The authors obtained behavioral observations and personality ratings for 27 free-ranging Hanuman langur males. Subjects were rated using a questionnaire based on the human Five-Factor Model (FFM). Behavioral observations were taken over 5 months using an ethogram that included 50 behaviors. Principal Component Analysis (PCA) of ratings revealed Agreeableness_(R), Confidence_(R), and Extraversion_(R) components. Each personality dimension was associated with a unique set of observed behaviors. PCA of 36 behavioral indices revealed Dominance_(B), Involvement_(B), and Activity_(B) components. Bivariate correlations showed that Agreeableness_(R) was negatively correlated with Dominance_(B); Confidence_(R) was positively correlated with Dominance_(B) and Involvement_(B) but negatively correlated with Activity_(B); and Extraversion_(R) was positively correlated with Activity_(B). Dominance rank was positively correlated with Confidence_(R) and Dominance_(B) but negatively correlated with Agreeableness_(R) and Activity_(B). These results highlight the comparability of behavioral coding and personality ratings and suggest that some aspects of personality structure were present in the common ancestor of Old World monkeys.

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In a previous study, we suggested that the common practice of transporting a mare for mating and then bringing her back to an environment that also contains males that did not sire the fetus may be a major cause of high percentages of pregnancy disruption in domestic horses. In this study, we tested whether disruption of pregnancies induced by AI occurs as frequently as after mating with a strange stallion away from home and is affected by the same factors in the home social environment. Based on 77 records, the probability of pregnancy disruption after AI depended on the social environment in which the mare was maintained after mating and the number of foals the mare had delivered in the past. Also after AI, as with natural matings away from home, the probability of pregnancy disruption was higher when the mare had no male company in her enclosure but stallions or geldings were present in an adjacent enclosure than when the mare was sharing the enclosure with geldings (generalized linear mixed model = 8.68, = 0.007, odds ratio = 8.17). These data support the prediction that the mare perceives conception after AI equally to natural mating with a strange stallion. The results suggested pregnancy disruption may be stimulated by the social circumstances of the home environment in mares artificially inseminated as in mares mated naturally away from home. The practical implications of this result is that after AI, to reduce risk of pregnancy disruption and improve welfare, horse breeders should place the pregnant mare into an environment with no stallion or stallions/gelding or geldings or to an enclosure together with the male or males.

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