Literature DB >> 21453147

Determination of lying behavior patterns in healthy beef cattle by use of wireless accelerometers.

Bradley D Robért1, Brad J White, David G Renter, Robert L Larson.   

Abstract

OBJECTIVE: To describe daily, hourly, and animal-to-animal effects on lying behavior in steers. ANIMALS: 25 crossbred beef steers. PROCEDURES: Wireless accelerometers were used to record behavioral data for cattle housed in a drylot cattle research facility during two 20-day periods (winter 2007 [n = 10 steers] and spring 2008 [15]). Behavioral data were categorized into lying, standing, and walking behaviors for each time point recorded. Logistic regression models were used to determine potential associations between the percentage of time spent lying and several factors, including time (hour) of day, day of trial, and steer.
RESULTS: Lying behavior was significantly associated with hour of day, and a distinct circadian rhythm was identified. Steers spent > 55% of the time between 8:00 pm and 4:00 am lying and were most active (<30% lying behavior) during feeding periods (6:00 am to 7:00 am and 4:00 pm to 5:00 pm). Model-adjusted mean percentage of time spent lying was significantly associated with study day and was between 45% and 55% on most (27/40 [67.5%]) days. Lying behavior varied significantly among steers, and mean ± SD percentage of time spent lying ranged from 28.9 ± 6.1 % to 66.1 ± 6.6%. CONCLUSIONS AND CLINICAL RELEVANCE: Cattle had distinct circadian rhythm patterns for lying behavior, and percentage of time spent lying varied by day and among steers. Researchers need to account for factors that affect lying patterns of cattle (ie, time of day, day of trial, and individual animal) when performing research with behavioral outcomes.

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Mesh:

Year:  2011        PMID: 21453147     DOI: 10.2460/ajvr.72.4.467

Source DB:  PubMed          Journal:  Am J Vet Res        ISSN: 0002-9645            Impact factor:   1.156


  7 in total

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

2.  Objective Measures for the Assessment of Post-Operative Pain in Bos indicus Bull Calves Following Castration.

Authors:  Gabrielle C Musk; Stine Jacobsen; Timothy H Hyndman; Heidi S Lehmann; S Jonathon Tuke; Teresa Collins; Karina B Gleerup; Craig B Johnson; Michael Laurence
Journal:  Animals (Basel)       Date:  2017-09-28       Impact factor: 2.752

3.  Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines.

Authors:  Dana L M Campbell; Jim M Lea; William J Farrer; Sally J Haynes; Caroline Lee
Journal:  Animals (Basel)       Date:  2017-09-18       Impact factor: 2.752

4.  Effects of conditioning, source, and rest on indicators of stress in beef cattle transported by road.

Authors:  Daniela M Meléndez; Sonia Marti; Derek B Haley; Timothy D Schwinghamer; Karen S Schwartzkopf-Genswein
Journal:  PLoS One       Date:  2021-01-12       Impact factor: 3.240

Review 5.  Technological Tools for the Early Detection of Bovine Respiratory Disease in Farms.

Authors:  Andrea Puig; Miguel Ruiz; Marta Bassols; Lorenzo Fraile; Ramon Armengol
Journal:  Animals (Basel)       Date:  2022-09-30       Impact factor: 3.231

6.  Influence of weaning strategy on behavior, humoral indicators of stress, growth, and carcass characteristics.

Authors:  Sharon Freeman; Matt Poore; Carrie Pickworth; Mark Alley
Journal:  Transl Anim Sci       Date:  2020-12-24

7.  Highly dynamic animal contact network and implications on disease transmission.

Authors:  Shi Chen; Brad J White; Michael W Sanderson; David E Amrine; Amiyaal Ilany; Cristina Lanzas
Journal:  Sci Rep       Date:  2014-03-26       Impact factor: 4.379

  7 in total

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