Abstract: Working donkeys play a critical role in transportation, agriculture and household resilience in low- and middle-income countries. Other animals that are kept for production purposes, such as cattle, are often grouped into broad production system classes, such as dairy or pastoral, for comparison between and better understanding of the needs and outputs of animals within specific sectors. Despite the importance of working donkeys for sustaining livelihoods there are no systematic classifications of these populations. The aim of this study was to classify and characterise donkey systems in Ethiopia using household-level questionnaire data which included donkey ownership, husbandry, use and local environment data, through multiple factor and hierarchical cluster analysis. Household questionnaire data from 241 donkey-owning households in three districts of Ethiopia were used. Three distinct clusters of donkey ownership were identified: 'Domestic-Pastoral'; 'Domestic-Agricultural' and 'Commercial'. Differences between systems are primarily influenced by donkey purpose, environmental (agro-ecological) factors, and husbandry practices. Constraints associated with donkey ownership varied across clusters: households in the commercial system reported higher incidence of injuries and welfare concerns, in the pastoral system the main constraints were drought and feed shortage, and domestic-agricultural households reported infectious diseases as the main challenge. This new classification of donkey systems provides a framework for analysing donkey health and welfare data, enabling more context-specific needs assessments and facilitating the design of targeted interventions to improve equid health and household livelihoods.
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Overview
This study aimed to classify different donkey-keeping systems in Ethiopia by analyzing household data on donkey use, ownership, and environment.
They identified three distinct donkey systems, which vary in terms of donkey purpose, environment, husbandry, and challenges faced.
Introduction and Background
Working donkeys are essential for transportation, agriculture, and supporting household resilience, especially in low- and middle-income countries like Ethiopia.
Unlike other livestock (e.g., cattle) that are often categorized into production systems such as dairy or pastoral, working donkeys lack systematic classification.
Developing clear classifications helps in comparing different systems and understanding the needs and outputs of donkeys based on their socio-economic and environmental contexts.
Aim of the Study
To systematically classify and characterize donkey systems in Ethiopia.
Utilize household-level questionnaire data on donkey ownership, use, husbandry practices, and local environmental factors.
Apply statistical techniques (multiple factor and hierarchical cluster analysis) to identify distinct donkey-keeping systems.
Methodology
The study involved 241 donkey-owning households across three districts in Ethiopia.
Commercial system: Higher reported incidence of injuries and welfare concerns potentially due to heavy workload or inadequate care.
Domestic-Pastoral system: Major constraints include drought and feed shortages affecting donkey health and sustainability.
Domestic-Agricultural system: Infectious diseases reported as the main challenges, possibly linked to more confined or intensive donkey use.
Implications and Importance
This new classification framework:
Enables researchers and policymakers to better analyze donkey health and welfare data within culturally and ecologically relevant contexts.
Facilitates targeted and context-specific interventions to improve donkey health, welfare, and functionality.
Supports improved household livelihoods by enhancing the sustainability of donkey use systems.
By identifying system-specific constraints, interventions can be designed with local priorities and challenges in mind rather than applying a one-size-fits-all approach.
Conclusion
The study fills a knowledge gap by providing the first systematic classification of donkey systems in Ethiopia.
Recognizing different donkey systems helps understand their diverse roles and management practices.
This foundational work supports future research, welfare assessments, and policy planning to improve working donkey welfare and the livelihoods depending on them.
Cite This Article
APA
Asteraye GB, Jobling R, Jemberu WT, Pinchbeck G, Knight-Jones TJD, Critchlow R, Rushton J, Chaters GL.
(2025).
Classification of donkey systems in Ethiopia.
Prev Vet Med, 246, 106719.
https://doi.org/10.1016/j.prevetmed.2025.106719
Global Burden of Animal Diseases programme, United Kingdom; Institute of Infection, Veterinary and Ecological Sciences, Department of Livestock and One Health, University of Liverpool, Liverpool, United Kingdom; International Livestock Research Institute, Addis Ababa, Ethiopia; College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia. Electronic address: Girma.Asteraye@liverpool.ac.uk.
Jobling, Ruth
Brooke: Action for Working Horses and Donkeys, London, United Kingdom. Electronic address: Ruth.Jobling@thebrooke.org.
Jemberu, Wudu T
Global Burden of Animal Diseases programme, United Kingdom; International Livestock Research Institute, Addis Ababa, Ethiopia; College of Veterinary Medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia. Electronic address: w.temesgen@cgiar.org.
Pinchbeck, Gina
Institute of Infection, Veterinary and Ecological Sciences, Department of Livestock and One Health, University of Liverpool, Liverpool, United Kingdom. Electronic address: ginap@liverpool.ac.uk.
Knight-Jones, Theodore J D
Global Burden of Animal Diseases programme, United Kingdom; International Livestock Research Institute, Addis Ababa, Ethiopia. Electronic address: T.Knight-Jones@cgiar.org.
Critchlow, Rob
Department of Biology, University of York, Wentworth Way, York YO10 5DD, United Kingdom; Leverhulme Centre for Anthropocene Biodiversity, University of York, York, United Kingdom. Electronic address: rob.critchlow@york.ac.uk.
Rushton, Jonathan
Global Burden of Animal Diseases programme, United Kingdom; The Centre for Health Informatics, Computing and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom. Electronic address: jrushton@liverpool.ac.uk.
Chaters, Gemma L
Global Burden of Animal Diseases programme, United Kingdom; Leverhulme Centre for Anthropocene Biodiversity, University of York, York, United Kingdom. Electronic address: g.chaters@lancaster.ac.uk.
MeSH Terms
Animals
Ethiopia
Equidae
Animal Husbandry / classification
Animal Husbandry / methods
Animal Husbandry / statistics & numerical data
Ownership / statistics & numerical data
Surveys and Questionnaires
Animal Welfare
Female
Conflict of Interest Statement
Declaration of Competing Interest The authors declare that they have no conflict of interest.