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Preventive veterinary medicine2025; 246; 106719; doi: 10.1016/j.prevetmed.2025.106719

Classification of donkey systems in Ethiopia.

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.
Publication Date: 2025-10-12 PubMed ID: 41106353DOI: 10.1016/j.prevetmed.2025.106719Google Scholar: Lookup
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Summary

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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.
  • Household questionnaires collected data on:
    • Donkey ownership details (number, age, purpose)
    • Husbandry practices (feeding, healthcare, management)
    • Primary use of donkeys (e.g., transport, agricultural work)
    • Local environmental and agro-ecological conditions
  • Data analysis included:
    • Multiple factor analysis – to reduce dimensionality and combine multiple types of data.
    • Hierarchical cluster analysis – to group households into distinct donkey systems based on similarity.

Findings: Identified Donkey Systems

  • Three distinct clusters were identified:
    • Domestic-Pastoral: Donkeys primarily used in pastoralist contexts, likely extensive grazing and transport in pastoral landscapes.
    • Domestic-Agricultural: Donkeys used mainly for agricultural activities in more settled farming environments.
    • Commercial: Donkeys kept for commercial transport or business-related purposes, possibly in peri-urban or urban settings.
  • These classifications reflect differences in:
    • Donkey purpose (type of work)
    • Environmental conditions (agro-ecological context)
    • Husbandry and management practices

Constraints and Welfare Concerns by System

  • Each donkey system faces distinct challenges:
    • 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

Publication

ISSN: 1873-1716
NlmUniqueID: 8217463
Country: Netherlands
Language: English
Volume: 246
Pages: 106719
PII: S0167-5877(25)00304-6

Researcher Affiliations

Asteraye, Girma Birhan
  • 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.

Citations

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