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Journal of Agricultural Extension
Article . 2017 . Peer-reviewed
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Journal of Agricultural Extension
Article . 2017
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Journal of Agricultural Extension
Article . 2017
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Journal of Agricultural Extension
Article . 2017
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Farmers’ Perceptions of Rice Postharvest Losses in Eastern Uganda

Authors: Godfrey Lusiba Ssebaggala; Paul Kibwika; Florence Birungi Kyazze; Gabriel Karubanga;

Farmers’ Perceptions of Rice Postharvest Losses in Eastern Uganda

Abstract

The cross-sectional survey involving 83 farmers in focus group discussions and 150 individual interviews examined smallholder farmers’ perceptions about postharvest losses (PHLs) in in rice in Eastern Uganda. Principal component analysis and logistic regression were used to establish the determinants of farmers’ perceived ability to reduce PHLs. Farmers perceive 66% of the losses occurred in the field-based activities of harvesting, heaping and threshing through spillage, while 34% occurred in the home-based activities of drying and storage. Quality deterioration was perceived to be highest at harvesting and drying stages. Farmers’ perceived themselves least able to to reduce PHLs at the stages where the losses were highest. These perceptions are significantly influenced farm size, awareness of the modes through which losses occur, proportions of rice sold and household characteristics. Interventions to reduce PHLs should intensify awareness and mindset change, commercialization of rice production, best-fit practices and technologies foe smallholder farmers and collective action for groups of farmers to undertake some operations together.Keywords: Smallholder farmer in Uganda, rice postharvest losses.

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Keywords

perceived magnitude of loss, Agriculture (General), perceived ability to reduce losses, Smallholder farmer, S1-972, Smallholder farmer in Uganda, rice postharvest losses., Uganda, rice postharvest losses

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
gold