Healthy hen or happy hen? Disease-welfare trade-offs in extensive poultry systems

Lead Research Organisation: Queen's University Belfast
Department Name: Sch of Biological Sciences

Abstract

Change in poultry production systems from highly intensive eg caged laying hens and mass indoor broiler rearing, towards more extensive or free-range systems is accelerating, driven by consumer concerns over animal welfare. Consumers are generally unaware that intensification brought significant benefits for disease control through biosecurity and breaking transmission cycles. Moving to extensive systems risks reversing those benefits, leading to different welfare problems including from disease and increased antimicrobial use. While possible in principle to optimize such health-welfare trade-offs, this is not currently feasible because the link between extensification and disease risk is poorly characterized, and because optimization implies a common currency that does not yet exist. Welfare indicators based on behavioral freedoms or a 'life worth living', including freedom from pain, have diverged from the widely acknowledged but poorly measured welfare consequences of poor health due to infectious diseases. This dissonance must be reconciled to design systems that deliver good health and good welfare together. Moreover, the abatement of disease in extensive systems by means other than increased antimicrobial use requires creative new solutions, which if successful could simultaneously support health and welfare. Hypothesis:
-Birds in extensive poultry systems experience higher levels of infection with environmentally transmitted parasites;
-These parasites are associated with poor health and production outcomes;
-Health and other welfare indicators can be combined into a meaningful single currency for optimization across dimensions;
-Modification of extensive systems can achieve improved health without compromising on other welfare, maximizing benefits of extensification.

Work plan
-Sample parasite infections and host status across intensive-extensive gradient
Laying hen and broiler farmers will be recruited spanning intensive, commercial extensive and smallholder flocks with a variety of housing systems. Details of housing system, antimicrobial (including anticoccidial and anthelmintic) usage and health problems will be collected by questionnaire and semi-structured interview. The student will visit a subset of farms chosen along an intensive-extensive gradient to sample faeces and, where available under normal farm management (slaughter or culling), carcases for post mortem assessment of parasite and pathogen burdens. Next generation sequencing will be used to measure pathogen diversity from faeces. Performance metrics including growth rates and egg yield and quality will be collected at flock and, where possible, individual bird levels; with welfare benchmark indicators. Data will be analysed using generalized linear mixed models, to characterize correlations between housing system and the load and diversity of parasites and pathogens, to address the first hypotheses.
-Develop and apply precision interventions to attenuate infection risk in extensive settings
Population dynamic models will be developed for the major macro and microparasite species found, to include ascarid worms, coccidia and key bacterial species, using established SIR mathematical frameworks but using Netlogo software to add explicit consideration of housing space (indoor and outdoor) and hence variation in host density and contact rates through spatial clustering. The models will be used to evaluate the impact of refinements to housing on parasite transmission. Selected interventions will be trialed in participating extensive flocks experiencing disease problems and impact on infection, performance and welfare measured.
-Combine welfare metrics and evaluate consequences of system change and interventions
Individual welfare indicators will be compared across production systems and interviews (of producers, health advisors and the public) on perceptions of welfare and disease impacts used to derive a novel disease welfare indicator.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
BB/T008776/1 01/10/2020 30/09/2028
2728163 Studentship BB/T008776/1 01/10/2022 30/09/2026 Helen Laird