This study was designed to assess farmers grain storage containers in relation to buildup of storage pests in three selected districts of southwestern Ethiopia. One district was selected from each zone based on the production potential of selected grain crops such as maize, sorghum, wheat and faba bean. Then, 25 households were randomly selected from each district to collect stored grain samples used for the identification of storage insect pests, and grain samples were taken from different storage structures, including un-plastered and plastered gombisa, gumbi, and polypropylene sacks. The results showed that the dominant insect species in maize, sorghum and wheat grains were weevils ( Sitophilus spp.) followed by the Angoumois grain moth ( Sitotroga cerealella Olivier) and flour beetles ( Tribolium spp.), while the bean weevil ( Zabrotes spp.) was the only species recovered from stored faba beans. High numbers of insects were recorded from both plastered and un-plastered gombisa, gumbi and polypropylene sacks. In addition, the number of each insect pest in each storage method recorded per 100 g -1 grain increased as the duration of grain storage increased. The results of this study also demonstrated that most of the farmers in the study areas perceived insect pests and rodents as the main postharvest pests causing considerable losses of stored grains. The poor storage systems of farmers predispose the stored grains to insect and rodent attacks. Thus, there is a need to train farmers on storage hygiene and to develop and disseminate efficient grain storage facilities to reduce losses in grain stores. Moreover, further studies need an improved pest detection method, such as the use of bioacoustics tools, to manage pests associated with grain stores. Keywords: grain, insects, rodents, storage DOI : 10.7176/FSQM/93-04 Publication date: January 31 st 2020
Assessment of Grain Storage Structures and Containers in Relation to Build-Up of Insect and Rodent Pests in Southwestern Ethiopia
Published 2020 in Food Science and Quality Management
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2020
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Food Science and Quality Management
- Publication date
2020-01-01
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Agricultural and Food Sciences, Biology, Environmental Science
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Semantic Scholar
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