Assessment of Phenotypic Characteristics and Work Suitability for Working Donkeys in the Central Highlands in Kenya

Feral Donkey Distribution and Ecological Impacts in a Hyper-Arid Region

The feral donkey (Equus asinus L.) is an invasive species in Saudi Arabia and can cause severe damage to natural and cultural heritage. Over the last 30 years, feral donkeys have become a serious problem, as their abundance and geographic distribution has increased drastically. The impacts of feral donkeys are not well documented, and information about their abundance and distribution is lacking, certainly in Saudi Arabia, which hampers the implementation of effective management plans. Accordingly, we used the minimum population number approach (MPN) to determine the number of feral donkeys in this part of northwest Saudi Arabia. A total of 1135 feral donkeys were encountered in the region. The area around Khaybar harbors ~25% (n = 338) of the feral donkey population, whereas Tayma and AlGhrameel nature reserves were the least-inhabited sites (almost absent). The average population density of feral donkeys was estimated as 1.03 (0.19 SE) donkey/km2. We documented the negative ecological impact of feral donkeys on natural resources, which constituted overgrazing that resulted in habitat fragmentation and competition for resources with native species. We propose urgent actions to control the presence of feral donkeys in the region and suggest humane eradication as the most efficient and applicable to significantly reduce the negative impacts of feral donkeys.

Phenotypic characterization of donkey population in South Omo Zone, Southern Ethiopia

The study conducted in South Omo Zone, Southern Ethiopia with the aim of investigation within population diversification and characterization morphologically that helps to fill the gap of molecular characterization on this population. The data was collected from 500 adult donkeys from both sexes. Quantitative data was subjected to SAS GLM procedures by fitting districts and sex as the main effects. Qualitative data was subjected to a chi-square test with the district as the main effect. Color graph of donkey was done using Microsoft Excel, 2010. For both qualitative and quantitative data, the significance test was conducted at 5% of the level of error, and Tukey multiple range tests were used to separate the significance levels for the two types of data. CANDISC was used to calculate Mahalanobis distances, DISCRIM was used to cluster observations into predetermined groups, and STEPDISC was used to determine the quantitative characteristics that better differentiate populations. Roan coat color cover highest number compare with other coat color of donkey population. Quantitative traits of donkey has variation (P < 0.05) both in study areas and sex of donkeys. Overtly, except height at wither and height at the back Hammer donkey has mostly better metric value than the rest districts of the study areas. Moreover, CANDISC show variation on Hammer and Dasenech districts of donkey population. Furthermore, the longest (6.32) Mahalanobis distance observed in between Hammer and Dasenech donkey population. The Hammer and Dasenech donkey population is where the study fills in population variation the most. This can be because to management or genetics. Therefore, additional research might be required. Furthermore, morphometric measures show that donkey sex is similar, with the exception of heart girth circumference. This can be the result of poor selection, where superior male donkeys are sold for a higher price. Therefore, sound breeding programs should be used to reverse it.

Amiata donkey body conformation, udder characteristics, and their relationship with milk yield and quality

To date, no selective actions have been taken to improve milk traits in dairy donkeys, and the characteristics of the udder are not well defined in relation to the productive characteristics. This study aimed at increasing knowledge on Amiata dairy donkey body conformation, udder traits, and their relationship with milk yield and quality. Morphological, udder, and teat measurements and milk evaluations of 45 pluriparous jennies were carried out. The average wither height of the jennies was 126 cm and the chest girth was 148 cm; a large standard deviation of some body measurements was found. Forty-nine percent of the animals showed a moderately developed udder, while most of the jennies had symmetrical half-udders (96%) and the intermammary cleft was clearly visible in 53% of subjects. Correlation analysis indicated that bigger animals tend to have bigger udders, higher teat diameter, and greater distance between teat tips. A positive correlation between the teat length and the milk fat was found ( p < 0.01), which suggests that jennies with longer teats have a better ability to release milk fat. The results of this paper may be useful to define the characteristics of the milking device and address selective choices of the animals.

Evaluation of breeding practices and morphological characterization of donkeys in Blouberg Local Municipality, Limpopo province: Implication for the design of community-based breeding programme

Identification of livestock farmers' breeding practices and morphological characterization of livestock are the important first steps to the successful implementation of any breeding programme. Community-based breeding programme (CBBP) has gained attention as a promising method for the genetic improvement of livestock but lacks information on donkey breeding. The study was conducted to identify donkey farmers' breeding practices and donkey morphological characterization in three purposely selected villages (Thorne, Archibalt and Genau) located in Blouberg Local Municipality, Limpopo province of South Africa. Questionnaire survey method was used to collect the data from twenty-one donkey farmers while body weight and seventeen morphological traits were measured for the morphological characterization from seventy-four donkeys. Descriptive statistics and index values were computed to describe donkey breeding practices. Chi-square statistics were used to compare categorical variables among villages. General Linear Model procedure was used to compare morphological characteristics of donkeys among villages. The results revealed that there was no statistical different (P>0.05) observed on socio-economic characteristics of donkey farmers except on education level (P<0.05) among villages. Purpose of keeping donkeys, type of donkey breed kept, donkey coat colours, mating systems, reasons for culling, mating seasons and selection criterions were not significantly different (P>0.05) among villages. The most common trait preferences of donkey farmers among the surveyed villages were body size and growth rate in breeding males while in breeding females were body size, twining ability and mothering ability. The results indicated that in all the eighteen measured traits only four showed a significant difference (P<0.05) among the villages and some were significantly correlated with body weight (P<0.05). The results of this study will serves as basis for the development and implementation of CBBPs for donkey farmers at Blouberg Local Municipality of South Africa.

Prevalence and Factors Associated with Working Equid Lameness in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis

Lameness is an important concern in working equids of low- and middle-income communities (LMICs) with significant One Welfare implications. This study aims to determine the prevalence and influencing factors of lameness in working equids of LMICs. A systematic review and meta-analysis were performed to investigate pooled outcome prevalence using a random intercept regression model. Subgroup and sensitivity analysis were performed through meta-regression. A meta-analysis of study factors for lameness prevalence was performed. Sixty-four studies were included in the review. The pooled prevalence of lameness was 29.9% (n = 42, 95% CI 17-47%), while the pooled prevalence of gait abnormality was 62.9% (n = 12; 95% CI 31-87%). When considering both outcomes together, the pooled prevalence was 38.4% (n = 46; 95% CI 23-57%) with a significant (p = 0.02) difference between lameness (29.5%; 95% CI 16-48%) and gait abnormality (78.8%; 95% CI 40-95%). Species, country income level, gait assessed, and risk of bias did not significantly affect the pooled prevalence. Lower body condition scores, unresponsive attitudes, and old age were the most frequently reported factors positively associated with lameness-related outcomes. Working 7 days per week was positively associated with lameness. The standardization of outcome terminology, grading systems, and study factor categorization is recommended to enable more accurate interpretation and comparison between studies.

Welfare Concerns for Mounted Load Carrying by Working Donkeys in Pakistan

Working donkeys (Equus asinus) are vital to people's livelihoods. They are essential for carrying goods, however, globally, overloading is one of the primary welfare concerns for working donkeys. We studied mounted load carrying by donkeys and associated factors in Pakistan. A cross-sectional study of donkey owners (n = 332) was conducted, and interviews were undertaken based on a questionnaire. Owners estimated that the median weight of their donkeys was 110 kg [interquartile range (IQR) 100–120 kg], and that they carried a median mounted load of 81.5 kg (IQR 63–99 kg). We found that 87.4% of donkeys carried a load above 50% of their bodyweight ratio (BWR), the median BWR carried was 77.1% (IQR 54.5–90.7%), and 25.3% of donkeys carried above 90% BWR. Donkeys that were loaded at more than 50% BWR were more likely to adopt sternal recumbency compared to donkeys loaded with less weight (P = 0.01). Donkeys carrying construction material were more likely to carry more than the median BWR, when compared to domestic loads (P < 0.001). Younger donkeys aged between one and 5 years carried more than the median BWR compared to those aged over 15 years (P = 0.03). For the models with donkeys carrying median BWR and above 90% BWR, those working in peri-urban and urban areas were more likely to carry a greater BWR than donkeys working in rural areas (P < 0.001; P < 0.001, respectively). For donkeys carrying more than 90% BWR, mixed breed donkeys carried higher loads compared to other breeds of donkeys (P < 0.001). Overloading based on current recommendations (50% BWR) was common, with the majority (87.4%) of donkeys reported to carry more than the recommended 50% limit. This survey provides evidence of on-the-ground working practices and factors associated with mounted load carrying, which is critical for developing evidence-based recommendations for loading, in order to improve the welfare of working donkeys.