Understanding dried marine small fish losses in the regional supply chain of Tanzania

cg.contribution.worldfishauthorNgwenyama, P.en_US
cg.contribution.worldfishauthorLuvanga, S.A.en_US
cg.contribution.worldfishauthorMgawe, Y.en_US
cg.contribution.worldfishauthorAditya Parmar, A.en_US
cg.contributor.affiliationFood and Agriculture Organization of the United Nationsen_US
cg.contributor.affiliationWorldFishen_US
cg.contributor.affiliationTanzania Fisheries Research Instituteen_US
cg.contributor.funderForeign, Commonwealth & Development Office United Kingdomen_US
cg.contributor.programAcceleratorCGIAR Science Program on Better Diets and Nutritionen_US
cg.contributor.programAcceleratorCGIAR Science Program on Sustainable Animal and Aquatic Foodsen_US
cg.contributor.programAcceleratorCGIAR Science Program on Multifunctional Landscapesen_US
cg.contributor.programAcceleratorCGIAR Science Program on Climate Actionen_US
cg.contributor.programAcceleratorCGIAR Accelerator on Gender Equality and Inclusionen_US
cg.contributor.programAcceleratorCGIAR Accelerator on Digital Transformationen_US
cg.contributor.projectAABS - ASIA-AFRICA BLUETECH SUPERHIGHWAY PROJECT under the Climate and Ocean Adaptation and Sustainable Transition programme (COAST)en_US
cg.coverage.countryUnited Republic of Tanzaniaen_US
cg.coverage.regionEastern Africaen_US
cg.creator.idSiwema Amran Luvanga: 0000-0002-7397-0986en_US
cg.creator.idAditya Aditya Parmar: 0000-0002-2662-1900en_US
cg.description.themeMarket and Value Chainsen_US
cg.identifier.ISIindexedISI indexeden_US
cg.identifier.statusOpen accessen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.agrovocfood securityen_US
cg.subject.agrovocfishen_US
cg.subject.impactAreaClimate adaptation and mitigationen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.impactAreaPoverty reduction, livelihoods and jobsen_US
cg.subject.impactAreaGender equality, youth and social inclusionen_US
cg.subject.impactAreaEnvironmental health and biodiversityen_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.subject.sdgSDG 3 - Good health and well-beingen_US
cg.subject.sdgSDG 12 - Responsible consumption and productionen_US
cg.subject.sdgSDG 14 - Life below wateren_US
dc.creatorNgwenyama, P.en_US
dc.creatorLuvanga, S.A.en_US
dc.creatorMwijage, A.en_US
dc.creatorGabagambi, N.P.en_US
dc.creatorMgana, H.en_US
dc.creatorMwaka, I.en_US
dc.creatorKishe, M.en_US
dc.creatorMgawe, Y.en_US
dc.creatorWard, A.en_US
dc.creatorAditya Parmar, A.en_US
dc.date.accessioned2026-02-17T11:36:02Z
dc.date.available2026-02-17T11:36:02Z
dc.date.issued2026en_US
dc.description.abstractDespite 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.formatPDFen_US
dc.identifier.citationPatrick 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.doihttps://doi.org/10.1007/s44187-026-00866-4en_US
dc.identifier.issn2731-4286en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12348/6920
dc.languageenen_US
dc.publisherSpringer (part of Springer Nature)en_US
dc.rightsCC-BY-4.0en_US
dc.sourceDiscover Food;6,(2026)en_US
dc.subjectfish loss scaleen_US
dc.subjectsmall fish loss driversen_US
dc.subjectkey loss pointsen_US
dc.subjectfish loss reductionen_US
dc.subjectsustainable development goal 12.3en_US
dc.titleUnderstanding dried marine small fish losses in the regional supply chain of Tanzaniaen_US
dc.typeJournal Articleen_US

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