Kelton, David F.
    [J]. BMC VETERINARY RESEARCH, 2015, 11
  • [7] Heat stress risk factors of feedlot heifers
    Brown-Brandl, T. M.
    Eigenberg, R. A.
    Nienaber, J. A.
    [J]. LIVESTOCK SCIENCE, 2006, 105 (1-3) : 57 - 68
  • [8] Brown-Brandl TM, 2013, LIVESTOCK HOUSING: MODERN MANAGEMENT TO ENSURE OPTIMAL HEALTH AND WELFARE OF FARM ANIMALS, P189, DOI 10.3920/978-90-8686-771-4_10
  • [9] Brown-Brandl TM, 2011, T ASABE, V54, P583
  • [10] Dynamic response indicators of heat stress in shaded and non-shaded feedlot cattle, Part 1: Analyses of indicators
    Brown-Brandl, TM
    Eigenberg, RA
    Nienaber, JA
    Hahn, GL
    [J]. BIOSYSTEMS ENGINEERING, 2005, 90 (04) : 451 - 462