Références: Soudan du Sud - Avoine - 2021
Les profils de pertes post-récolte (profils PHL) quantifient les pertes attendues – en pourcentage – pour chaque étape de la chaîne de valeur post-récolte. Ces données de pertes sont tirées de la littérature scientifique et ventilées par culture, type d'exploitation et type de climat (d'après la classification climatique de Köppen-Geiger). Ces profils fournissent des chiffres de pertes en pourcent pour les différentes cultures au long de la chaîne de valeur dans des conditions variables et sont mis à jour à mesure que de nouvelles recherches sont disponibles.
En savoir plus : comment APHLIS estime les pertes ›
Aidez-nous à améliorer APHLIS
Nous cherchons toujours à améliorer nos estimations de pertes post-récolte. Si vous connaissez des études intéressantes ou si vous avez des données de terrain que nous pourrions inclure dans notre algorithme, n'hésitez pas à nous envoyer un courriel à info@aphlis.net
La méthode APHLIS d'estimation des pertes
Hodges, R., Bernard, M., Rembold, F. (2014). APHLIS – Postharvest cereal losses in Sub-Saharan Africa, their estimation, assessment and reduction. European Commission, JRC Technical reports, 160 pp.
Pertes par étape de la chaîne de valeur
Moisson/séchage sur le champ
- Boxall RA (1998): Grains post-harvest loss assessment in Ethiopia. Final report NRI Report No 2377. Natural Resources Institute, Chatham, UK. pp 44.
- De Lima C.P.F. (1982): Strengthening the food conservation and crop storage section (Ministry of Agriculture and Co-operatives, Swaziland). (Ministry of Agriculture and Co-operatives, Swaziland). Field documents and final technical report. Project PFL/SWA/002. Rome, FAO.
Séchage ultérieur
Battage et égrenage
Vannage
Transport du champ
Stockage au ménage
Transport au marché
Stockage au marché
- Egyir I.S., Sarpong D.B., Obeng-Ofori D. (2011): M&E System for post harvest losses (Pilot Study) Policy Planning, Monitoring and Evaluation Directorate, Ministry of Food and Agriculture, Ghana. Final Report. Pp. 106
Pertes nutritionnelles
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FAO, (2010). Fats and fatty acids in human nutrition. Report of an expert consultation. FAO, Food and Nutrition Paper, 91.
FAO/WHO, (2007).
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Joint FAO/WHO scientific update on carbohydrates in human nutrition. European Journal of Clinical Nutrition, Supplement: 09 Nov 2007.
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Governments of Australia and New Zealand, (2019). Nutrient Reference Values for Australia and New Zealand.
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Institute of Medicine (IoM), (2005). Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, DC: The National Academies Press. 1358 pp. Institute of Medicine (IoM), (2011).
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Dietary Reference Intakes for Calcium and Vitamin D. Washington, DC: The National Academies Press. 1132 pp.
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Nutrition for Developing Countries, (2015). Appendix 1. Tables of energy requirements and recommended intakes of nutrients. Kind, F.S., Burgess, A., Quinn, V.J., Osei, A.K. (Eds). pp 322-326. 3rd edition. Oxford University Press.
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USAID (undated). STATcompiler: The DHS Program, Demographic and Health Surveys.
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UNESDA (United Nations Department of Economics and Social Affairs), (2017). World Population Prospects: The 2017 Revision.
Impact nutritionnel
Les calculs d'impact nutritionnel s'appuient sur les mêmes études que les pertes nutritionnelles ci-dessus.
Impact financier
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APHLIS, 2019. Données de pertes post-récolte (perte de poids sec (t)).
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FAO, 2019. Global Information and Early Warning System (GIEWS) Food Price Monitoring and Analysis (FPMA) Tool.
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Population data from World Bank Development Indicators databank, 2019.
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World Bank national accounts data, and OECD National Accounts data files. 2019. Agriculture, forestry, and fishing, value added (current US$). ID: NV.AGR.TOTL.CD.
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World Bank national accounts data, and OECD National Accounts data files. 2019. GDP (current US$). ID: NY.GDP.MKTP.CD.
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World Bank national accounts data, and OECD National Accounts data files, 2019, Households and NPISHs Final consumption expenditure. (current US$) NE.CON.PRVT.CD
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UNDESA Database on Household Size & Composition, 2018.
Données contextuelles
Voir comment APHLIS utilise des données contextuelles pour estimer les pertes.
Liste des études supplémentaires utilisées pour ces données.
Gand capucin (LGB, Prostephanus truncatus)
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Boxall, R.A., 2002. Damage and loss caused by the Larger Grain Borer Prostephanus truncatus. Integrated Pest Management Reviews, 7: 105-121.
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Dick, K., 1989. A review of insect infestation of maize in farm storage in Africa with special reference to the ecology and control of Prostephanus truncatus. Overseas Development Natural Resources Institute, Chatham, UK: Bulletin 18, pp. 42.
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Dunstan, W.R. & Magazini, I. 1980. Outbreaks and new records. Tanzania. The larger grain borer on stored products. FAO Plant Protection Bulletin. 29:80–81.
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Golob, P., 2002. Chemical, physical and cultural control of Prostephanus truncatus. Integrated Pest Management Reviews, 7: 245-277.
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Hodges, R.J., Dunstan, W.R., Magazini, I., Golob, P. 1983. An outbreak of Prostephanus truncatus (Horn) (Coleoptera: Bostrichidae) in East Nang’ayo, F.L.O., Hill, M.G., Chandi, E.A., Nzeve, N.V. and Obiero, J. The natural environment as a reservoir for the larger grain borer Prostephanus truncatus (Horn) (Coleoptera: Bostrichidae) in Kenya. African Crop Science Journal, 1(1): 39–47.
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Muatinte, B.M., Boukouvala, M., Garcia-Lara, S., Lopez-Castillo, L.M., 2019. The threat of the larger grain borer, Prostephanus truncatus (Coleoptera: Bostrichidae) and practical control options for the pest. CAB Reviews Perspectives in Agriculture Veterinary Science Nutrition and Natural Resources, 14(041): 1-25.
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Makundi, R.H., Swila, N.N., Misangu, R.N., Reuben, S.W.M., Mwatawala, M., Sikira, A., Kilonzo, B.S., Lyimo, H., et al. 2010. Dynamics of infestation and losses of stored maize due to the larger grain borer (Prostephanus truncatus Horn) and maize weevils (Sitophilus zeamais Motschulsky). Archives of Phytopathology and Plant Protection, 43(14):1346–1355. DOI: 10.1080/03235400802425804.
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Mlambo, S., Mvumi, B.M., Stathers, T., Mubayiwa, M. & Nyabako, T. 2017. Field efficacy of hermetic and other maize grain storage options under smallholder farmer management. Crop Protection, 98: 198–210. DOI: 10.1016/j.cropro.2017.04.001.
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Mlambo, S., Mvumi, B.M., Stathers, T., Mubayiwa, M. & Nyabako, T. 2018. Field efficacy and persistence of synthetic pesticidal dusts on stored maize grain under contrasting agro-climatic conditions. Journal of Stored Products Research, 76: 129-139. DOI: 10.1016/j.jspr.2018.01.009.
Données: version
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