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Graph-based impact analysis as a framework for incorporating practitioner knowledge in dairy herd health management
M Krieger1, E-M Schwabenbauer1, S Hoischen-Taubner1
11Department of Animal Nutrition and Animal Health,University of Kassel,Nordbahnhofstrasse 1a,D-37213 Witzenhausen,Germany.
Identifying key factors for dairy cow production diseases requires farm-specific analysis. Graph-based impact analysis helps pinpoint influential variables like feeding and hygiene for tailored herd health planning.
Area of Science:
- Veterinary Medicine
- Animal Science
- Agricultural Management
Background:
- Production diseases in dairy cows are multifactorial, influenced by complex farm variables.
- Current statistical models identify influential variables for groups of farms but not individual ones.
- Farm-specific herd health planning necessitates understanding unique influential factors.
Purpose of the Study:
- To rank variables by their anticipated effect on production diseases at the individual farm level.
- To apply graph-based impact analysis to identify key farm-level drivers of disease.
- To support tailored herd health planning strategies for organic dairy farms.
Main Methods:
- Graph-based impact analysis applied to 192 European organic dairy farms.
- Estimation of direct impacts between 13 pre-defined variables via practitioner discussions.
- Elaboration of indirect impacts through graph analysis considering impact strengths.
Main Results:
- 'Feeding', 'hygiene', and 'treatment' showed the most direct influence on production diseases.
- 'Knowledge and skills' and 'herd health monitoring' had the most indirect influence.
- Production diseases significantly impacted 'milk performance', 'financial resources', and 'labour capacity'.
Conclusions:
- Farm-specific ranking of variables revealed significant differences between farms.
- Tailored strategies are necessary for reducing production diseases due to farm-specific factors.
- Graph-based impact analysis is a valuable decision support tool for herd health planning, complementing general knowledge with contextual insights.
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