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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Zabel, C. J., Glickman, S. E., Frank, L. G., Woodmansee, K. B., & Keppel, G. (1992). Coalition formation in a colony of prepubertal spotted hyaenas. In A. H. Harcourt, & F. B. M. de Waal (Eds.), Coalitions and Alliances in Humans and Other Animals (pp. 113–135). Oxford: Oxford University Press.
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Silk, J. B. (1992). Patterns of intervention in agonistic contests among male bonnet macaques. In F.B.M. and de Waal A. H. Harcourt (Ed.), Coalitions and Alliances in Humans and Other Animals (pp. 215–232). Oxford: Oxford University Press.
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Connor, R. C., Smokler, R. A., & Richards, A. F. (1992). Dolphin alliances and coalitions. In A. H. Harcourt, & F. B. M. de Waal (Eds.), Coalitions and Alliances in Humans and Other Animals (pp. 415–443). Oxford: Oxford University Press.
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Noë, R. (1992). Alliance formation among male hamadryas baboons: shopping for profitable partners. In A. H. Harcourt, & F. B. M. deWaal (Eds.), Coalitions and alliances in humans and other animals (pp. 284–321). Oxford: Oxford University Press.
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Tomasello, M. (1996). Do apes ape? In C. M. Heyes, & B. G. Galef (Eds.), Social learning in animals: the roots of culture (pp. 319–346). London: Academic Press.
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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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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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Siegel, H. S. (1987). Effects of behavioural and physical stressors on immune responses. London: Martinus Nijhoff.
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Wolter, R., Stefanski, V., & Krueger, K. (2018). Parameters for the Analysis of Social Bonds in Horses. Animals, 8(11), 191.
Abstract: Social bond analysis is of major importance for the evaluation of social relationships in group housed horses. However, in equine behaviour literature, studies on social bond analysis are inconsistent. Mutual grooming (horses standing side by side and gently nipping, nuzzling, or rubbing each other), affiliative approaches (horses approaching each other and staying within one body length), and measurements of spatial proximity (horses standing with body contact or within two horse-lengths) are commonly used. In the present study, we assessed which of the three parameters is most suitable for social bond analysis in horses, and whether social bonds are affected by individual and group factors. We observed social behaviour and spatial proximity in 145 feral horses, five groups of Przewalski�s horses (N = 36), and six groups of feral horses (N = 109) for 15 h per group, on three days within one week. We found grooming, friendly approaches, and spatial proximity to be robust parameters, as their correlation was affected only by the animals� sex (GLMM: N = 145, SE = 0.001, t = �2.7, p = 0.008) and the group size (GLMM: N = 145, SE < 0.001, t = 4.255, p < 0.001), but not by the horse breed, the aggression ratio, the social rank, the group, the group composition, and the individuals themselves. Our results show a trend for a correspondence between all three parameters (GLMM: N = 145, SE = 0.004, t = 1.95, p = 0.053), a strong correspondence between mutual grooming and friendly approaches (GLMM: N = 145, SE = 0.021, t = 3.922, p < 0.001), and a weak correspondence between mutual grooming and spatial proximity (GLMM: N = 145, SE = 0.04, t = 1.15, p = 0.25). We therefore suggest either using a combination of the proactive behaviour counts mutual grooming and friendly approaches, or using measurements of close spatial proximity, for the analysis of social bonds in horses within a limited time frame.
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