Food Loss and Waste Reduction in Specific Fruit and Vegetable Value Chains in Eastern Africa
Abstract
1. Introduction
1.1. Importance of Food Loss and Waste
1.2. Scope of the Review
1.3. Document Search and Screening Strategy
2. Tomato (Solanum lycopersicum)
2.1. Causes of Post-Harvest Losses and Waste of Tomato in East Africa
| Country | Study Description | Percentage of Post-Harvest Losses of Tomato | Indicated Causes | Reference |
|---|---|---|---|---|
| Kenya | Survey of sixty-eight farmers and traders | Sorting and grading: 22% Packing: 10% Transportation: 20% Decay: 20% Total loss: 72% | Decay due to fusarium rot and bacterial soft. Pests including fruit worms, spider mites, thrips, white fly, birds | [14] |
| Uganda | Key informant interviews including sixty participants from four districts of Uganda (Sheema, Nakasongola, Kabale, Luwero) | At harvest: 6% Transportation: 17% Market: 16% | Packing in wooden boxes, poor road access, ambient conditions | [15] |
| Ethiopia | FAO load tracking and sampling method involving key informant interviews, observation and load tracking. The study areas were Chimba, Gumara and Kudmi in Northwest Ethiopia | Farm: 6 to 9% Transportation: 1 to 8% Wholesale: 3 to 4% Retail: 9 to 13% | Handling tomato at ambient conditions of high temperature (23 to 25 °C) and low relative humidity (30 to 54%) among others | [16] |
| Ethiopia | Commodity systems analysis method, which involved a survey including one-to-one interviews including ninety-nine tomato producers (of which thirty were females), seventy traders and one hundred and twenty-nine consumers | Field: 10% per ha Total: 21% per ha | Market delays Climate fluctuations | [17] |
| Rwanda | Commodity systems analysis method including 10 farms and 10 markets in which 32 people (agronomists, farmers, wholesalers, retailers) were interviewed | Farm: 21% Collection points: 12% Whole sale markets: 10% Retail markets: 14% Total: 56% | Six causes were high lighted including: 1. Poor market integration leading to over-reliance on middlemen and agents 2. High cost of manufacturing and competition from cheaper products from neighboring countries: Kenya, Uganda and Italy. 3. Poor harvest practices including harvesting over-mature fruits, rough handling, overfilling harvest containers and multiple handling 4. Poor quality containers 5. Rough and long transportation with delays of 3–4 days before pick-ups and 3–9 h long drives 6. Lack of temperature control | [18] |
2.1.1. Pre-Harvest
2.1.2. At-Harvest
2.1.3. Post-Harvest
2.1.4. Market: Wholesale and Retail
2.1.5. Consumer Level
2.2. Solutions of Post-Harvest Losses and Waste of Tomato in East Africa
2.2.1. Pre-Harvest
2.2.2. At-Harvest Solutions
2.2.3. Post-Harvest Handling
2.2.4. Agro-Entrepreneurship
3. Mangoes (Magnifera indica L.)
3.1. Causes of Post-Harvest Losses and Waste of Mangoes in East Africa
3.1.1. Pre-Harvest
| Country | Study Description | Percentage of Post-Harvest Losses of Mangoes | Indicated Causes | Reference |
|---|---|---|---|---|
| Ethiopia | Assessment of mango post-harvest losses along value chain in the Gamo Zone, Southern Ethiopia | Disease and pests:7% Harvesting: 18% Collection: 9% Transportation: 7% | Daily laborers harvest both mature and immature mango via mixing. Traditional ways of harvesting mechanisms like shaking of the mango tree, picking with a stick and cutting the fruit branch. Use of traditional ways of transport. | [45] |
| Ethiopia | The study was conducted in four mango-producing districts selected from two geographic regions, viz, Eastern and Western Ethiopia. Accordingly, four districts that encompassed 13 villages were purposively selected. A total of 113 mango grower households that represented 15% of the identified potential mango growers of each district were randomly selected | Pest and diseases: 66% Poor transportation:5% Limited knowledge and skills: 50.4% | Most growers harvest fully ripe fruits. Poor harvest and handling practices could result in various blemishes on the fruit skin. Use of traditional ways of transport. | [46] |
| Tanzania | Evaluation of post-harvest losses and shelf life of fresh mango (Mangifera indica L.) in the eastern zone of Tanzania. Fruits were harvested from Lunyala village in Mwalusembe ward (7.1435° S, 39.0542° E and 58.30 m above sea level) in Mkuranga district, coast region in eastern Tanzania. Apple and Palmer, the commonly grown cultivars in the study area, were used. | Loss at harvest stage: 3% (Apple) and 3% (Palmer) Loss at transport stage: 9% (Apple) and 9% (Palmer), Wholesale stage: 8% (Apple) and 8% (Palmer) Retail stage: 25% (Apple) and 23.01% (Palmer). | Crashing, bruising, infestation by insects such as fruit flies, over-ripening, post-harvest diseases and scratching by farm tools. | [47] |
| Kenya | Assessment of potential and limitation of post-harvest value addition of mango fruits in eastern province: a case study in Embu and Mbeere districts. | Total loss: 45% after harvest | Limited handling skills, poor storage, pests and diseases, e.g., 49.4% of farmers determined maturity of mango fruits by hand feeling, while 41.6% determined by size of the fruit. | [48] |
3.1.2. At-Harvest
3.1.3. Inappropriate Post-Harvest Handling
3.1.4. Waste of Mango at Consumption and Value Addition
3.2. Solutions of Post-Harvest Losses and Waste of Mangoes in East Africa
3.2.1. Pre-Harvest
3.2.2. At Harvest
3.2.3. Post-Harvest Handling
3.2.4. Value Addition of Mangoes
4. Indigenous Leafy Green Vegetables (ILGs)
4.1. Causes of Post-Harvest Losses and Waste of ILGs in East Africa
4.1.1. Pre-Harvest
| Country | Study Description | Type of FLW | Indicated Causes | Reference |
|---|---|---|---|---|
| Kenya | Assessed the relative potential for formal or informal seed systems to meet the need for high-quality indigenous vegetable seed | Pre-harvest | Seed quality of available formal and informal seed varieties | [73] |
| Kenya | How value chain governance influences farmer participation in vegetable markets and food security | Pre- and post-harvest | Value chain governance | [77] |
| Kenya | Effects of commercializing African indigenous vegetables in Kenya | Post-harvest | Education, participation in producer groups, access to market information and irrigation water, as well as distance to the next city influence the decision to commercialize ILG production | [78] |
| Kenya | Understanding consumer acceptance of ILGs is important in enhancing their consumption | Post-harvest | Consumer acceptance of leafy African indigenous vegetables | [79] |
| Tanzania | Primary survey of growers in Tanzania | Pre-harvest | Nutritional perception and marketing | [80] |
| Kenya | Quantitative data analysis of African indigenous vegetable (ILG) farmers | Adaptive capacity of smallholder African indigenous vegetable farmers | [81] | |
| Tanzania | Descriptive statistics to measure awareness and perception of solar-dried vegetables | Post-harvest | Decisions to purchase solar-dried traditional African vegetables | [82] |
| Kenya | Evaluation of the major pests attacking leaf amaranth and African nightshades and their potential host ranges. | Post-harvest | Yield losses due to viral, bacterial, fungal diseases and arthropod | [83,84] |
| Kenya | Determined the effectiveness of evaporative cooling using zero energy brick cooler (ZEBC) and evaporative charcoal cooler (ECC), to preserve the post-harvest quality of leafy amaranth vegetables | Post-harvest | Preservation of post-harvest quality | [13] |
| Eastern Africa | A qualitative literature review of indigenous vegetable seed system | Pre-harvest | Seed systems of African vegetables | [85] |
| Sub-Saharan Africa | Improvement and development strategy for traditional African vegetables in sub-Saharan Africa | Pre-harvest | Breeding | [86] et al. (2016) |
| Kenya | Post-harvest losses attributed to inadequate conditions during transport, storage and marketing | Post-harvest | Post-harvest treatments and handling | [76,87] |
| Kenya | Role of indigenous vegetables in food and nutritional security | Pre- and Post-harvest | Food degradation, monotonous food supply and emergence of vitamin and mineral deficiencies (hidden hunger). | [88] |
| Uganda and Kenya | Narrative literature review approach on current trends in post-harvest management and processing | Post-harvest | Post-harvest handling and processing | [89] |
| Tanzania | The role of community-based nutritional outreach | Pre-harvest | Changing knowledge and perceptions of African indigenous vegetables | [90] |
| Kenya | Physiological status, storage temperature and duration affect phytonutrient levels and post-harvest life of the leafy vegetable. | Post-harvest | Development stage, storage temperature and storage duration affect phytonutrient content in cowpea | [72] |
4.1.2. At Harvest
4.1.3. Inappropriate Post-Harvest Handling
4.1.4. Market Factors: Wholesale and Retail
4.1.5. Consumption Level
4.1.6. Gender-Related Factors
4.2. Solutions of Post-Harvest Losses and Waste of ILGs in East Africa
4.2.1. Pre-Harvest
4.2.2. At Harvest and Post-Harvest Handling
4.2.3. Marketing
4.2.4. Value Addition
5. Conclusions
- (1)
- Several causes of FLW and the corresponding solutions are common across all three fruit and vegetable value chains reviewed in this paper.
- (2)
- More research is needed on the economic, social-cultural and policy solutions that contribute to reduction in FLW. These would comprise solutions that do not contribute to rebound effects (i.e., second-order market interactions, e.g., reduction in food prices) pushing FLW back up elsewhere in value chains nor weakening the incentives of the farmers to produce more food.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Value Chain | Rationale for Selection | Losses on Fresh Weight Basis Within Value Chains in Kenya |
|---|---|---|
| Tomato |
| 32% of tomato production volumes are lost along the value chain, representing approximately 309,000 tons of losses annually. |
| Mango |
| 35% of mangoes is lost along the supply chain, representing a total volume of 283, 000 tons annually. |
| Indigenous Leafy Green Vegetables |
| 34% of production volumes is lost along the supply chain, representing approximately 101,000 tons annually. |
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Owino, W.; Kahenya, P.; Wafula, E.; Otieno, G. Food Loss and Waste Reduction in Specific Fruit and Vegetable Value Chains in Eastern Africa. Foods 2025, 14, 3938. https://doi.org/10.3390/foods14223938
Owino W, Kahenya P, Wafula E, Otieno G. Food Loss and Waste Reduction in Specific Fruit and Vegetable Value Chains in Eastern Africa. Foods. 2025; 14(22):3938. https://doi.org/10.3390/foods14223938
Chicago/Turabian StyleOwino, Willis, Peter Kahenya, Elizabeth Wafula, and Geoffrey Otieno. 2025. "Food Loss and Waste Reduction in Specific Fruit and Vegetable Value Chains in Eastern Africa" Foods 14, no. 22: 3938. https://doi.org/10.3390/foods14223938
APA StyleOwino, W., Kahenya, P., Wafula, E., & Otieno, G. (2025). Food Loss and Waste Reduction in Specific Fruit and Vegetable Value Chains in Eastern Africa. Foods, 14(22), 3938. https://doi.org/10.3390/foods14223938

