Determinants of Access to Trainings on Post -Harvest Loss Management among Maize farmers in Uganda: A Binary Logistic regression approach

Simple item page
dc.contributor.authorMidamba, Dick Chune
dc.contributor.authorKizito, Ogei
dc.date.accessioned2023-07-17T15:38:45Z
dc.date.available2023-07-17T15:38:45Z
dc.date.issued2022
dc.description.abstractPost-harvest losses (PHL) reported in maize production put Sub-Saharan African countries at higher risks of food insecurity. Recent studies reported that higher percentage of PHLs occur during the production stage when farmers are in full control of the crop, suggesting that farmers are not equipped with PHL management skills. This study therefore aimed at assessing the determinants of access to trainings on PHL management among maize farmers in Uganda. Primary data were drawn from 246 randomly sampled farmers in Alebtong District followed by Binary logit analysis. The results depicted that majority of the farmers (58%) did not have access to PHL management trainings. However, those who had access sourced it from extension workers (40.65%), farmers’ groups (22.76%) and farmer-to-farmer trainings (12.20%). The main barriers limiting access to the trainings were unawareness of the PHL trainings and inaccessibility of the training centers. Farm size, group membership, maize output and marital status had positive effect on farmers’ access to PHL management trainings while farm location, and distance to the training centers had a negative effect on access to PHL management trainings. Based on the findings, there is need for public sensitization on the benefits of the PHL trainings, farmers should also be motivated to join farmer-based groups and association where they would learn more about the PHL trainings. In addition, the government should open more training centers and employ more training agents so that many farmers can be reached and trained on how to handle and mitigate PHLs in maize.en_US
dc.identifier.citationMidamba, D. C., & Kizito, O. (2022). Determinants of access to trainings on post–harvest loss management among maize farmers in Uganda: a binary logistic regression approach. Cogent Economics & Finance, 10(1), 2148359.en_US
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/9070
dc.language.isoenen_US
dc.publisherCogent Economics & Financeen_US
dc.subjectBinary logiten_US
dc.subjectPost – harvest lossesen_US
dc.subjectTrainingen_US
dc.subjectMaizeen_US
dc.titleDeterminants of Access to Trainings on Post -Harvest Loss Management among Maize farmers in Uganda: A Binary Logistic regression approachen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Determinants of access to trainings on post harvest loss management among maize farmers in Uganda a binary logistic regression approach.pdf
Size:
2.64 MB
Format:
Adobe Portable Document Format
Description:
Determinants of access to trainings on post – harvest loss management among maize farmers in Uganda: a binary logistic regression approach
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Agricultural and Veterinary Sciences