Effective Utilization of Post Harvest Knowledge Judith Francis Senior Programme Coordinator S&T Strategies, CTA 26 April, 2010 Second West and Central Africa Agricultural Science Week & 9th General Assembly, Benin 1 Some philosophy All men by nature desire to know - Aristotle No Man’s knowledge can go beyond his experience – John Locke All our knowledge begins with the senses, proceeds then to understanding, and ends with reason. There is nothing higher than reason – Immanuel Kant 2 But what is knowledge? Experience Competence & Skills Attitude 3 From knowledge to innovation Innovation – creating value from knowledge (continuous process) Innovation system (static or dynamic) – numerous actors involved in the creation, diffusion and optimization of knowledge within a social, economic & cultural context Networking for innovation / innovative partnerships / innovation partnerships – foster / support / facilitate social, economic and technological inquiry, learning, linkages for innovation. Mobilize resources. 4 Knowledge is interconnected 5 Knowledge builds on knowledge under continuous construction 6 Learning to innovate – not only the young 7 ITU photo, 2009 What is postharvest knowledge? Knowledge Scientific, empirical, technological, indigenous, introspective, perspective, tacit, codified, etc etc? Know-how (ability), know-why, know-who etc. etc. Post harvest All treatments that occur from time of harvesting until the food stuff reaches the consumer Harvesting methods / tools / equipment Handling (preparation – sorting, trimming, cooling etc) Conveying/transportation (field to processing unit) Processing / preservation (tastes, smell, colour, texture) Packaging, distribution & sale Storage (under what conditions) 8 More than Harvesting Sorting, cleaning, packing 9 Transporting 10 Postharvest knowledge is the Knowledge of: The commodity / commodities (varieties /species & chemical, physical, biological/microbial composition etc) The nature and extent of the problem and at what stage of the chain Environmental conditions – weather (RH, temperature) Storage requirements, techniques & technologies Processing techniques / treatments & technologies Packaging requirements, materials, techniques, technologies Best practices – low tech / intermediate / high tech (costs) Engineering, food science, microbiology, pests, production factors, harvesting, transport/logistics, food regulations Markets & market requirements – domestic & export 11 Quality assurance / food safety systems Effective utilization of post harvest knowledge Why? for innovation in the agri-food system Food and nutrition security, adequate economic returns for all actors, socio-economic development 12 Knowing the context Livelihoods Economic drivers 13 Major Commodities - Niger Top 10 (produced) Top 10 (exports) Top 10 (imports) Millet Onions, dry (61,883T – 26.641m$) Rice milled (163,772 T) Cow peas (dry) Cattle Cigarettes Cow milk – fresh whole Goats Sugar refined Sorghum (975,223T – 99.28 m$) Sheep Palm oil Onions, dry (350,000T Rice milled (13,918 T) – 6.45 m$) Milk whole dried Groundnuts with shell Cigarettes Sorghum (34,107T 12.84 m$) Goat milk, whole fresh Sugar refined Flour of wheat Game meat Horses Food prep. Mangoes, mangosteen Veg Prod Fresh/ dried Wheat Tomatoes Palm oil Coffee extracts 14 Major Commodities - Senegal Top 10 (produced) Top 10 (exports) Top 10 (imports) Groundnuts Ground nut oil Rice broken (101.8T – 350m$) Millet Food prep Wheat Tomatoes Cotton lint Soybean oil Rice, paddy (193379MT – 39.5m$) Rice broken Milk whole dried Cow, milk Tobacco product Malt extract Onions, dry Tobacco (unman) Food prep Hen eggs, in shell Cigarettes Sugar refined Cassava Tomatoes Palm oil Mangoes Beans, green Tobacco (unmanu) Cotton lint Pastry Maize 15 Major Commodities – Ghana Top 10 (produced) Top 10 (export) Top 10 (import) Yams Cocoa beans Palm oil Cassava Sugar refined Rice broken Plantains Cocoa butter Wheat Cocoa beans Flour of roots & tubers Sugar refined Chillies and peppers, dry Palm oil Chicken meat Groundnuts, with shells Cocoa paste Tomato paste Taro (coco yam) Oil seeds, Vegetable oil Maize Bananas Skimmed milk – dry Chillies and peppers green Roots and tubers Rice milled Game meat Tomato paste Cattle 16 Major Commodities - Cameroon Top 10 (produced) Top 10 (exports) Top 10 (imports) Plantains Cocoa beans Wheat Cocoa beans Bananas Rice milled Cassava Cotton lint Food prep Nes Bananas Rubber nat dry Malt Cotton lint Coffee green Palm oil Tomatoes Cocoa paste Sugar refined Taro (cocoyam) Natural rubber Milk whole dried Game meat Bever. Dist. Alc Cattle Vegetables fresh Cocoa butter Wine Maize Pineapples Tobacco Products Ne 17 What is the problem? How serious is it? What commodities / countries? Post Harvest Losses Information System (cereals) http://www.phlosses.net/ Postharvest Technology- Research &Information Center http://postharvest.ucdavis.edu/ % at each stage of the chain? Field, packhouse, transport etc Is there need for better data / information on PHL & PHT? Yes. Who should collect it? How should it be stored? Who should have access? How should it be communicated and to whom? Policymakers, scientists, farmers, traders, processors? 18 Postharvest losses - Africa Estimated Post Harvest Losses (%) 2003 - 2009 Weighted average according to reported figures Regional total PHL for cereals [% of total annual production] 2006 2007 2008 2003 2004 2005 14.8 15.1 17.4 17 14.4 14.3 Regional PHL by cereal [% of total annual production] Cereal 2003 2004 2005 2006 2007 2008 Maize 22 16.4 16.2 17.7 17.8 22.4 Barley 9.9 8 9.7 9.7 9.7 Wheat 13.3 9 13.6 11.5 11 Sorghum 12.4 12 12.1 12.3 12.2 12.5 Millet 10.9 12.4 12.2 12.2 12.3 12.5 Rice 11.1 10.9 11 11 11.1 Teff 11.7 11.7 11.7 11.7 11.7 Fonio Rye Oats 14.5 14.3 14.5 14.5 - 2009 19 Postharvest losses CORAF/WECARD Country Rice (%) Benin Maize (%) Ghana 6 30 5 - 25 Cowpea (%) Igname (%) 30 10 30 12 20-60 7-17 10-50 Mali 10 -14 Niger Nigeria Millet (%) 8-9 Burkina Faso Cote d’Ivoire Sorghu m (%) 10 30 + 6 -70 Senegal 10 + 10 Togo 5 -10 DRC 25 5 -10 40 30 + 25-30 20 Rice – the case of Senegal Rice is a major staple (34% national cereal consumption) 400,000 involved in rice farming in the Valley Industrial & small-scale rice millers (65% of market) Village mill – recovery rate of 55 – 65% depending on the quality & variety of paddy. Quality damaged by severe dehydration during storage in the fields Hulling process is difficult Lack sorting machines to separate broken grains Fall (ISRA, 2004) 21 Fisheries – the case of Ghana Fish - most important protein source Females dominate fish processing and trade Intermediate technologies – Chorkor smoker that uses fuel wood; solar drying, fermentation Training programmes offered on use of improved ovens but technology has not been adopted Refrigeration is growing & so too mobile phones 22 Salifu et al (CSIR, 2009) Fisheries – the case of Ghana Trends in export volume (Salifu et al., CSIR, 2009) 23 Fisheries- the case of Ghana The FRISMOKER – developed by Food Research Institute - CSIR Ghana Not being used Salifu et al., CSIR, 2009 24 From information to knowledge Information is available everywhere Need to organize / systematize it (e.g RAILS - DONATA) Why - learning & decision making 25 From Information to knowledge 26 From information to knowledge Status of ICTs in Rural Areas – Source ITU 27 From information to knowledge 28 Creating new knowledge – through research Scientists or local producers – can we integrate scientific and indigenous knowledge? What are the benefits? Who gains/loses? Ownership? What are the priorities? Who decides & how? 29 South Africa postharvest R&D University of Ksazulu Natal – Tropical & sub-tropical crops; postharvest physiology University of Pretoria – Postharvest pathology Agricultural Research Council – Institutes for tropical & subtropical fruits, horticulture, and postharvest (CAS, cold studies) & biotechnology Fruit Technology Solutions – Postharvest technology CSIR (Agro-processing) – Materials science & preservation Citrus Research International – Physiology/ pathology/technology Perishable Products Export Control Board (PPECB) – cold chain University of Stellenbosch – Temperate crops, citrus, bush tea Opara, 2010 (Brussels Presentation) 30 South Africa postharvest innovation programme Industry innovation study – technology gaps in supply chain (2006) Department of S&T provided 3 year funding (20072010) Implementing agencies – ARC /Fresh Producers Exporters’ Forum (FPEF) Public-private partnerships Projects funded including research funding for the Postharvest innovation hub in Africa (University of Stellenbosch, ARS, PPECB, CSIR, Fruit Technology Solutions, Guss Ltd – fruit quality measurement & Vizier Ltd – automated fruit packing lines) 31 Opara, 2010 (Brussels Presentation) Building a critical mass – post harvest education & training Moroca & Mavoa, CTA 2009 32 Conclusion Postharvest knowledge spans a range of commodities, actors, activities, disciplines, technologies Multiple information sources need to be tapped & new knowledge generated - the extent of the problem is not fully known / understood Effective utilization requires several interventions at different scales for innovation Research, education, training, outreach and infrastructural development including policies, food standards & legislation There is no one fit all answer but action must be taken 33 Moving Forward – When, how & with what speed? The CTA S&T - knowledge http://knowledge.cta.int/ portal Upcoming dossier on post harvest technology - 34 Thank you/Merci/ Bedank 35