Evidence map›Paper›PMID 42120881›Full record

ArticleScientific reports2026

Assessing post-harvest loss data reporting methods for tomato in least developed countries.

Francis Kloh Fukah, Aneth Japhet Magubika, Hilda Gerald Sanga, Festo Richard Silungwe, Eliakira Kisetu Nassary

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Francis Kloh FukahCollege of Agriculture, Department of Soil and Geological Sciences, Sokoine University of Agriculture, Chuo-Kikuu, P. O. Box 3008, Morogoro, Tanzania. ffukah@tubmanu.edu.lr.
Aneth Japhet MagubikaCollege of Agriculture, Department of Crop Science and Horticulture, Sokoine University of Agriculture, Chuo-Kikuu, P. O. Box 3005, Morogoro, Tanzania.
Hilda Gerald SangaCollege of Agriculture, Department of Soil and Geological Sciences, Sokoine University of Agriculture, Chuo-Kikuu, P. O. Box 3008, Morogoro, Tanzania.
Festo Richard SilungweSchool of Engineering and Technology, Department of Civil and Water Resources Engineering, Sokoine University of Agriculture, Chuo-Kikuu, P. O. Box 3003, Morogoro, Tanzania.
Eliakira Kisetu NassaryCollege of Agriculture, Department of Soil and Geological Sciences, Sokoine University of Agriculture, Chuo-Kikuu, P. O. Box 3008, Morogoro, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-harvest losses in tomato production affect food availability and income generation in Least Developed Countries (LDCs). This study examines tomato post-harvest loss data reported as a percentage of total domestic production, with two objectives: to evaluate reporting methods in the FAO Food Loss and Waste Database and to analyze reported loss magnitudes across supply chain phases. FAOSTAT data from 2000 to 2022 were used for nine LDCs: Tanzania, Bangladesh, Benin, Nepal, Cambodia, Rwanda, Ethiopia, Lao People's Democratic Republic, and Niger. Quantitative analysis applied univariate and multivariate approaches, including Analysis of Variance and Kruskal-Wallis tests, to assess variation across countries, years, and supply chain stages. Reported tomato post-harvest losses ranged from 20 to 50%, with marked differences across countries and phases. Tanzania recorded 50% loss at the retail stage in 2005, while Benin, Nepal, and Bangladesh reported losses of 39.5%, 35%, and 32.9%, respectively. Lower losses were observed in Cambodia (24.6%), Nepal (23%), Ethiopia (17%), Lao People's Democratic Republic (16.9%), Niger (15%), and Rwanda (14.7%). Loss estimates varied in magnitude and by supply chain stage, reflecting differences in reporting approaches and data sources. These results show that variation in reported tomato post-harvest losses is closely linked to reporting methods and stage definitions rather than production conditions alone. The study contributes by identifying limitations in cross-country comparability within FAOSTAT and clarifying how reporting heterogeneity affects interpretation of loss estimates. Strengthened reporting consistency and transparency would support more reliable analyses and evidence-based decisions for tomato post-harvest management in LDCs.

Indexed as

Food SupplySolanum lycopersicumDeveloping CountriesFood Loss and WasteFood Loss and WasteAgricultural sustainabilityLeast developed countriesLoss reduction strategiesPost-harvest lossSupply chain inefficienciesTomato production

Identifiers

PMID42120881
PMCPMC13357587

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