Understanding dried marine small fish losses in the regional supply chain of Tanzania
| cg.contribution.worldfishauthor | Ngwenyama, P. | en_US |
| cg.contribution.worldfishauthor | Luvanga, S.A. | en_US |
| cg.contribution.worldfishauthor | Mgawe, Y. | en_US |
| cg.contribution.worldfishauthor | Aditya Parmar, A. | en_US |
| cg.contributor.affiliation | Food and Agriculture Organization of the United Nations | en_US |
| cg.contributor.affiliation | WorldFish | en_US |
| cg.contributor.affiliation | Tanzania Fisheries Research Institute | en_US |
| cg.contributor.funder | Foreign, Commonwealth & Development Office United Kingdom | en_US |
| cg.contributor.programAccelerator | CGIAR Science Program on Better Diets and Nutrition | en_US |
| cg.contributor.programAccelerator | CGIAR Science Program on Sustainable Animal and Aquatic Foods | en_US |
| cg.contributor.programAccelerator | CGIAR Science Program on Multifunctional Landscapes | en_US |
| cg.contributor.programAccelerator | CGIAR Science Program on Climate Action | en_US |
| cg.contributor.programAccelerator | CGIAR Accelerator on Gender Equality and Inclusion | en_US |
| cg.contributor.programAccelerator | CGIAR Accelerator on Digital Transformation | en_US |
| cg.contributor.project | AABS - ASIA-AFRICA BLUETECH SUPERHIGHWAY PROJECT under the Climate and Ocean Adaptation and Sustainable Transition programme (COAST) | en_US |
| cg.coverage.country | United Republic of Tanzania | en_US |
| cg.coverage.region | Eastern Africa | en_US |
| cg.creator.id | Siwema Amran Luvanga: 0000-0002-7397-0986 | en_US |
| cg.creator.id | Aditya Aditya Parmar: 0000-0002-2662-1900 | en_US |
| cg.description.theme | Market and Value Chains | en_US |
| cg.identifier.ISIindexed | ISI indexed | en_US |
| cg.identifier.status | Open access | en_US |
| cg.reviewStatus | Peer Review | en_US |
| cg.subject.agrovoc | food security | en_US |
| cg.subject.agrovoc | fish | en_US |
| cg.subject.impactArea | Climate adaptation and mitigation | en_US |
| cg.subject.impactArea | Nutrition, health and food security | en_US |
| cg.subject.impactArea | Poverty reduction, livelihoods and jobs | en_US |
| cg.subject.impactArea | Gender equality, youth and social inclusion | en_US |
| cg.subject.impactArea | Environmental health and biodiversity | en_US |
| cg.subject.sdg | SDG 1 - No poverty | en_US |
| cg.subject.sdg | SDG 2 - Zero hunger | en_US |
| cg.subject.sdg | SDG 3 - Good health and well-being | en_US |
| cg.subject.sdg | SDG 12 - Responsible consumption and production | en_US |
| cg.subject.sdg | SDG 14 - Life below water | en_US |
| dc.creator | Ngwenyama, P. | en_US |
| dc.creator | Luvanga, S.A. | en_US |
| dc.creator | Mwijage, A. | en_US |
| dc.creator | Gabagambi, N.P. | en_US |
| dc.creator | Mgana, H. | en_US |
| dc.creator | Mwaka, I. | en_US |
| dc.creator | Kishe, M. | en_US |
| dc.creator | Mgawe, Y. | en_US |
| dc.creator | Ward, A. | en_US |
| dc.creator | Aditya Parmar, A. | en_US |
| dc.date.accessioned | 2026-02-17T11:36:02Z | |
| dc.date.available | 2026-02-17T11:36:02Z | |
| dc.date.issued | 2026 | en_US |
| dc.description.abstract | Despite previous research on small fish (Dagaa) postharvest losses, a comprehensive assessment of the entire regional supply chain remains limited. The study aimed to quantify Dagaa losses, identify their causes and propose mitigation strategies. Using FAO’s load tracking method, Informal Fish Loss Assessment Method (IFLAM) and Questionnaire Loss Assessment Method (QLAM), we monitored changes in product weight, quality and nutritional profile. Results highlight processing and transportation as the most critical loss points. Processing stage accounted for 19.5%, 10% and 0.18 USD kg− 1 quality, physical and monetary loss, respectively primarily due to animal predation, poor drying infrastructure, and over-boiling. Losses increase during the rainy season due to reliance on sun drying. Transportation losses were significant (6%, 8% and 0.89 USD kg− 1 quality, physical and financial loss, respectively) caused by overloading, compression and mishandling. Landing delays during bargaining contributed to 2% quality loss, while storage and packaging quality losses were 4% and 3%, respectively, due to poor storage conditions and overstuffing practices. At the marketing stage, quality and physical losses reached 4% and 5%, respectively, owing to inappropriate storage infrastructure and mishandling. Consumption stage recorded 0.1% physical loss. Protein content of dried fish significantly declined following storage and transportation (P < 0.05). The micronutrients levels remained stable post storage and transportation. Mafia Island Fisheries lose about 15 million USD annually. A multidimensional intervention approach is recommended to reduce post-harvest losses. The study offers insights to guide government policies on food security and postharvest management, while supporting industry efforts to enhance efficiency, profitability and sustainability. | en_US |
| dc.format | en_US | |
| dc.identifier.citation | Patrick Ngwenyama, Siwema Luvanga, Alistidia Mwijage, Nestory Gabagambi, Huruma Mgana, Innocent Mwaka, Mary Kishe, Yahya Mgawe, Ansen Ward, Aditya Aditya Parmar. (12/2/2026). Understanding dried marine small fish losses in the regional supply chain of Tanzania. Discover Food, 6 (1). | en_US |
| dc.identifier.doi | https://doi.org/10.1007/s44187-026-00866-4 | en_US |
| dc.identifier.issn | 2731-4286 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12348/6920 | |
| dc.language | en | en_US |
| dc.publisher | Springer (part of Springer Nature) | en_US |
| dc.rights | CC-BY-4.0 | en_US |
| dc.source | Discover Food;6,(2026) | en_US |
| dc.subject | fish loss scale | en_US |
| dc.subject | small fish loss drivers | en_US |
| dc.subject | key loss points | en_US |
| dc.subject | fish loss reduction | en_US |
| dc.subject | sustainable development goal 12.3 | en_US |
| dc.title | Understanding dried marine small fish losses in the regional supply chain of Tanzania | en_US |
| dc.type | Journal Article | en_US |
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