Exercise-induced changes in skin temperature and blood parameters in horses
<p>The aim of the study was to assess the effects of training on haematological and biochemical blood parameters as well as on the changes in body surface temperature in horses. In order to identify the predictive value of surface temperature measurements as a marker of animal's performan...
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Copernicus Publications
2019-04-01
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Series: | Archives Animal Breeding |
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M. Soroko K. Śpitalniak-Bajerska D. Zaborski B. Poźniak K. Dudek I. Janczarek |
spellingShingle |
M. Soroko K. Śpitalniak-Bajerska D. Zaborski B. Poźniak K. Dudek I. Janczarek Exercise-induced changes in skin temperature and blood parameters in horses Archives Animal Breeding |
author_facet |
M. Soroko K. Śpitalniak-Bajerska D. Zaborski B. Poźniak K. Dudek I. Janczarek |
author_sort |
M. Soroko |
title |
Exercise-induced changes in skin temperature and blood parameters in horses |
title_short |
Exercise-induced changes in skin temperature and blood parameters in horses |
title_full |
Exercise-induced changes in skin temperature and blood parameters in horses |
title_fullStr |
Exercise-induced changes in skin temperature and blood parameters in horses |
title_full_unstemmed |
Exercise-induced changes in skin temperature and blood parameters in horses |
title_sort |
exercise-induced changes in skin temperature and blood parameters in horses |
publisher |
Copernicus Publications |
series |
Archives Animal Breeding |
issn |
0003-9438 2363-9822 |
publishDate |
2019-04-01 |
description |
<p>The aim of the study was to assess the effects of
training on haematological and biochemical blood parameters as well as on
the changes in body surface temperature in horses. In order to identify the
predictive value of surface temperature measurements as a marker of animal's
performance, their correlations with blood parameters were investigated. The
study was carried out on nine horses divided into two groups: routinely ridden
and never ridden. Infrared thermography was used to assess surface
temperature changes before (BT) and just after training (JAT) on a
treadmill. Seven regions of interest (ROIs) located on the neck, shoulder,
elbow, back, chest, gluteus and quarter were analysed. The blood samples
were taken BT, JAT and 30 min after training (30AT). Haematological
parameters including white blood cells, lymphocytes (LYMs), monocytes (MONOs),
granulocytes (GRAs), eosinophils (EOSs), haematocrit (HCT) and platelets (PLTs)
as well as biochemical parameters such as glucose (GLUC), urea,
<span class="inline-formula">Na<sup>+</sup></span>, <span class="inline-formula">K<sup>+</sup></span> and <span class="inline-formula">Ca<sup>2+</sup></span>, and creatine phosphokinase (CPK) were
analysed. Our results indicated a significant increase in surface
temperature JAT (<span class="inline-formula"><i>p</i>=0.043</span>) in the neck, shoulder, elbow, gluteus and
quarter in routinely ridden horses. Significant changes in EOS (<span class="inline-formula"><i>p</i>=0.046</span>)
and HCT (<span class="inline-formula"><i>p</i>=0.043</span>) in the case of the never-ridden and routinely ridden group,
respectively, were found between the times of blood collection. In addition,
there was a significant effect of the horse group and the time of blood
collection on the CPK activity (<span class="inline-formula"><i>p</i>=0.025</span> to <span class="inline-formula"><i>p</i>=0.045</span>) and urea
concentrations (<span class="inline-formula"><i>p</i>=0.027</span> to <span class="inline-formula"><i>p</i>=0.045</span>). In the routinely ridden horses,
there were significant correlations between the changes in MONO
(<span class="inline-formula"><i>ρ</i>=0.40</span>), GRA (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.40</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="5979da5bf58744537ddb7f40bba6f626"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00001.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00001.png"/></svg:svg></span></span>), PLT (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M13" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.77</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="c2837ee732663bfdaedfefb058258b4d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00002.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00002.png"/></svg:svg></span></span>), HCT (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.36</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="274bf6dbc215a60d5425efb007367db6"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00003.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00003.png"/></svg:svg></span></span>), GLUC
(<span class="inline-formula"><i>ρ</i>=0.56</span>) and urea (<span class="inline-formula"><i>ρ</i>=0.56</span>) and the total ROI temperature changes.
Moreover, significant correlations between the changes in MONO
(<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M17" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.86</mn><mo>)</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="54pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="343748907710a9ac9de34c85111cec5a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00004.svg" width="54pt" height="12pt" src="aab-62-205-2019-ie00004.png"/></svg:svg></span></span>, EOS (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M18" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.65</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="2a840b7434126680271dc3fec781fb72"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00005.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00005.png"/></svg:svg></span></span>), GLUC (<span class="inline-formula"><i>ρ</i>=0.85</span>), urea (<span class="inline-formula"><i>ρ</i>=0.85</span>),
<span class="inline-formula">Na<sup>+</sup></span> (<span class="inline-formula"><i>ρ</i>=0.59</span>) and <span class="inline-formula">K<sup>+</sup></span> (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M24" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.85</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="ba509f6177566a93ae56ab36f40d4d27"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00006.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00006.png"/></svg:svg></span></span>) and the total ROI
temperature changes were found in never-ridden horses. Different changes in
body surface temperature and blood parameters in routinely ridden and
never-ridden horses could be associated with different conditioning and
performance. A significantly higher surface temperature in routinely ridden
horses, as well as the dynamics of changes in HCT, CPK and urea after
training indicate better performance of these horses. Significant
correlations between MONO, GLUC, and urea and a total ROI surface temperature
as well as a negative correlation between MONO and the total ROI temperature
in never-ridden horses indicated poor performance.</p> |
url |
https://www.arch-anim-breed.net/62/205/2019/aab-62-205-2019.pdf |
work_keys_str_mv |
AT msoroko exerciseinducedchangesinskintemperatureandbloodparametersinhorses AT kspitalniakbajerska exerciseinducedchangesinskintemperatureandbloodparametersinhorses AT dzaborski exerciseinducedchangesinskintemperatureandbloodparametersinhorses AT bpozniak exerciseinducedchangesinskintemperatureandbloodparametersinhorses AT kdudek exerciseinducedchangesinskintemperatureandbloodparametersinhorses AT ijanczarek exerciseinducedchangesinskintemperatureandbloodparametersinhorses |
_version_ |
1724865075055951872 |
spelling |
doaj-498853c5a7f544248e47930ae50e2ed22020-11-25T02:21:51ZengCopernicus PublicationsArchives Animal Breeding0003-94382363-98222019-04-016220521310.5194/aab-62-205-2019Exercise-induced changes in skin temperature and blood parameters in horsesM. Soroko0K. Śpitalniak-Bajerska1D. Zaborski2B. Poźniak3K. Dudek4I. Janczarek5Department of Horse Breeding and Equestrian Studies, Wroclaw University of Environmental and Life Sciences, Wrocław, 50-375, PolandDepartment of Environmental Hygiene and Animal Welfare, Wroclaw University of Environmental and Life Sciences, Wrocław, 50-375, PolandDepartment of Ruminants Science, West Pomeranian University of Technology, Szczecin, 71-270, PolandDepartment of Pharmacology and Toxicology, Wroclaw University of Environmental and Life Sciences, Wrocław, 50-375, PolandFaculty of Mechanical Engineering, Wroclaw University of Technology, Wrocław, 50-370, PolandDepartment of Horse Breeding and Use, University of Life Sciences in Lublin, Lublin, 20-950, Poland<p>The aim of the study was to assess the effects of training on haematological and biochemical blood parameters as well as on the changes in body surface temperature in horses. In order to identify the predictive value of surface temperature measurements as a marker of animal's performance, their correlations with blood parameters were investigated. The study was carried out on nine horses divided into two groups: routinely ridden and never ridden. Infrared thermography was used to assess surface temperature changes before (BT) and just after training (JAT) on a treadmill. Seven regions of interest (ROIs) located on the neck, shoulder, elbow, back, chest, gluteus and quarter were analysed. The blood samples were taken BT, JAT and 30 min after training (30AT). Haematological parameters including white blood cells, lymphocytes (LYMs), monocytes (MONOs), granulocytes (GRAs), eosinophils (EOSs), haematocrit (HCT) and platelets (PLTs) as well as biochemical parameters such as glucose (GLUC), urea, <span class="inline-formula">Na<sup>+</sup></span>, <span class="inline-formula">K<sup>+</sup></span> and <span class="inline-formula">Ca<sup>2+</sup></span>, and creatine phosphokinase (CPK) were analysed. Our results indicated a significant increase in surface temperature JAT (<span class="inline-formula"><i>p</i>=0.043</span>) in the neck, shoulder, elbow, gluteus and quarter in routinely ridden horses. Significant changes in EOS (<span class="inline-formula"><i>p</i>=0.046</span>) and HCT (<span class="inline-formula"><i>p</i>=0.043</span>) in the case of the never-ridden and routinely ridden group, respectively, were found between the times of blood collection. In addition, there was a significant effect of the horse group and the time of blood collection on the CPK activity (<span class="inline-formula"><i>p</i>=0.025</span> to <span class="inline-formula"><i>p</i>=0.045</span>) and urea concentrations (<span class="inline-formula"><i>p</i>=0.027</span> to <span class="inline-formula"><i>p</i>=0.045</span>). In the routinely ridden horses, there were significant correlations between the changes in MONO (<span class="inline-formula"><i>ρ</i>=0.40</span>), GRA (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.40</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="5979da5bf58744537ddb7f40bba6f626"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00001.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00001.png"/></svg:svg></span></span>), PLT (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M13" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.77</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="c2837ee732663bfdaedfefb058258b4d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00002.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00002.png"/></svg:svg></span></span>), HCT (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.36</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="274bf6dbc215a60d5425efb007367db6"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00003.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00003.png"/></svg:svg></span></span>), GLUC (<span class="inline-formula"><i>ρ</i>=0.56</span>) and urea (<span class="inline-formula"><i>ρ</i>=0.56</span>) and the total ROI temperature changes. Moreover, significant correlations between the changes in MONO (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M17" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.86</mn><mo>)</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="54pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="343748907710a9ac9de34c85111cec5a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00004.svg" width="54pt" height="12pt" src="aab-62-205-2019-ie00004.png"/></svg:svg></span></span>, EOS (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M18" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.65</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="2a840b7434126680271dc3fec781fb72"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00005.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00005.png"/></svg:svg></span></span>), GLUC (<span class="inline-formula"><i>ρ</i>=0.85</span>), urea (<span class="inline-formula"><i>ρ</i>=0.85</span>), <span class="inline-formula">Na<sup>+</sup></span> (<span class="inline-formula"><i>ρ</i>=0.59</span>) and <span class="inline-formula">K<sup>+</sup></span> (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M24" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="italic">ρ</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.85</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="ba509f6177566a93ae56ab36f40d4d27"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-62-205-2019-ie00006.svg" width="51pt" height="12pt" src="aab-62-205-2019-ie00006.png"/></svg:svg></span></span>) and the total ROI temperature changes were found in never-ridden horses. Different changes in body surface temperature and blood parameters in routinely ridden and never-ridden horses could be associated with different conditioning and performance. A significantly higher surface temperature in routinely ridden horses, as well as the dynamics of changes in HCT, CPK and urea after training indicate better performance of these horses. Significant correlations between MONO, GLUC, and urea and a total ROI surface temperature as well as a negative correlation between MONO and the total ROI temperature in never-ridden horses indicated poor performance.</p>https://www.arch-anim-breed.net/62/205/2019/aab-62-205-2019.pdf |