Utility Dog Breeds Excel in Social Learning Tasks

Study Chiang Mai, Thailand, September 16, 2025 – A 2025 study by Péter Pongrácz and Petra Dobos reveals that ancestry-based breed groups show significant differences in social learning capacity, with modern utility dog breeds excelling in detour tasks that test human-guided problem solving.

Behaviour plays a crucial role in how dogs adapt to living alongside humans. While selective breeding has long been known to shape morphology and temperament, new research highlights how ancestry also influences social learning abilities. In their 2025 study, Pongrácz and Dobos analysed data from 174 dogs tested in spatial problem-solving detour tasks, focusing on whether genetic ancestry affected performance.

The results showed that modern utility breeds demonstrated the highest capacity for observational learning from humans. Interestingly, breeds from English herding groups and sight hounds also displayed strong social learning performance, despite differences in historical functions. This suggests that genetically related breeds may share overlapping sociocognitive traits regardless of their cooperative or independent working backgrounds.

The study provides the first evidence that ancestry-based clustering of breeds can result in meaningful phenotypic differences in learning. This strengthens the idea that dog breeds can serve as ecologically valid models for studying both immediate behavioural processes and broader evolutionary events. The findings highlight how functional selection and genetic history jointly shape the ways in which different breeds respond to human guidance.

For dog owners and trainers, this research underscores the importance of considering a breed’s ancestral background when setting expectations for training, problem-solving, and cooperation in daily life.

Source: Pongrácz, P., & Dobos, P. (2025). Natural Born Detourers: Modern Utility Dog Breeds Show Ancestry‐Based Superiority in Social Learning Capacity in a Detour Task. Evolutionary Applications, 18. Publication Date: August 1, 2025. References: 44. Citations: –.

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