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Wingfield, J. C.,, & Ramenofsky, M. (1999). Hormones and the behavioral ecology of stress. In P. H. M. Balm (Ed.), Stress physiology in animals. (pp. 1–51). Sheffield, United Kingdom: Sheffield Academic Press.
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Dyer, F. C. (2000). Individual cognition and group movement: insights from social insects. In P. Garber, & S. Boinski (Eds.), Group Movement in Social Primates and Other Animals: Patterns, Processes, and Cognitive Implications.. Chicago: University of Chicago Press.
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Byrne, R. W. (2000). How monkeys find their way: leadership, coordination, and cognitive maps of African baboons. In S. Boinski, & P. A. Garber (Eds.), On the Move: How and Why Animals Travel in Groups (pp. 491–518). Chicago: Chicago University Press.
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Holekamp, K. E., Boydston, E.E, & Smale, L. (2000). Group Travel in Social Carnivores (S. Boinski, & P. A. Garber, Eds.). Chicago: Chicago University Press.
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Hau, J., Andersson, E., & Carlsson, H. - E. (2001). Development and validation of a sensitive ELISA for quantification of secretory IgA in rat saliva and faeces. Laboratory Animals, 35(4), 301–306.
Abstract: Non-invasive measures of immunological markers are an attractive means of stress assessment in laboratory animals. Salivary IgA has been used successfully as a stress marker in the human, and several reports indicate the potential of secretory IgA as a non-invasive measure of stress in animals. The present paper describes the development of an ELISA using commercially available components for the quantification of rat IgA and validation of this assay for the quantification of rat secretory IgA in saliva and faeces. The concentration of IgA in rat saliva varied significantly between duplicate samples obtained from individual rats, and the viscosity and small total volume of rat saliva gave unsatisfactory results for IgA. Faecal IgA was present in high concentrations, and duplicate samples varied by only 2-3%. However, faecal IgA seemed less stable than IgA in other biological compartments, and this finding must be taken into consideration when using quantitative measurements of IgA as a marker of mucous humoral immune status.
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Heyes, C. M. (2002). Transformation and associative theories of imitation. In K. Dautenhahn, & C. L. Nehaniv (Eds.), Imitation in animals and artefacts (pp. 501–523). Cambridge, MA.: MIT Press.
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Russell, L. A. (2003). Decoding Equine Emotions. Society and Animals, 11(3), 265–266.
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Brandt, K. (2004). A Language of Their Own: An Interactionist Approach to Human-Horse Communication. Society and Animals, 12(4), 299–316.
Abstract: This paper explores the process of human-horse communication using ethnographic data of in-depth interviews and participant observation. Guided by symbolic interactionism, the paper argues that humans and horses co-create a language system by way of the body to facilitate the creation of shared meaning. This research challenges the privileged status of verbal language and suggests that non-verbal communication and language systems of the body have their own unique complexities. This investigation of humanhorse communication offers new possibilities to understand the subjective and intersubjective world of non-verbal language using beings-human and nonhuman alike.
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Hedberg, Y., Dalin, A. - M., Ohagen, P., Holm, K. R., & Kindahl, H. (2005). Effect of oestrous-cycle stage on the response of mares in a novel object test and isolation test. Reprod Domest Anim, 40(5), 480–488.
Abstract: In various species, sex, hormonal treatments and oestrous-cycle stage have been shown to affect the animal's response in behavioural tests. Few such studies have been performed in the horse. The main aim of the present study was to investigate whether oestrous-cycle stage affects mares' response to a novel object test and isolation test and, in part, to study whether mares, assumed to suffer from oestrous-related behavioural problems, respond differently in these tests when compared with controls. Twelve mares were tested twice, in oestrus and dioestrus, in a crossover design. Seven behavioural and two heart rate variables were measured for the novel object test and two heart rate variables for the isolation test. Oestrous-cycle stage and whether a mare was classified as a 'problem' mare did not affect the mare's response. However, test order, i.e. the cycle stage a mare was tested in first, affected its reaction. This effect could partly be explained by significant differences between test occasions 1 and 2 in three behavioural variables and one heart rate variable (p < 0.05) in the novel object test. The mares explored the novel object more and had a higher mean heart rate in the first test. Exploring the novel object more could largely be attributed to those mares tested in dioestrus first, perhaps indicating that the mares in oestrus were less receptive to the novel object. The reason for the differences between test occasions could be an effect of learning or habituation.
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Allen, C. (2006). Transitive inference in animals: Reasoning or conditioned associations? In S. Hurley, & M. Nudds (Eds.), Rational Animals? (pp. 175–186). Oxford: Oxford University Press.
Abstract: It is widely accepted that many species of nonhuman animals appear to engage in transitive inference,
producing appropriate responses to novel pairings of non-adjacent members of an ordered series
without previous experience of these pairings. Some researchers have taken this capability as
providing direct evidence that these animals reason. Others resist such declarations, favouring instead
explanations in terms of associative conditioning. Associative accounts of transitive inference have
been refined in application to a simple 5-element learning task that is the main paradigm for
laboratory investigations of the phenomenon, but it remains unclear how well those accounts
generalise to more information-rich environments such as social hierarchies which may contain scores
of individuals, and where rapid learning is important. The case of transitive inference is an example of
a more general dispute between proponents of associative accounts and advocates of more cognitive
accounts of animal behaviour. Examination of the specific details of transitive inference suggests
some lessons for the wider debate.
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