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1 March 2012 A comparison of commonly used and novel electronic techniques for evaluating cattle temperament
K. S. Schwartzkopf-Genswein, M. A. Shah, J. S. Church, D. B. Haley, K. Janzen, G. Truong, R. P. Atkins, T. G. Crowe
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Abstract

Schwartzkopf-Genswein, K. S., Shah, M. A., Church, J. S., Haley, D. B., Janzen, K., Truong, G., Atkins, R. P. and Crowe, T. J. 2012. A comparison of commonly used and novel electronic techniques for evaluating cattle temperament. Can. J. Anim. Sci. 92: 21-31. The temperament of steers (n=28) was assessed using five quantitative techniques including: flight time, flight distance, electronic (strain-gauge and accelerometer) tests, and three visual scores (VS) made during entry, restraint and exit from a squeeze chute. The objective of this study was to determine the most important predictive parameters based on those measurements and evaluate the relationship between the techniques. Flight time and distance were correlated with exit VS (r=-0.51, and 0.41, P<0.05; n=56), but were not related to restraint VS. Data from strain-gauge and accelerometer sensors were used to generate parameters such as peak response and area under the curve that were correlated with all three VS. Regression models using VS as the dependent variable and a combination of 2 to 5 parameters from the strain-gauge and accelerometer tests as independent variables predicted temperament with values of 29 to 65 or 41 to 57%, respectively. When all techniques, excluding VS, were used as independent variables, model accuracy increased to 72, 81 and 77% for restraint, exit and the sum of all VS, respectively. These findings suggest the objective measures of temperament assessed in this study could be used to identify highly reactive animals.

K. S. Schwartzkopf-Genswein, M. A. Shah, J. S. Church, D. B. Haley, K. Janzen, G. Truong, R. P. Atkins, and T. G. Crowe "A comparison of commonly used and novel electronic techniques for evaluating cattle temperament," Canadian Journal of Animal Science 92(1), 21-31, (1 March 2012). https://doi.org/10.1139/CJAS2011-040
Received: 11 April 2011; Accepted: 1 November 2011; Published: 1 March 2012
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KEYWORDS
bovins
cattle
cote
model
modèle
prediction
prévision
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