On-farm storage loss estimates of maize in Kenya using community survey methods
Maize is the most important staple in sub-Saharan Africa (SSA), with highly seasonal production. High storage losses affect food security, but good estimations are lacking. A new method using focus group discussions (FGDs) was tested with 121 communities (1439 farmers, 52% women) in Kenya's six maiz...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
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| Acceso en línea: | https://hdl.handle.net/10568/138871 |
| _version_ | 1855536141300662272 |
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| author | De Groote, Hugo Muteti, Francisca Ndinda Bruce, Anani Y. |
| author_browse | Bruce, Anani Y. De Groote, Hugo Muteti, Francisca Ndinda |
| author_facet | De Groote, Hugo Muteti, Francisca Ndinda Bruce, Anani Y. |
| author_sort | De Groote, Hugo |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Maize is the most important staple in sub-Saharan Africa (SSA), with highly seasonal production. High storage losses affect food security, but good estimations are lacking. A new method using focus group discussions (FGDs) was tested with 121 communities (1439 farmers, 52% women) in Kenya's six maize-growing zones, to estimate the maize losses to storage pests and analyze farmer practices. As control strategies, half of the farmers used chemical pesticides (49%), while hermetic bags (16%) and botanicals (15%) were also popular. Relative loss from weevils in the long rains was estimated at 23%, in the short rains 18%, and annually 21%. Fewer farmers were affected by the larger grain borer (LGB) than by maize weevils: 42% in the long rainy season and 32% in the short rainy season; losses from LGB were also smaller: 19% in the long season, 17% in the short season, and 18% over the year. Total storage loss, from both species combined, was estimated at 36%, or 671,000 tonnes per year. The greatest losses occur in the humid areas, especially the moist mid-altitudes (56%), and with smaller loss in the drylands (20–23%). Extrapolating the point data and overlaying with the maize production map shows the geographic distribution of the losses, with the most important area found around Lake Victoria. FGDs provide convenient and cheap tools to estimate storage losses in representative communities, but a total loss estimate of 36% is higher than is found in other studies, so its accuracy and framing effects need to be assessed. We conclude that storage pests remain a major problem, especially in western Kenya, and that the use of environmentally friendly technologies such as hermetic storage and botanicals needs more attention, both by the public extension service and private agrodealers. |
| format | Journal Article |
| id | CGSpace138871 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1388712025-12-08T10:11:39Z On-farm storage loss estimates of maize in Kenya using community survey methods De Groote, Hugo Muteti, Francisca Ndinda Bruce, Anani Y. maize storage losses pests survey methods Maize is the most important staple in sub-Saharan Africa (SSA), with highly seasonal production. High storage losses affect food security, but good estimations are lacking. A new method using focus group discussions (FGDs) was tested with 121 communities (1439 farmers, 52% women) in Kenya's six maize-growing zones, to estimate the maize losses to storage pests and analyze farmer practices. As control strategies, half of the farmers used chemical pesticides (49%), while hermetic bags (16%) and botanicals (15%) were also popular. Relative loss from weevils in the long rains was estimated at 23%, in the short rains 18%, and annually 21%. Fewer farmers were affected by the larger grain borer (LGB) than by maize weevils: 42% in the long rainy season and 32% in the short rainy season; losses from LGB were also smaller: 19% in the long season, 17% in the short season, and 18% over the year. Total storage loss, from both species combined, was estimated at 36%, or 671,000 tonnes per year. The greatest losses occur in the humid areas, especially the moist mid-altitudes (56%), and with smaller loss in the drylands (20–23%). Extrapolating the point data and overlaying with the maize production map shows the geographic distribution of the losses, with the most important area found around Lake Victoria. FGDs provide convenient and cheap tools to estimate storage losses in representative communities, but a total loss estimate of 36% is higher than is found in other studies, so its accuracy and framing effects need to be assessed. We conclude that storage pests remain a major problem, especially in western Kenya, and that the use of environmentally friendly technologies such as hermetic storage and botanicals needs more attention, both by the public extension service and private agrodealers. 2023-05 2024-02-02T15:42:26Z 2024-02-02T15:42:26Z Journal Article https://hdl.handle.net/10568/138871 en Open Access application/pdf Elsevier De Groote, H., Muteti, F. N., & Bruce, A. Y. (2023). On-farm storage loss estimates of maize in Kenya using community survey methods. Journal of Stored Products Research, 102, 102107. https://doi.org/10.1016/j.jspr.2023.102107 |
| spellingShingle | maize storage losses pests survey methods De Groote, Hugo Muteti, Francisca Ndinda Bruce, Anani Y. On-farm storage loss estimates of maize in Kenya using community survey methods |
| title | On-farm storage loss estimates of maize in Kenya using community survey methods |
| title_full | On-farm storage loss estimates of maize in Kenya using community survey methods |
| title_fullStr | On-farm storage loss estimates of maize in Kenya using community survey methods |
| title_full_unstemmed | On-farm storage loss estimates of maize in Kenya using community survey methods |
| title_short | On-farm storage loss estimates of maize in Kenya using community survey methods |
| title_sort | on farm storage loss estimates of maize in kenya using community survey methods |
| topic | maize storage losses pests survey methods |
| url | https://hdl.handle.net/10568/138871 |
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