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Smallholder pig value chain approach for the control of African swine fever and other pig diseases: The case of Uganda

  1. Smallholder pig value chain approach for the control of African swine fever and other pig diseases: the case of Uganda Michel Dione and Emily Ouma Eastern Africa Regional Animal Health Networks Meeting September 7 – 11, 2015, Kampala, Uganda
  2. Why pig value chains in Uganda? • Dynamic and rapidly growing sector in Uganda. • In the past three decades pig population increased from 0.19 to 3.2 million pigs • Highest per capita consumption (3.4 kg/person/year) of pork in the region -10 times increase in the last 30 years, whereas beef is declining. • More than 1.1 million households raise pigs in rural and peri-urban settings. • Pigs contribute to livelihoods and income to meet emergency needs and school fees (“live bank”)
  3. Informal sector • A large informal sub-sector – Mostly backyard systems, managed by women and children – Low productivity (breeds, feeds & health constraints) – Uncoordinated trade & transport – Unsupervised slaughter slabs, with no meat inspection in local markets, road-side butchers, pork joints – Only 1 approved slaughterhouse in Kampala (Wambizzi) – Few investors in formal processor: Fresh Cuts, Sausage King
  4. Goal To improve livelihoods, incomes and assets of smallholder pig producers, particularly women, in a sustainable manner, through increased productivity, reduced risk, and improved market access Project sites: Central (Masaka and Mukono); North (Lira); West (Hoima); East (Kamuli)
  5. • Stakeholder Consultation • GIS Study on Targeting Smallholder Pig Value Chains in Uganda • Situational Analysis of the Pig Sector in Uganda • Participatory Outcome Mapping and Site Selection • Value chain toolkit development • Value Chain Assessment • Benchmarking surveys • Best-bets intervention selection • Testing and validation of best-bets • Scaling up and out of the interventions Methodology
  6. Qualitative data collection tools • Seasonal calendar (Focus Group Discussion and Key Informant Interview) • Institutional interactions tool (FGD) • Production systems tool (FGD) • Social capital – involvement in collective action and benefits (FGD, KII) • Activity clock – gender roles in production and marketing (FGD) • Decision-making tool –decision making and control of resources (FGD) • Livelihood analysis – income sources (FGD, KII) • Value chain mapping (FGD, KII) • Animal health and management (FGD, KII) • Breeding (FGD) • Feeding (FGD) • Food safety and nutrition (FGD)
  7. PRODUCERS (n=1400) INPUTS/SERVICES  Feed input stockists and millers (n=36 stockists and n=200 feed samples)  Vet drugs stockists (n=36)  Service providers: o Veterinarians/AHA/paravets (n=53) o Owners of village breeding boars (n=90) o Extension staff (public and private) OUTPUT  Traders of live pigs (including collectors and transporters) (n=86)  Slaughterhouses/abattoirs (n=1)  Processors (formal-Fresh Cuts/Quality Cuts)  Retailers (meat/processed products) – butcheries, supermarkets, pork-joints  Consumers – preferences for different pig/pork product attributes Benchmark surveys
  8. Uganda Smallholder Pig Value chain Map
  9. Input suppliers Interconnectedness of the VC nodes and implication for disease spread Processors Consumers Pig & pork traders Pig producers Transporters Complexity of the value chain
  10.  High disease burden – especially ASF, ecto and endo parasites  Low bargaining power (farmers operate individually)/pig weight estimation  Lack of capacity on low cost locally prepared feed rations Constraints along the pig value chain Production Collection/bulking Slaughter Processing Retail Consumption Inputs and services  Expensive, and of poor quality feeds (adulterated)  Weak implementation of quality assurance systems Key constraints  Lack of designated areas for centralised slaughtering/ no meat inspection  Poor waste management  Lack of prerequisites for pork storage (lack of cold chain)  Poor pork handling and hygiene practices  High transaction costs (especially transport),  Poor biosecurity measures resulting in disease spread  Poor handling of pigs during transportation – affects pork quality  Few formal processors despite high demand for pork/pork products  Low supply of quality pigs  Lack of awareness on pork zoonoses  Evidence for presence of pathogens causing zoonotic diseases
  11. Results from cross sectional surveys and laboratory investigations for diseases and zoonoses Pathogen Summary of results (Mean sero-prevalence Masaka, Mukono and Kamuli) (n=1300 samples) African swine fever No seropositive detetecd, but genotype IX virus was isolated in Kamuli Brucella suis very low sero prevalence and sero-positives were not confirmed Taenia solium up to 55% seroprevalence (higher in rural areas) Intestinal worms 50-71% strongyles ; > 6-20% Ascaris; > 5-18% lung worms; > 0-12% ; Trichuris; > 0-7% Strongyloides ransomi Coccidiosis 24-50% (Microscopy) Trypanosoma spp 2/696 (Microscopy) Trichinella 7% seroprevalence Toxoplasma 28% seroprevalence Swine erysipelas 70% seroprevalence, in pigs from farm sampling
  12. African swine fever • Major pig disease constraint • Endemic in Uganda • High mortality (up to 100%) • High occurrence of outbreaks during dry season 0 20 40 60 80 100 120 Kkingo Kyanamukaka Kitayunwa Namwendwa Bugulumbya Ntenjeru Kabonera Kyampisi Kimana-Kyabakuza Katwe-Butego Nyendo-Ssenyange MukonoTC Goma rural-rural rural-urban urban-urban Proportionoffarmers(%) slaughter die recover sale Fate of pigs affected by ASF according farmers (n=350)
  13. Perception of pig value chain actors on level of risk for ASF along the value chain Value chain nodes Average overall score of FGDs Rank Value chain actors (ranking) Input supply and services 4.9 5 Boar service (1); Para-vetenarians and Village vetenarians (2); Feed suppliers (3); Drug stockists (4); Private and Government veterinarians (5) Pig Production 5.2 4 Piglet producers (1); Growers (2) Pig trading 6.8 1 Live pig collectors (1); Brokers (2); Transporters (3) Slaughtering 5.5 2 Backyard slaughters (1.); Slaughter slabs (2); Wambizzi abattoir (3) Retailing 5.4 3 Butchers (1); Supermarkets (2) Consumption 3.7 6 Individual households (1); Pork joints (1); Restaurants (2) Ranking of the role of value chain actors on the dissemination of ASF
  14. Value chain actor’s practices associated with the dissemination of ASF Don’t use Movement Permit Trade of sick pigs Purchase of pigs from outbreaks areas Mixing of sick and healthy pigs Poor cleaning and disinfection of trucks/vehicles/clothing/shoes/boots Lack of capacity to identify sick pigs Poor knowledge of farmers about biosecurity Slaughter of sick pigs Sale meat from sick pigs Absence of inspection Lack of reporting of outbreaks Poor disposal of offal Poor self-hygiene during meat processing Presence of stray dogs Poor reporting of outbreaks Poor disinfection material Use of expired drugs Poor quality vet services Poor quality of feedsFree range No restricted access at farm Trade of sick pigs Mixing of sick with healthy pigs Farm tools sharing Poor hygiene at farm Lack of capacity to identify sick pigs Use of communal village boar Poor food waste disposal Poor knowledge of ASF Dogs and cats
  15. Selection of best bet interventions • Impact pathway workshop • Best bet identification workshop • Feed-back workshops to farmers • Ex-ante assessment of interventions
  16. Issues Interventions Limited knowledge on biosecurity measures Education package for different actors including : biosecurity knowledge and pig disease information Lack of knowledge on husbandry Training on good husbandry practices Poor drug management Sensitize actors on consequence of low quality drugs Identified best bet interventions related to animal health (1)
  17. Issues Interventions Free ranging • Promote housing model with 3- stages enclosure (Kraal) • Improved tethering model Weak disease surveillance systems • Rapid diagnostic tests (ASF/Cyst.) • Centrilised slaughter place • Community diseases syndromic surveillance (mobile phone) Poor hygiene and processing practices • Capacity building of pork butchers on best slaughtering and handling practices Identified best bet interventions related to animal health (2)
  18. Testing the effect of biosecurity protocols on pig farmer’s KAP using a Randomised Controlled Trial Intervention – Capacity building of 2500 value chain actors on application of biosecurity practices for control of ASF (Lira and Masaka districts) Indicators for monitoring – Evidence of changes in farmer Knowledge, Attitude and Practices – Evidence of change in pathogen burden (PRRS, PCV, etc… )
  19. Assessing the potential of training pork butchers on reduction exposure to zoonotic disease risks Intervention – Training of butchers on appropriate slaughtering and pork handling (Mukono Municipality) Indicators for monitoring – Evidence of changes in farmer Knowledge, Attitude and Practices – Evidence of change in pathogen burden (total bacterial count)
  20. Capacity building material for control and management of ASF and other pig diseases (1) Training manuals • African swine fever • Parasite control • Pig managing • Management of the village boar • Feeding • Business planning and financial management • Strengthening capacity of smallholder pig farmers to access markets (2) Fact sheets on biosecurity Fact sheets on biosecurity Producers Traders/Brokers/ Transporters Butchers Input suppliers ILRI Local Government MAIIF Farm Gain AFID ILRI US VWB • Training manual of pig slaughtering and pork handling • Fact sheets on biosecurity ILRI US VWB NALIRRI MAAIF Fact sheets on biosecurity ILRI US VWB
  21. On going related research • Knowledge Attitudes Practices, Capacities and Incentives (KAPCI) of smallholder Pig Value Chain actors for the adoption of biosecurity measures • Gender dimension in pig husbandry and biosecurity for the control of African swine fever and other pig diseases (Intra HH surveys and Gender Transformative Approach-gender roles and relations) • Socio-cultural factors that influence disease control in the smallholder pig value chain • Enhancing diseases diagnostic test using mobile
  22. • Public sector: MAAIF, NAADS, local governments of Kamuli, Masaka, Mukono, Hoima & Lira, KCCA • Research/education institutions: NARO / NaLIRRI, Makerere University (COVAB, CAES, CNS), SLU, Iowa State Univ. • NGOs: VEDCO, SNV, Veterinarians Without Borders • Private sector: BRAC, PPM, Agro-Empowerment Center, ADINA Farm; UPO, Union of Pig Coops of Greater Masaka, Wambizzi Coop., Greenfields Uganda Ltd., OrgaFarms (on IMOs), Partnerships
  23. The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI. better lives through livestock ilri.org Thank you!

Editor's Notes

  1. There MUST be a CGIAR logo or a CRP logo. You can copy and paste the logo you need from the final slide of this presentation. Then you can delete that final slide   To replace a photo above, copy and paste this link in your browser: http://www.flickr.com/photos/ilri/sets/72157632057087650/detail/   Find a photo you like and the right size, copy and paste it in the block above.
  2. Smallholder pig value chains in Uganda have been identified by L&F as a high potential target to translate research into major interventions that can stimulate pro-poor transformation and generate benefits at scale.
  3. Page title minimum of 30 points and maximum of two lines Main point 6 point smaller than slide title Bullet points 4 point less than main point Font type is Calibri It is advised in one slide maximum 6 bullets We recommend you use images on slides You can change partner logos on front page You have to duplicate this slide for more inside pages
  4. Indicate that the VCA and disease prevalence surveys were in collaboration with SFFF project
  5. ASF causes high mortality in pigs and there is no vaccination. Farmers, pig traders, butchers, feed stockists, Vets
  6. Need to also mention involvement of the youth in the VC – the more profits generated the more attractive it is to the youth Assessment of partners gender capacities
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