Abstract

As companion animals, a dog's lifestyle is mainly determined by its owner. Discrepancies between the dog's preferences and the owner's lifestyle might lead to the occurrence of unwanted behaviours that affect both the owner-dog relationship and the dog's welfare. The aim of this study was to identify behavioural traits that are characteristic of German Shepherd dogs (GSDs), and to analyse the relation between behavioural traits and demographic and management factors. Dog owners from the UK and Sweden were asked to complete two surveys, the established C-BARQ behavioural survey and a lifestyle survey developed for the study. A principal component analysis was applied to determine behavioural components for GSDs. Fifteen components were found to sufficiently explain the variance in the responses to C-BARQ, with the components Stranger-directed aggression and Dog-directed aggression explaining the greatest proportion of the variance in the data (12% and 10%, respectively). Linear models were then applied to assess the relationship between behaviour components and lifestyle factors using backward elimination to identify the model that best predicted the behaviour component. The cohort (UK or Sweden) and the age of the dog were associated with the highest number of behaviour components. This study showed that various demographic and management factors were associated with the expression of behavioural traits in GSDs. Results from this analyses may help to understand the interaction between the expression of external factors and dog behavioural traits and thus, improve the well-being of dogs and owners by reducing problem behaviours.

Keywords

C-BARQ; Behaviour components; Lifestyle; Working dog

Published in

Applied Animal Behaviour Science
2019, Volume: 211, pages: 67-76

SLU Authors

• Strandberg, Erling

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Animal and Dairy Science
Other Veterinary Science


Publication identifier

DOI: https://doi.org/10.1016/j.applanim.2018.12.004

Permanent link to this page (URI)

https://res.slu.se/id/publ/98112