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Farmer, K., Krüger, K., Byrne, R. W., & Marr, I. (2018). Sensory laterality in affiliative interactions in domestic horses and ponies (Equus caballus). Anim. Cogn., 21(5), 631–637.
Abstract: Many studies have been carried out into both motor and sensory laterality of horses in agonistic and stressful situations. Here we examine sensory laterality in affiliative interactions within four groups of domestic horses and ponies (N = 31), living in stable social groups, housed at a single complex close to Vienna, Austria, and demonstrate for the first time a significant population preference for the left side in affiliative approaches and interactions. No effects were observed for gender, rank, sociability, phenotype, group, or age. Our results suggest that right hemisphere specialization in horses is not limited to the processing of stressful or agonistic situations, but rather appears to be the norm for processing in all social interactions, as has been demonstrated in other species including chicks and a range of vertebrates. In domestic horses, hemispheric specialization for sensory input appears not to be based on a designation of positive versus negative, but more on the perceived need to respond quickly and appropriately in any given situation.
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Fenner, K., Freire, R., McLean, A., & McGreevy, P. (2018). Behavioral, demographic and management influences on equine responses to negative reinforcement. Journal of Veterinary Behavior, .
Abstract: Understanding the factors that influence horse learning is critical to ensure horse welfare and rider safety. In this study, data were obtained from horses (n=96) training to step backwards through a corridor in response to bit pressure. Following training, learning ability was determined by the latency to step backwards through the corridor when handled on the left and right reins. Additionally, horse owners were questioned about each horse's management, training, behavior and signalment (such as horse breed, age and sex). Factors from these four broad domains were examined using a multiple logistic regression (MLR) model, following an Information Theoretic approach, for associations between horses' behavioral attributes and their ability to learn the task. The MLR also included estimates of the rider's ability and experience as well as owner's perceptions of their horse's trainability and temperament. Results revealed several variables including explanatory variables that correlated significantly with rate of learning. Horses were faster at backing, a behavioral trait, when handled on the right (t = 3.65, df = 94, P < 0.001) than the left side. Thoroughbred horses were slower at completing the tests than other breeds of horses when handled on the left side (LM, F1,48=4.5, P=0.04) and right side (LM, F1,45=6.0, P=0.02). Those in regular work, a training factor, did not learn faster than their unworked counterparts on the right rein but completed the task faster on the left rein (F1,44=5.47, P=0.02). This may reflect differences in laterality and habituation effects. In contrast, more anxious horses were faster at completing the test when handled from the right (Spearman, r=-0.22, P=0.04). It is possible that these horses have an increased arousal level when interacting with handlers, resulting in more engagement with the lesson, accounting for the improved performance results. The findings of this study will help clarify how horse behavior, training and management may influence learning and how their application may optimize learning outcomes. Future equine behavior assessment and research questionnaires should include items that assess these qualities.
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Fisher, J., & Hinde, R. A. (1994). The opening of milk bottles by birds. British Birds, (42), 347–357.
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Forrester, G., Hudry, K., Lindell, A., & Hopkins, W. D. (2018). Cerebral Lateralization and Cognition: Evolutionary and Developmental Investigations of Behavioral Biases (Vol. 238). Cambridge: Academic Press.
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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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Frank, H., & Frank, M. G. (1982). On the effects of domestication on canine social development and behavior. Appl Anim Ethol, 8.
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Freitas, J., Lagos, L., & Álvares, F. (2021). Horses as prey of wolves. CDPnews, 23, 1–9.
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Frère, C. H., Krützen, M., Mann, J., Connor, R. C., Bejder, L., & Sherwin, W. B. (2010). Social and genetic interactions drive fitness variation in a free-living dolphin population. Proc. Natl. Acad. Sci. U.S.A., 107(46), 19949–19954.
Abstract: The evolutionary forces that drive fitness variation in species are of considerable interest. Despite this, the relative importance and interactions of genetic and social factors involved in the evolution of fitness traits in wild mammalian populations are largely unknown. To date, a few studies have demonstrated that fitness might be influenced by either social factors or genes in natural populations, but none have explored how the combined effect of social and genetic parameters might interact to influence fitness. Drawing from a long-term study of wild bottlenose dolphins in the eastern gulf of Shark Bay, Western Australia, we present a unique approach to understanding these interactions. Our study shows that female calving success depends on both genetic inheritance and social bonds. Moreover, we demonstrate that interactions between social and genetic factors also influence female fitness. Therefore, our study represents a major methodological advance, and provides critical insights into the interplay of genetic and social parameters of fitness.
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Fritts, S. H., Bangs, E. E., & Gore, J. F. (1994). The relationship of wolf recovery to habitat conservation and biodiversity in the northwestern United States. Landsc Urban Plan, 28.
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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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