donkey

Donkeys have significant behaviour variations in comparison with horses, due to each species evolving in different environments. Donkeys have a reduced flight response compared with horses, but an increased tendency to display fight or freeze behaviours. Unlike horses, they can display territorial, defensive behaviour and show a wide range of sexual behaviours that require consideration during management. Donkeys can bond strongly to other donkeys or animals and separating bonded companions can cause stress severe enough to induce the potentially fatal condition hyperlipaemia. Donkeys show stoic body language in response to pain. Awareness of subtle behavioural indicators of fear and pain can improve donkey welfare and improve handler safety.

The last twenty years have seen increased interest in animal-assisted therapy (AAT) and animal-assisted activity (AAA). However, there has been little research exploring these interactions as experienced by the animals themselves. In this paper, we bring a “more-than-human” lens to concepts and practices within AAA/T, synthesizing ideas about animal sentience and subjectivity that have emerged within animal geography scholarship and animal welfare science. We draw from empirical work with practitioners involved in donkey-facilitated learning (DFL) to examine the knowledge base of equine facilitators, including their beliefs, opinions, and assumptions about donkeys, their understanding of animal welfare, and their role in DFL. We discuss how knowledge of donkeys is mobilized to ensure more-than-human welfare during DFL; how animals’ “choice” to participate is encouraged and centered; how ideas of nonhuman labor create opportunities for considering more-than-human welfare; and how practitioners advocate for animals and embed practices of care for humans and nonhumans.

This paper explores the interwoven lives of donkeys and the people who depend on them for their livelihoods in central Ethiopia. Drawing on data from 12 participatory workshops, insights were elicited into the ways human co-workers value and treat their donkey co-workers. Methodologically, Participatory Rural Appraisal (PRA) and Appreciative Inquiry (AI) techniques were merged to explore the complex and multi-dimensional contributions donkeys make to participants’ lives. Findings reveal working with donkeys can make the difference between destitution and modest survival, but societal perception of donkeys as low-status animals has an impact on their owners’ lives and donkey wellbeing. This research contributes empirical insights on the valuing of donkeys and enables a deepened understanding of human-donkey relations. The combination of PRA and AI in the methodology demonstrates how to formulate a compassionate and empathetic approach for exploring donkey value and wellbeing with marginalized groups.

Ethiopia is home to approximately 19% of the estimated global donkey population of 45.8 million (FAO, 2018). These donkeys’ lives are intricately linked with the lives of people who own and work with them, often some of Ethiopian society’s most impoverished and marginalized members (Admassu & Shiferaw, 2011). Through their labor, donkeys provide transportation and draught power and can make a significant contribution to people’s livelihoods, enabling access to water, foodstuffs, education, and healthcare (Geiger et al., 2020; Maggs et al., 2021). But the social, economic, and cultural value of donkeys is more nuanced than this broad statement suggests, differing with the intricacies of the lives and requirements of the human(s) with whom they coexist. To support donkeys and those who depend upon them, it is necessary to further our understanding of the value placed on donkeys and the subtleties of their impact on people’s lives. Despite their important contributions to many of Ethiopia’s impoverished, donkeys remain absent from the government’s nonhuman animal health and welfare policies, are overlooked in development goals, and are undervalued by wider society. Thus, exploring how humans affect donkeys’ wellbeing is crucial for understanding and valuing donkeys’ impact in low- and middle-income countries.

While the number of recent studies analyzing the health and welfare of donkeys in Africa (Burn et al., 2010; Farhat et al., 2020; Geiger et al., 2021; Hiko et al., 2016; Stringer et al., 2017) has increased, little research has been conducted on social, economic, and cultural contributions of donkeys in these contexts (Maggs et al., 2021; Valette, 2015). Only a few studies focus on relationships between donkeys and their human counterparts in the African context (Geiger et al., 2020; Geiger & Hovorka, 2015). Methodologies in the scarce published literature have primarily been surveys, focus groups, questionnaires, and interviews (Hassan et al., 2013; Maggs et al., 2021; Sawi & Bwanga, 2008; Vasanthakumar et al., 2021). Few go beyond donkeys’ socioeconomic and sociocultural value to draw insights from data concerning the impacts of these animals on human lives, particularly in the Global South (Geiger & Hovorka, 2015; Geiger et al., 2020; Maggs et al., 2021; Vasanthakumar et al., 2021).

The suckling behavior of donkey foals has rarely been explored, with most orphans being reared on protocols based on the assumption that their behavior and physiology do not differ from horses. An orphaned donkey foal at The Donkey Sanctuary was reared on an artificial suckling system, enabling the analysis of suckling behavior in an orphaned donkey. Milk formula was accessible 24-hours per day via the artificial system and suckling behavior was monitored, revealing that the foal suckled at a variable rate, with suckling durations, frequency and quantities differing from what was outlined in the standard bottle-feeding protocol for equines.

Donkeys (Equus asinus) are facing a global crisis. Their welfare, and even survival, is being compromised as the demand for their skins increases. This demand is driven by the need to supply raw materials to produce ejiao, a traditional Chinese medicine made from collagen extracted from donkey skins. Since there is no productive chain for donkey skin production outside of China, the global trade is an entirely extractive industry that has resulted in the decimation of some local donkey populations. The donkey skin trade is demonstrably unsustainable, from the ethical issues associated with poor welfare, to the biosecurity and human health risks the trade poses; and it violates both legal frameworks and moral expectations at both a national and global level.

Background: Donkeys make up a small but important percentage of patients seen by equine and mixed practices, but, while similar to horses in many respects, they have different management needs. Many of these differences are evident in the anaesthesia setting, and differentiating the treatment of donkeys from ‘small horses’ can lead to better outcomes for patients, owners and practices.

Aim of the article: This article highlights the differences between donkeys and horses with regards to induction and maintenance of anaesthesia and provides practical tips about performing safe anaesthesia of donkeys.

Maintaining animal health and performance relies on the availability of an appropriate diet. For herbivores, accurate assessment of forage nutrient quality is critical for appropriate diet formulation and rationing, including potential supplementation. Near-Infrared Reflectance Spectroscopy (NIRS) is a rapid method that is used in place of traditional chemical methodologies (wet chemistry) to predict analyte contents in forage samples. The method relies on scanning a sample with near-infrared light and predicting the analyte content by comparing the reflected spectra to a model which has been developed with samples of known analyte content measured by wet chemistry. The purpose of this study was to examine the accuracy of four NIRS-based methods on haylage from seven farm holdings compared with wet chemistry (the control). We analysed 64 samples for a range of analytes (dry matter (DM), pH, ash, acid detergent fibre expressed inclusive of residual ash (ADF), neutral detergent fibre assayed with a heat stable amylase and expressed inclusive of residual ash (aNDF), crude protein and water-soluble carbohydrate (WSC)) commonly assessed for haylage quality in equid nutrition. We compared results obtained by wet chemistry to corresponding NIRS-based predictions from four commercially available NIRS services. The results revealed large discrepancies amongst all five methods. For DM, average bias (mean±SD) for three reported methods was -15.5±188.4, -10.1±50.4, 12.9±33.8 g/kg respectively and for WSC reporting positive bias from four methods of 26.9±51.3, 24.8±38.2, 26.2±50.1 and 14.5±45.2, g/Kg respectively. The extent of these discrepancies from the wet chemistry also varied by analyte where for example, predictions for DM were more reliable than those for WSC and results demonstrated that predictions obtained by NIRS could result in feeding forage outside of target nutritional values.

Assessment of chronic pain is very important for monitoring and improving welfare and quality of life in donkeys. Freedom from disease and pain is one of the ‘five freedoms’ underlying animal welfare. The aim of the current study was to develop a pain scale for assessment of chronic pain in donkeys (Donkey Chronic Pain Scale; DCPS), including behavioural and facial expression-related parameters. The scale was applied to 77 donkeys (38 donkeys diagnosed with chronic health problems by means of clinical examination and additional diagnostic procedures and 39 healthy control animals). Animals were assessed twice daily for three consecutive days by two observers that were not masked to the condition of the animals but were unaware of the analgesic treatment regimens. Both composite, facial expression-based and combined DCPS pain scales showed excellent inter-observer reliability (Cronbach’s alpha = 0.98, 0.96 and 0.98 respectively; P < 0.001). Individual composite and facial expression-based pain scores and the resulting combined DCPS showed significant differences between donkeys with chronic conditions and control donkeys at all time points (P < 0.001). A DCPS cut-off of 6 showed good sensitivity and specificity (92% and 82.5% respectively) for presence of a chronic painful condition. Facial expression-related parameters separately showed low sensitivity. In conclusion, it is possible to use a composite pain scale for assessment of chronic pain in donkeys, based on behavioural and facial expression-based parameters. Further studies are needed to validate this pain scale before it can be used in veterinary practice.