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Krueger, K., Marr, I., & Farmer, K. (2017). Equine Cognition. In J. Vonk, & T. Shackelford (Eds.), Encyclopedia of Animal Cognition and Behavior (pp. 1–11). Cham: Springer International Publishing.
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Sackman, J. E., & Houpt, K. A. (2018). Equine Personality: Association with Breed, Use and Husbandry Factors. Journal of Equine Veterinary Science, .
Abstract: Abstract
Temperament can be defined as innate properties of the nervous system whereas personality includes the complex behavioral traits acquired through life. Association between personality and behavior is important for breeding, selection, and training of horses. For the first time, we evaluated if equine personality components previously identified in Japan and Europe were consistent when applied to American horses. We examined the association of personality with breed, age, sex, management, training, stereotypies and misbehaviors.
Materials and Methods
The owner directed personality survey consisted of 25 questions. An online version of the survey was created. The principal component analysis (PCA) method was used to associate behavioral traits with personality components. Factor analysis with orthogonal transformation was performed on scores for personality related questions.
Results
847 survey responses were used. Quarter horses, “other” breed and Thoroughbred were the most common breeds. Three principal personality components were extracted as each behavioral trait belonged to one of these three components. Arabians, Thoroughbreds, Saddlebreds and Walking horses were the most nervous and Quarter horses, Paints, Appaloosas and Drafts were the least nervous. No trained discipline was significantly associated with any personality component. There were no significant associations between stereotypies and misbehaviors and nervous or curious personality.
Conclusions
For the first time in predominantly American horses, we have evaluated personality components and their association with breed, age, sex, training discipline and stereotypies. We refute links between personality and trained discipline and confirm the lack of association between nervous personality and stereotypies and misbehaviors.
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Primack, R. B. (2010). Essentials of conservation biology. Fifth: Edition.
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Stenglein, J. L., Waits, L. P., Ausband, D. E., Zager, P., & Mack, C. M. (2011). Estimating gray wolf pack size and family relationships using non invasive genetic sampling at rendezvous sites. J Mammal, 92.
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Fuller, T. K., & Sampson, B. A. (1988). Evaluation of a simulated howling survey for wolves. J Widl Manag, 52.
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Burch, J. W., Layne, G. A., Follmann, E. H., & Rexstad, E. A. (2005). Evaluation of Wolf Density Estimation from Radiotelemetry Data. Wildl Soc Bull, 33.
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Pérez-Barbería, F. J., Shultz, S., & Dunbar, R. I. (2007). Evidence for coevolution of sociality and relative brain size in three orders of mammals. Evolution, 61.
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Fagot, J., & Cook, R. G. (2006). Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition. Proc Natl Acad Sci U S A, 103.
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Marr, I., Farmer, K., & Krueger, K. (2018). Evidence for Right-Sided Horses Being More Optimistic than Left-Sided Horses. Animals, 8(12), 219.
Abstract: An individual's positive or negative perspective when judging an ambiguous stimulus (cognitive bias) can be helpful when assessing animal welfare. Emotionality, as expressed in approach or withdrawal behaviour, is linked to brain asymmetry. The predisposition to process information in the left or right brain hemisphere is displayed in motor laterality. The quality of the information being processed is indicated by the sensory laterality. Consequently, it would be quicker and more repeatable to use motor or sensory laterality to evaluate cognitive bias than to perform the conventional judgment bias test. Therefore, the relationship between cognitive bias and motor or sensory laterality was tested. The horses (n = 17) were trained in a discrimination task involving a box that was placed in either a “positive” or “negative” location. To test for cognitive bias, the box was then placed in the middle, between the trained positive and negative location, in an ambiguous location, and the latency to approach the box was evaluated. Results indicated that horses that were more likely to use the right forelimb when moving off from a standing position were more likely to approach the ambiguous box with a shorter latency (generalized linear mixed model, p < 0.01), and therefore displayed a positive cognitive bias (optimistic).
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Frank, H. (1980). Evolution of canine information processing under conditions of natural and artificial selection. Z Tierpsychol, 5.
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