Analysis of pig trading networks and practices in Uganda
Abstract
East Africa is undergoing rapid expansion of pig rearing, driven by increasing pork consumption. Introduction and expansion of pig production systems in this biodiverse landscape may create new risks, including zoonotic pathogen transmission. Historically, biosecurity measures have primarily been focused at farm level, ignoring the important function pig traders fulfill between farmers and consumers. This study interviewed pig traders operating at Uganda’s only registered pork abattoir to describe their characteristics, business practices, biosecurity practices, and pig health management and reporting practices. All the traders were male, and nearly all (90.5%) relied on pig trading as their primary source of income. Most of the pigs brought for processing at the slaughterhouse were purchased from smallholder farms (87.3%). In addition, there was a significant difference in the high price paid per kilogram at farm gate by region (P = 0.005). High prices paid at farm gate were associated with holiday periods (P < 0.001), harvest season (P < 0.001), and drought (P < 0.001). Traders preferred buying live pigs from male farmers (88.9%) because they were considered the final decision makers and owned the pigs being sold. All pig traders were aware of clinical signs indicating a pig was sick. This study has provided baseline information on pig trader practices in Uganda. Improvements in local pork slaughterhouses and markets will benefit not only pig traders in accessing consistent customers but also individual pig farmers by increasing their market access. Finally, given their role as a link between farmers and consumers, traders would benefit from targeted inclusion in disease control and prevention strategies.
Keywords
Pig Uganda Trading Business practices Health reportingIntroduction
The domestic pig population in Uganda, currently estimated at 3.2 million, plays an essential economic and social role in a country, in which 70% of households derive some or all of their livelihoods directly from livestock (Uganda Bureau of Statistics 2008). Pig keeping has grown in popularity as a livelihood activity due to their high reproduction rates, rapid weight gain, potential to provide quick financial returns, and rising demand for pork. In the past 50 years, pork consumption has increased more than 20-fold, from an estimated annual per capita consumption of 0.14 kg in 1962 to 3.37 kg in 2013. Pork currently accounts for more than a third of the annual per capita meat consumption (Food and Agriculture Organization (FAO) 2011). Further, total pork consumption is projected to increase by 184% between 2000 and 2030 in Uganda due to human population growth (Food and Agriculture Organization 2011). The increase in pork consumption, while exceptionally rapid in Uganda, is not unique in the region. The Democratic Republic of Congo’s total consumption of pork is expected to increase by 100%, Tanzania by 32%, and Kenya by 25% between 2000 and 2030 (Food and Agriculture Organization 2011). Introduction and expansion of pig production systems in these biodiverse landscapes may create new risks, including pathogen transfer from pigs to humans (Ocaido et al. 2013; Wilson 2017; Food and Agriculture Organization (FAO) 2012; Atherstone et al. 2015; Hamill et al. 2013; Food and Agriculture Organization 2017). Of particular public health interest is the role of pigs in the zoonotic transmission of emerging pathogens to people (Atherstone et al. 2015; Vergara-Alert et al. 2017; Middleton and Westbury 2002; Ma et al. 2008; Kobinger et al. 2011; Conlan et al. 2012; McCormack and Allworth 2002; AbuBakar et al. 2004; Marsh et al. 2011). As pig traders form an important link between pig farms and pork customers, research informing their knowledge, attitudes, and practices is essential.
African swine fever (ASF) is considered the major infectious disease constraint to pig production in Africa (Penrith et al. 2013), and as such, research to date has focused on this infection. Penrith and Vosloo reported that outbreaks of ASF in new areas of Africa have almost all been associated with movement of domestic pigs and pig products (Penrith and Vosloo 2009). In Uganda, several studies to characterize practices associated with the occurrence and spread of ASF identified the collection of pigs and pig products from farms (Kabuuka et al. 2014), distribution of infected pork by traders (Dione et al. 2015), pig movements due to restocking and trade (Kalenzi Atuhaire et al. 2013; Nantima et al. 2015), free range movement of pigs on farms (Nantima et al. 2015) and trade of live pigs and pig products (Tejler and Teijler 2012) as risk factors. These studies focused on pig farmers and their perception of trading and pig movements. A limited number of studies have targeted pig traders, but again, these were restricted to knowledge and practices related to ASF transmission and control (Dione et al. 2016; Chenais et al. 2015; Muhangi et al. 2014). Despite the link between disease spread and pig movement, little is known about broader trading practices, motivations for buying, and patterns of purchases and sales of pigs in Uganda. Given pig traders’ important role in supplying pork for a rapidly expanding consumer base and linking farmers with consistent markets, a better understanding of their practices and motivations around purchasing, transportation, and pig health management is needed. This would assist in developing policies that specifically support traders and the important functions they serve while identifying suitable interventions to ensure a safe, reliable pork supply.
Therefore, the objectives of this study were to (1) describe pig trader characteristics, trading practices, biosecurity practices, pig health management, and reporting practices and (2) map source locations of pigs purchased to supply pork through the major abattoir in Uganda.
Materials and methods
Study area
Wambizzi Cooperative Society Limited is located in Nalukolongo, southwestern Kampala, Uganda’s capital city. Wambizzi was selected as it is the only registered pig abattoir in Uganda and has many pig traders supplying live pigs to meet the urban demand for pork. As a registered slaughterhouse, carcasses processed at Wambizzi are visually inspected by Kampala City Council Authority (KCAA) meat inspectors and stamped “fit for human consumption.” Pork processed at the abattoir is sold in the greater Kampala area to pubs, pork joints, hotels, butchers, supermarkets, and private organizations (non-governmental organizations, missions, and private individuals). The slaughterhouse has a capacity of 200 pigs/day, but the supply of pigs fluctuates substantially throughout the year (Roesel et al. 2016). According to slaughterhouse records, an average of 60,078 kg of pork was processed monthly from April 2014 to May 2015. Using the estimated annual per capita consumption of 3.37 kg of pork (Food and Agriculture Organization (FAO) 2011) and the 2014 Kampala population of 1.5 million (Uganda Bureau of Statistics 2016), Wambizzi produced roughly 14.3% of the pork consumed in Kampala during this time frame. Pig slaughtering also occurs in backyards and slaughter slabs to supply informal, roadside pork joints and butcheries.
Pig traders privately operating from Wambizzi use the abattoir facility to slaughter their pigs and have their pork inspected and stamped to meet requirements in the formal marketplace. Traders buy live pigs from farms/markets and aggregate them into groups for transport to the abattoir. During this interim period (farm gate to abattoir), pigs are under the ownership and care of traders. Once processed, traders sell the pork to their own customers in the sales building adjacent to the evisceration and inspection building. While membership with the abattoir is not required, traders pay a fee per pig (6000 UGX, i.e., 1.67 USD in 2017) to use the abattoir facilities (Roesel et al. 2016).
Selection of traders
Pig traders were interviewed between October 2015 and October 2016, during periods corresponding with national holidays when the sale and consumption of pork increases (Roesel et al. 2016; Ouma et al. 2015). There is no formal register of pig traders operating at Wambizzi. In preparation for this research, a member of the research team with prior experience working with pig traders informally questioned traders on site over several days to develop a more recent estimate of the number of traders operating from Wambizzi. Based on this, the total number of traders operating at Wambizzi was estimated at 60. Thus, we aimed to interview 60 traders over the course of the study. A variety of methods were used to recruit participants, including direct approach and active-snowballing. Traders arriving at the abattoir were approached by a local member of the research team and initially asked about their interest in learning about the study. If the trader expressed interest, information on the scope and purpose of the research was provided orally. Traders who indicated that they were willing to participate in the research study were asked to give written consent to be interviewed. If the trader was unable to give written consent due to physical impairment or illiteracy, their thumbprint was provided in place of signature. Additional traders were identified by asking participants who had completed the interview for the name and contact information of other pig traders operating from Wambizzi. Furthermore, we observed trader brands on pigs at slaughter (e.g., number or letter carved on the animal at the time of purchase) and asked participants who had completed the interview if they could identify the trader who supplied the pig. The enumerator then contacted these newly identified pig traders to invite their participation in the research study.
Data collection
A local enumerator with previous experience working with pig traders in Uganda was recruited and trained for data collection. A structured questionnaire was adapted from previous research conducted with pig traders by the International Livestock Research Institute (ILRI) in Uganda under the Smallholder Pig Value Chains Development Project (CGIAR Livestock and Fish Research Program 2015). The questionnaire captured information on pig trader characteristics, live pig buying practices, transportation practices, and pig health management. Traders also reported the sub-counties where they had purchased live pigs over the 12 months prior to the interview date. The questionnaire was developed in English and translated into the local language (Luganda). The questionnaire comprised primarily closed-ended questions to keep the interview to a maximum of 45 min. Open-ended questions regarding buying practices and clinical signs observed in pigs were included, with answers recorded exactly as the interviewee stated. The full questionnaire is included in the Supplementary Materials. The slaughter process started at 4 am each morning and preceded the selling of pork from 8 am to 10 am. The enumerator was on site by 6 am each morning to identify pig traders previously not interviewed. However, to ensure that the interview did not conflict with pig trader’s business, most interviews took place between 10 am and noon each day.
Data analysis
Data from the questionnaires was entered into Epi Info 7.1 (Centers for Disease Control, Atlanta, GA, USA). Following data cleaning, data was exported to SPSS 24.0 (IBM Corp., Armonk, NY, USA) for analysis. Standard descriptive analysis was performed for categorical and quantitative variables describing pig trader characteristics, live pig purchasing practices, transportation practices, and pig health management. Population pyramid style graphs were prepared to compare pork demand and pork farm gate prices by months. Source locations (reported to the sub-county level) were entered into Microsoft Excel and checked for spelling accuracy. The sub-counties were then joined to the centroid of each sub-county polygon in the 2014 Global Administrative Unit Layers for Uganda (Food and Agriculture Organization, Rome, Italy) using ArcGIS 10.2 (Environmental Systems Research Institute, Redlands, CA, USA). The number of pig traders operating in each sub-county was mapped using graduated symbols.
Two binary outcome variables of interest were explored further, namely high price paid at farm gate over the last year (1/0) and low price paid at farm gate over the last year (1/0). Reasons given for prices paid were recoded into binary variables (yes/no) and used as explanatory variables. Univariable binomial logistic regression analyses were conducted to evaluate the associations of the binary explanatory variables with both the outcome variables. Explanatory variables with a P value < 0.15 were included in two multivariate regression models for high or low price paid to evaluate associations after adjusting for other variables in the model.
In addition, non-parametric analyses were conducted for four quantitative variables (high price paid per kilogram, low price paid per kilogram, number of live pigs bought during high demand weeks, and number of live pigs bought during low demand weeks) to identify significant differences by operating region (Kruskal-Wallis test), number of districts (Mann-Whitney U test), and number of regions (Mann-Whitney U test) traders purchased live pigs from. Operating region was identified based on the location pig traders reported purchasing live pigs in. Because price and number of pigs purchased were not identified by individual districts and many pig traders operated in multiple regions, operating region was binned into three categories: central only, eastern only, and all other regions (including western, northern, and responses that covered multiple regions). Number of regions and number of districts a pig trader operated in were recoded into two responses: above median and below median. Independent variables with significant differences (P < 0.05) were subject to post-hoc pairwise comparisons to identify which specific responses(s) were significantly different from each other.
Results
A total of 63 interviews were conducted with pig traders operating from Wambizzi between October 2015 and October 2016. No traders declined participation in the study.
Pig trader characteristics
Characteristics of 63 pig traders interviewed at Wambizzi Cooperative Society slaughterhouse, Kampala, Uganda, 2015–2016
Number (n) | Percentage (%) | |
---|---|---|
Gender | ||
Male | 63 | 100 |
Age | ||
20–29 | 2 | 3.2 |
30–39 | 31 | 49.2 |
40–49 | 21 | 33.3 |
≥ 50 | 5 | 7.9 |
Missing | 4 | 6.3 |
Education | ||
School not attended | 1 | 1.6 |
Primary school not completed | 25 | 39.7 |
Primary school completed | 17 | 27.0 |
Secondary school completed | 14 | 22.2 |
University completed | 3 | 4.8 |
Missing | 3 | 4.8 |
Number of years working as pig trader | ||
0–9 | 20 | 31.7 |
10–19 | 28 | 44.4 |
20–29 | 9 | 14.3 |
≥ 30 | 3 | 4.8 |
Missing | 3 | 4.8 |
Reason/s for selling pigsa | ||
Primary income | 57 | 90.5 |
Secondary income | 5 | 7.9 |
Missing | 1 | 1.6 |
Position in business | ||
Owner | 54 | 85.7 |
Employee | 8 | 12.7 |
Business partner | 1 | 1.6 |
Type of business | ||
Fixed | 61 | 96.8 |
Mobile | 2 | 3.2 |
Reasons for business type | ||
Close to pork customers (demand) | 50 | 79.4 |
Close to pig farms (supply) | 9 | 14.3 |
No competition | 1 | 1.6 |
Missing | 3 | 4.8 |
Group/cooperative membership | ||
No | 40 | 63.5 |
Yes | 23 | 36.5 |
Other traders in business area | ||
Yes | 62 | 98.4 |
No | 1 | 1.6 |
Location of pork sales | ||
Wambizzi | 59 | 93.7 |
Other | 3 | 4.8 |
Missing | 1 | 1.6 |
Live pig purchasing practices
Buying and transportation practices of 63 pig traders interviewed at Wambizzi Cooperative Society slaughterhouse, Kampala, Uganda, 2015–2016
Number (n) | Percentage (%) | |
---|---|---|
Buying practices | ||
Farm type | ||
Smallholder farm | 55 | 87.3 |
Own farm | 3 | 4.8 |
Othera | 2 | 3.2 |
Missing | 3 | 4.8 |
Whom do you prefer buying pigs from? | ||
Men | 56 | 88.9 |
Women | 7 | 11.1 |
Time of day to buy pigs | ||
Afternoon | 48 | 76.2 |
Morning | 10 | 15.9 |
Midday | 5 | 7.9 |
Transportation | ||
Vehicle type | ||
Lorry | 38 | 60.3 |
Truck | 25 | 39.7 |
Vehicle ownership | ||
Rented | 57 | 90.5 |
Own | 6 | 9.5 |
Frequency vehicle cleaned | ||
After each use | 60 | 95.2 |
Daily | 1 | 1.6 |
Missing | 2 | 3.2 |
Cleaning products usedb | ||
Water | 63 | 100 |
Omo (laundry washing powder) | 62 | 98.4 |
Method of animal waste disposal | ||
Heap at Wambizzi for farmers to collect | 34 | 54.0 |
Throw away | 17 | 27.0 |
Burn | 4 | 6.3 |
Bury | 1 | 1.6 |
Missing | 1 | 1.6 |
Lorries (trucks) were the most common type of vehicle used to transport pigs to the abattoir (60.3%; 38/63). The majority of traders rented the vehicles they used to transport pigs (90.5%; 57/63). Vehicles were cleaned after each use (95.2%; 60/63) using both water and laundry washing powder (98.4%; 62/63). None of the pig traders reported using bleach or any other type of disinfectant to clean their vehicles. The pig waste (feces, urine, bedding) left in the vehicle after transporting the pigs was most commonly heaped at Wambizzi for crop farmers to collect and use for compost in their gardens (54%; 34/63).
Live pig volume and pricing
Months identified as having high and low customer demands for pork, as reported by 63 pig traders interviewed at Wambizzi Cooperative Society slaughterhouse, Kampala, Uganda, 2015–2016. Counts indicate the number of traders that selected that month as being associated with high or low demand, respectively
Months associated with high and low farm gate prices by 63 pig traders interviewed at Wambizzi Cooperative Society, Kampala, Uganda, 2015–2016. Counts indicate the number of traders that selected that month as being associated with high or low price, respectively
Reasons for high/low price paid by 63 pig traders interviewed at Wambizzi Cooperative Society slaughterhouse, Kampala, Uganda, 2015–2016. Explanatory variables with P < 0.15 in the univariable analyses were included in the final multivariable logistic regression model
Explanatory variable: reason for paying price | Outcome variable: high price paid | Outcome variable: low price paid | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Frequency (%) | Unadjusted odds ratio (95% CI) | P value | Adjusted odds ratio (95% CI) | P value | Frequency (%) | Unadjusted odds ratio (95% CI) | P value | Adjusted odds ratio (95% CI) | P value | |
Holidays | 27 (30.3) | 4.59 (2.60–8.08) | < 0.001 | 8.70 (4.57–16.58) | < 0.001 | 4 (4.5) | a | a | ||
Crop/coffee harvesting season | 19 (21.3) | 2.29 (1.26–4.15) | 0.01 | 5.01 (2.55–9.84) | < 0.001 | 2 (2.2) | a | a | ||
Drought | 18 (20.2) | 2.09 (1.14–3.81) | 0.02 | 4.64 (2.35–9.18) | <0.001 | 23 (25.8) | 3.27 (1.84–5.81) | < 0.001 | 13.36 (6.27–28.44) | < 0.001 |
School fees due | 14 (15.7) | 1.39 (0.73–2.65) | 0.31 | N/A | N/A | 19 (21.3) | 2.29 (1.26–4.15) | < 0.001 | 10.03 (4.63–21.73) | < 0.001 |
Sick pigs | 8 (9.0) | 0.65 (0.30–1.41) | 0.27 | N/A | N/A | 34 (38.2) | 8.23 (4.65–14.55) | < 0.001 | 27.24 (12.94–57.32) | < 0.001 |
Neighbor’s pigs are sick | 2 (2.2) | a | a | 5 (5.6) | 0.37 (0.14–0.94) | 0.04 | b | b | ||
Too many traders | 1 (1.1) | a | a | 0 | N/A | N/A | N/A | N/A | ||
Too many pigs for sale | 0 | N/A | N/A | N/A | N/A | 2 (2.2) | a | a |
Source locations of live pigs on the day of interview and preceding 12 months, as reported by 63 pig traders interviewed at Wambizzi Cooperative Society slaughterhouse, Kampala, Uganda, 2015–2016
Farm gates prices paid by 63 pig traders interviewed at Wambizzi Cooperative Society slaughterhouse, Kampala, Uganda, 2015–2016. Non-parametric tests were used to test for significant differences by operating region, number of districts, and number of regions that a trader operates in
High price paid per kilogram | Low price paid per kilogram | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Number (n) | Lower quartile (UGX) | Median (UGX) | Upper quartile (UGX) | P value | Number (n) | Lower quartile (UGX) | Median (UGX) | Upper quartile (UGX) | P value | |
Operating region of pig tradera | 0.05a | 0.10a | ||||||||
Central | 23 | 6267.6 | 6000 | 6819.4 | b | 22 | 5102.4 | 5000 | 5788.5 | c |
Eastern | 17 | 6369.4 | 6500 | 6901.2 | b | 17 | 5264.9 | 5500 | 5793.9 | c |
All other regions | 23 | 6020.2 | 6000 | 6571.2 | b | 23 | 5031.9 | 5000 | 5333.3 | c |
Missing | 0 | 1 | ||||||||
Number of districts pig trader operates ind | ||||||||||
1–3 districts (< median) | 31 | 6464.5 | 6500 | 6929.1 | 0.002d | 30 | 5319.9 | 5500 | 5833.5 | 0.004d |
4–8 districts (> median) | 30 | 6055.4 | 6000 | 6444.6 | 30 | 5018.9 | 5000 | 5281.1 | ||
Missing | 2 | 3 | ||||||||
Number of regions pig trader operates ind | ||||||||||
1 region (< median) | 42 | 6448.5 | 6500 | 6851.5 | 0.001d | 41 | 5250.8 | 5000 | 5666.2 | 0.12d |
2–3 regions (> median) | 19 | 5943.6 | 6000 | 6245.9 | 19 | 5017.5 | 5000 | 5298.3 | ||
Missing | 2 | 3 |
Number of live pigs purchased per week by 63 pig traders interviewed at Wambizzi Cooperative Society slaughterhouse, Kampala, Uganda, 2015–2016. Non-parametric tests were used to test for significant differences by operating region, number of districts, and number of regions that a trader operates in
Number of live pigs bought during high demand weeks | Number of live pigs bought during low demand weeks | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Number (n) | Lower quartile | Median | Upper quartile | P value | Number (n) | Lower quartile | Median | Upper quartile | P value | |
Operating region of pig tradera | 0.19a | 0.01a | ||||||||
Central | 23 | 71.6 | 80 | 133.2 | b | 23 | 30.88 | 30 | 59.55 | c |
Eastern | 17 | 51.0 | 60 | 75.5 | b | 17 | 15.63 | 20 | 30.01 | c |
All other regions | 21 | 69.1 | 90 | 128.1 | b | 21 | 25.33 | 30 | 56.77 | c |
Missing | 2 | 2 | ||||||||
Number of districts pig trader operates ind | ||||||||||
1–3 districts (< median) | 31 | 57.6 | 60 | 90.2 | 0.07d | 31 | 18.91 | 20 | 30.63 | < 0.001d |
4–8 districts (> median) | 30 | 80.6 | 85 | 8.9 | 30 | 37.13 | 37.5 | 64.34 | ||
Missing | 2 | 2 | ||||||||
Number of regions pig trader operates ind | ||||||||||
1 region (< median) | 42 | 70.1 | 70 | 106.6 | 0.76d | 42 | 25.26 | 25 | 43.21 | 0.15d |
2–3 regions (> median) | 19 | 62.1 | 80 | 126.4 | 19 | 28.39 | 35 | 61.30 | ||
Missing | 2 | 2 |
Knowledge and practices towards pig disease and health reporting
All the pig traders reported recognizing clinical signs indicating a pig was sick. When asked to list these signs, the most commonly stated signs were dropping of ears (46%; 29/63), reddening of ears (44.4%; 28/63), straightening of the tail (31.7%; 20/63), and weakness or difficulty standing (31.7%; 20/63). Traders typically did not report pigs considered to be sick to anyone (92.1%; 58/63). If there was reporting, the trader informed a meat inspector on site at Wambizzi (80%; 4/5) or a veterinary officer (20%; 1/5). If sick pigs were observed while under the traders’ care, 77.8% of the traders did nothing to care for the sick pigs (49/63). If action was taken, the sick pig was slaughtered at Wambizzi and the meat sold (14.3%; 9/63).
Discussion
This is the first study to describe Ugandan pig trader characteristics and business practices around live pig buying, transportation, and health management. The prices paid to farmers for their pigs were associated with the number of regions and districts a pig trader operates in. In addition, pig traders reported paying higher prices during holiday periods and harvest season (crops/coffee). Traders preferred buying live pigs from male farmers because they considered them the final decision makers and owned the pigs being sold. Finally, we found that all pig traders checked for clinical signs in pigs that indicated the animal was sick.
Pig traders who operate in only one region paid, on average, higher prices per kilogram to farmers for their pigs. Considering that such traders are likely to travel shorter distances to source their pigs, compared to those traders that work in more regions, this may suggest that the distance travel to source pigs has an impact on the price paid for the pigs, with traders traveling less offering higher prices to farmers. However, another possibility may be that traders who operate in multiple regions are large-scale traders, buying pigs in bulk, and therefore paying lower prices. Nevertheless, given the importance of pigs as an asset within smallholder farming households, it is advantageous when pig farmers can secure more income from the sale of their pigs.
Given that almost half the traders in this study operated in four or more districts in Uganda, pigs are traveling large distances from farm to slaughterhouse. Reducing the distance pigs’ travel for processing is both an animal welfare and a disease mitigating practice, especially for limiting the dissemination of ASF (Tejler 2012). Thus, there is a need for locally regulated slaughter facilities and/or improved transport infrastructure throughout the country to reduce the distance traveled from farm to slaughterhouse. Centralized slaughter facilities would also help address the lack of consistent market access, a commonly cited constraint among pig farmers (Ouma et al. n.d.; Wabacha et al. 2004; Kagira et al. 2010; Muhanguzi et al. 2012a). Moreover, traders in this study reported that the primary reason for maintaining a fixed business operation was proximity to pork customers. Local slaughter facilities would provide a centralized location for traders to access customers.
This study also found that holiday periods, harvest season, and drought were the most commonly cited reasons trader paid high prices at farm gate. Other studies have noted that smallholder farmers keep pigs as a source of cash in times of need (Dione et al. 2014; Deka et al. 2007; Gichohi et al. 1988). When pig traders need to source live pigs around harvest season, they pay more for these pigs because farmers have recently sold their crops and, therefore, do not need the additional cash generated from the sale of a pig. The situation is a little different around the holidays. An increase in pig sales and pork consumption during festive seasons is well documented (Roesel et al. 2016; Dione et al. 2014; Adams et al. 2012; Kambashi et al. 2014). It is possible that traders have a harder time sourcing the number of pigs they need at the holiday period or that farmers know of the increased holiday demand and raise their prices. The higher prices paid for pigs around holidays are inducements for farmers to time their pig rearing activities to take advantage of the economic benefit of having pigs ready for sale according to holiday periods.
Free ranging, tethering, and feeding of crop residues and grasses to pigs are common practices among smallholder pig farmers in East Africa (Dione et al. 2015; Chenais et al. 2015; Tejler 2012; Kagira et al. 2010; Dione et al. 2014; Muhanguzi et al. 2012b; Nantima et al. 2016). In all these production systems, drought would reduce the amount and quality of feed available for pigs and, therefore, would reduce the number of pigs suitable for sale. It is also possible that farmers intentionally chose not to rear grower and fattener pigs during known seasons of drought. It will be important to address live pig supply issues, whether at holiday periods, drought, or from other causes, to ensure a consistent pork supply so that consumers are able to access the quality and quantity of pork they demand.
At the farm level, this research found that pig traders have a strong preference to buy live pigs from male pig farmers. A study in Kenya found that the decision to keep pigs was made by men (Simiyu and Foeken 2013). Because of the large financial investment, technical knowledge required to raise pigs and role as sole decision makers in their home, men maintained control of pigs and leveraged this control for any financial decisions made over the animals (Simiyu and Foeken 2013). These subtle cultural values around livestock ownership and household financial decision making come into play in accessing markets for livestock and livestock products. Women tend to face more challenges than men in accessing and benefiting from markets, especially more formal markets (Kristjanson et al. 2010). Furthermore, given women’s traditional responsibility for household food security, their level of control over decisions about whether to sell or consume the family’s animal products, as well as over how to use any income obtained from the sale of animal foods, could greatly determine the nutritional well-being of household members (Kristjanson et al. 2010). While there is clearly a need for support of women at the household level in accessing markets for their livestock, this research shows that there is also a need to work with pig traders to enable female pig farmers to access consistent markets for their pigs.
In this study, all the traders interviewed observed clinical signs they described as indicating a pig was sick. The frequently observed clinical signs such as reddening of the ears, dropping of ears, and weakness or affected movements are consistent with clinical signs of ASF (Chenais et al. 2015; Tejler 2012; Dione et al. 2014). Despite recognition of these signs as indicators of sickness, traders failed to report these suspected cases to the proper authorities. Similar findings have been reported in previous research in Uganda (Dione et al. 2015; Chenais et al. 2015; Muhangi et al. 2014; Nantima et al. 2016) and are consistent with studies conducted in Indonesia (Leslie et al. 2016). Given that traders play an essential role in transporting pigs, there is a need to develop policies and strategies to integrate pig traders into disease reporting and disease mitigating strategies without fear of recrimination or detriment to their business. In addition, given the pressures pig traders are under to meet quality standards of pork customers, pig traders would benefit from training on disease mitigating strategies including safe and hygienic slaughter practices, perhaps through an industry association or group. This would also address the gap between traders admitting that they are responsible for conducting their business in support of disease prevention but do not perceive themselves as key actors in the control of disease (Dione et al. 2016).
There are several limitations to this study. First, responses to the questionnaire are subject to recall bias. This is especially true of answers around the number and location of pigs purchased over the 12 months prior to the interview. However, the number of pigs for which traders provided a source location (n = 7185) was considerably less than the number of pigs processed at the slaughterhouse (n = 19,021 for July 2011–June 2012) (Roesel et al. 2016). It appears that when the pig traders were unsure of actual numbers, they underreported, or only reported the location they sourced the pigs without any accompanying number of pigs purchased. Self-reported locations are likely to be reliable as the traders used community-based scouts to identify pigs for sale.
We purposely interviewed pig traders during periods when demand for pork was historically high and theorized that this would mean that more pig traders would be bringing pigs in for processing. However, it is possible that there are pig traders that only operate sporadically and would have been missed in this study. We worked with the pig traders at Wambizzi to identify other pig traders to interview. We also cataloged the brands on each pig being processed, as each trader has a unique symbol to identify their pigs once they have been processed. Every effort was made to identify all potential research participants. Previous research, undertaken with the management at Wambizzi, stated that there were 20 pig traders regularly operating from the premises (Roesel et al. 2016). Given this, our study team managed to identify three times the number of pig traders.
Further analysis beyond descriptive analyses was hindered by the low number of responses for certain variables. For example, we were unable to analyze why pig traders prefer buying live pigs from men rather than women. Given the priority of gender empowerment in Uganda and the significance of livestock in alleviating poverty for women and children, it is important to identify ways to support women in accessing markets for their pigs. More detailed interviews and focus groups may shed additional light on trader buying decisions.
This study has provided baseline information on pig trader practices in Uganda. The prices paid at farm gate for pigs are affected by the number of regions and districts a trader operates in to procure pigs. Given the animal welfare and disease transmission implications of pigs traveling over multiple districts and regions from farm to slaughterhouse, consideration should be given to establishment of local pork slaughterhouses and markets and improvements to transport infrastructure. Furthermore, pig traders prefer buying live pigs from male farmers. For women to overcome the challenges of accessing formal livestock markets, there is a need for additional research to identify how women can access pork markets in Uganda, particularly if pig traders are involved. Finally, this research shows that pig traders are observing sick pigs but fail to report these sick pigs. Historically, disease control interventions have been focused on farm level biosecurity. Given their role as a link between farmers and consumers, traders would benefit from targeted inclusion in disease control and prevention strategies.
Notes
Acknowledgements
The authors would like to thank the management of Wambizzi Cooperative Society who facilitated this research and the pig traders operating at Wambizzi for their involvement in this study. This research benefited from the technical input and tools developed by ILRI Uganda colleagues Ben Lukuyu, Emily Ouma, Michel Dione, and Kristina Roesel.
Funding
Funding for this study was provided by the CGIAR Research Program on Agriculture for Nutrition and Health, led by the International Food Policy Research Institute.
Compliance with ethical standards
Human and animal ethics approval for this research was obtained from the International Livestock Research Institute, Nairobi, Kenya (ILRI-IREC2015–01), the Ugandan National Council for Science & Technology (A499) and Makerere University College of Veterinary Medicine, Animal Resources and Biosecurity, Kampala, Uganda (SBLS.CA.2016). The Animal Ethics Committee at The University of Sydney, Australia, was also notified of external ethics approval (2015/891).
Statement of animal rights
This human study has been approved by the appropriate ethics committees and has therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.
Conflict of interest
The authors declare that there is no conflict of interest.
Supplementary material
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