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Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows

Animal behavior and management factors that influence behavior affect physiology and lactation performance. Circadian rhythms of core body temperature are a primary output of the master clock; however, core body temperature in early-lactation dairy cows showed poor fit to 24-h rhythms. We hypothesiz...

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Autores principales: Montes, Maria Elisa, Brunton, Mercedes, Mann, Adrianna, Teeple, Kelsey, George, Uduak, Boerman, Jacquelyn, Casey, Theresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382830/
https://www.ncbi.nlm.nih.gov/pubmed/37521064
http://dx.doi.org/10.3168/jdsc.2022-0327
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author Montes, Maria Elisa
Brunton, Mercedes
Mann, Adrianna
Teeple, Kelsey
George, Uduak
Boerman, Jacquelyn
Casey, Theresa
author_facet Montes, Maria Elisa
Brunton, Mercedes
Mann, Adrianna
Teeple, Kelsey
George, Uduak
Boerman, Jacquelyn
Casey, Theresa
author_sort Montes, Maria Elisa
collection PubMed
description Animal behavior and management factors that influence behavior affect physiology and lactation performance. Circadian rhythms of core body temperature are a primary output of the master clock; however, core body temperature in early-lactation dairy cows showed poor fit to 24-h rhythms. We hypothesized that eating behavior was related to daily body temperature oscillations. The objectives of this study were to determine if oscillations in daily behaviors, specifically feeding behavior, were related to body temperature. The behavior of 11 Holstein cows (34 ± 14 d in milk; mean ± standard deviation) housed in a freestall barn was recorded every 10 min for a 48-h period. Simultaneously, data loggers (iButtons; iButtonLink Technology) recorded the body temperature of cows with the same sampling frequency. The mean temperature of all cows showed a better fit to a 2-component cosinor (R(2) = 0.54) than to a single cosinor model (R(2) = 0.26). Logistic regression showed that the probability (Pr) of a cow experiencing an increase in body temperature (increment, I) given that she was milking [Pr(I|milking) = 0.94] was higher than for ruminating [Pr(I|ruminating) = 0.69], lying [Pr(I|lying) = 0.66], feeding [Pr(I|feeding) = 0.16], standing [Pr(I|standing) = 0.54], and mounting [Pr(I|mounting) = 0.62]. The main limitations of this study are the length of the observation period and the sample size. Longer observation windows on core body temperature would allow to isolate the noise and the signal and identify patterns with more clarity. Oscillations in body temperature were not associated with feeding. However, findings indicate that milking, activity associated with walking to the parlor, or the temperature in the parlor may affect secondary rhythms of daily body temperature.
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spelling pubmed-103828302023-07-30 Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows Montes, Maria Elisa Brunton, Mercedes Mann, Adrianna Teeple, Kelsey George, Uduak Boerman, Jacquelyn Casey, Theresa JDS Commun Physiology Animal behavior and management factors that influence behavior affect physiology and lactation performance. Circadian rhythms of core body temperature are a primary output of the master clock; however, core body temperature in early-lactation dairy cows showed poor fit to 24-h rhythms. We hypothesized that eating behavior was related to daily body temperature oscillations. The objectives of this study were to determine if oscillations in daily behaviors, specifically feeding behavior, were related to body temperature. The behavior of 11 Holstein cows (34 ± 14 d in milk; mean ± standard deviation) housed in a freestall barn was recorded every 10 min for a 48-h period. Simultaneously, data loggers (iButtons; iButtonLink Technology) recorded the body temperature of cows with the same sampling frequency. The mean temperature of all cows showed a better fit to a 2-component cosinor (R(2) = 0.54) than to a single cosinor model (R(2) = 0.26). Logistic regression showed that the probability (Pr) of a cow experiencing an increase in body temperature (increment, I) given that she was milking [Pr(I|milking) = 0.94] was higher than for ruminating [Pr(I|ruminating) = 0.69], lying [Pr(I|lying) = 0.66], feeding [Pr(I|feeding) = 0.16], standing [Pr(I|standing) = 0.54], and mounting [Pr(I|mounting) = 0.62]. The main limitations of this study are the length of the observation period and the sample size. Longer observation windows on core body temperature would allow to isolate the noise and the signal and identify patterns with more clarity. Oscillations in body temperature were not associated with feeding. However, findings indicate that milking, activity associated with walking to the parlor, or the temperature in the parlor may affect secondary rhythms of daily body temperature. Elsevier 2023-03-02 /pmc/articles/PMC10382830/ /pubmed/37521064 http://dx.doi.org/10.3168/jdsc.2022-0327 Text en © 2023. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Physiology
Montes, Maria Elisa
Brunton, Mercedes
Mann, Adrianna
Teeple, Kelsey
George, Uduak
Boerman, Jacquelyn
Casey, Theresa
Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows
title Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows
title_full Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows
title_fullStr Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows
title_full_unstemmed Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows
title_short Relationship between body temperature and behavior of nonpregnant early-lactation dairy cows
title_sort relationship between body temperature and behavior of nonpregnant early-lactation dairy cows
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382830/
https://www.ncbi.nlm.nih.gov/pubmed/37521064
http://dx.doi.org/10.3168/jdsc.2022-0327
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