ReviewCompanion animal health and genetics2025
Moving from information and collaboration to action: report from the 5th International Dog Health Workshop in Helsinki, June 2024.
Review in Companion animal health and genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
15 authors.
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Abstract
backgroundThe International Partnership for Dogs, together with a rotating national host organisation, holds approximately biennial meetings called the International Dog Health Workshop (IDHW). These workshops bring together a broad range of stakeholders in dog health and welfare, including scientists and veterinary practitioners, to improve the international sharing of information and resources, to provide a forum for ongoing collaboration, and to identify and agree on specific needs and actions to improve canine health and welfare. WORKSHOP PRESENTATION: 5th International Dog Health Workshop was hosted by the Finnish Kennel Club in Helsinki, Finland, in June 2024. The workshop was structured around four key issues facing those working to improve dog health: 'Supply and Demand', 'Breeding for Health and Well-Being', 'Big Data', and 'Does the Colour Matter? Defining Breed vs. Variety'. The workshop provided an opportunity for participants to meet face-to-face after a five-year hiatus due to COVID-19, on the 10
conclusionsIn summary, key agreements from the 5th IDHW were that organisations must comply fully with relevant national animal welfare legislation, that organisations must work to eliminate extreme conformations from all dogs and to improve and maintain genetic diversity within subpopulations of dogs, and that organisations should recognise and support crossbreeding as an accepted and valuable tool for modern dog breeding.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.