Abstract
In developing countries, food losses occur primarily upstream of industrial food processing and sales and marketing, between the farm and commercial processors or distributors. These “post-harvest” losses are generally kept to a minimum in developed countries and the relatively high-tech agricultural systems of emerging economies. Nevertheless, they cover a wide range of extremely diverse situations linked to type of agriculture, climate, degree of sophistication and organisation of agri-food processing systems, and of course to the crops produced. This diversity makes quantifying losses and understanding their multiple causes difficult and a one-size-fits-all solution will therefore not do. The organisation of food systems in many developing countries is evolving rapidly under the influence, notably, of increasingly urban lifestyles based on western models: markets and small-scale retailers selling local products are losing ground to large retail chains on the outskirts of cities with increasingly diverse suppliers including at international level. Simultaneously, there is a growing trend in eating outside of the home in urban settings (snack bars, cafeterias and “maquis”—informal, makeshift eating establishments popular in Africa that also serve as a forum for exchange, a place for people to meet, etc.).
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Notes
- 1.
Within the framework of a study commissioned by the World Bank on the effectiveness of methods implemented to reduce post-harvest losses; Hodges R. (2010). Postharvest Losses (PHL) Reduction for Cereal Grain Staples in sub-Saharan Africa. Presentation at the conference Reducing Post-Harvest Losses in Grain Supply Chains in Africa, FAO/World Bank, 18–19 March 2010, Rome.
http://www.fao.org/ag/ags/publications/docs/misc/FAO_WB_ph_web.pdf.
- 2.
Gasga (ACIAR—Australia, Cirad—France, CRDI—Canada, FAO, GTZ—Germany, KIT—Netherlands, KSU—USA and NRI—UK) sought to improve the technical support provided to developing nations in the sales and marketing, storage, processing and transport of grains. See: Gasga workshop (24–25/02/1983), Slough (GRB), Eschborn (DEU), GTZ, 1984, 136 pages.
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Annex
Annex
Estimation of weight loss of stocks (in %) for different grain crops in different climates, adjusted to 9-month storage periods and the average consumer household [28].
Species/Climate | Scale of farming | Variety | Estimated loss |
---|---|---|---|
Ears of maize with Prostephanus truncatus infestation | |||
Aw | Small-scale | Local | 9.7 |
Bsh | Large-scale | Local | 2.7 |
Small-scale | Local | 13.3 | |
Cwa/Aw | Large-scale | Local | 2.1 |
Small-scale | Local | 10.0 | |
Ears of maize without Prostephanus truncatus infestation | |||
Aw | Small-scale | Local | 5.3 |
Bsh | Small-scale | Local | 4.3 |
Cwa | Small-scale | Local | 3.5 |
Small-scale | Hybrid | 9.5 | |
Maize kernels with Prostephanus truncatus infestation | |||
Aw | Small-scale | Local | 5.4 |
Bsh | Small-scale | Local | 3.3 |
Aw | Small-scale | Local | 5.4 |
Cwa | Small-scale | Local | 4.2 |
Sorghum seeds | |||
Bsh/Bwh | Small-scale | Local | 2.5 |
Cwa | Small-scale | Local | 3.9 |
Sorghum panicles | |||
Aw | Small-scale | Local | 2.8 |
Small-scale | Improved | 11.0 | |
Millet | |||
Bsh | Small-scale | Local | 1.1 |
Cwa | Small-scale | Local | 1.3 |
Wheat | |||
Bsh | Small-scale | Local | 3.1 |
Cwa | Small-scale | Local | 5.8 |
Barley | |||
Cwa/Cwb | Small-scale | Local | 0.8 |
Rice | |||
Aw | Small-scale | 1.2 | |
Bsh | Small-scale | 0.1 | |
Cwa | Small-scale | 0.4 | |
Teff | |||
Cwa | Small-scale | Local | 0.3 |
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Guillou, M., Matheron, G. (2014). Reducing Post-harvest Losses in Developing Nations. In: The World’s Challenge. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8569-3_4
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