Post-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.

Savings play a significant role in any country’s economic development. Notably, because farmers tend to have seasonal income from their farming activities, they also tend to be highly vulnerable to poor saving habbit than other occupations, such as those in formal jobs. However, farmers who save part of their income for subsequent production can purchase farm inputs in time as they wait for the onset of rain. Reportedly, there has been poor saving behavior among farmers in sub-Saharan Africa. Therefore, this study aims to determine the factors responsible for farmers’ saving behavior. Descriptive and econometric (binary logistic model) analyses were employed to achieve the objectives of the study. The results indicate that the majority of farmers saved on a monthly and weekly basis. The results of the binary logistic regression model analysis showed that age, marital status, gender, experience, group membership, distance to the markets and markets, farm income, and farmers’ sub-counties of residence had a significant influence on farmers’ saving behavior. From the results, policy measures to increase the rate of savings include the employment of more extension personnel to reach as many farmers as possible. Government and extension agents should target female and less experienced farmers through adult-based education programs because they are vulnerable to poor saving behavior. Farmers should join farmer—based groups and cooperative societies, in which saving information is disseminated. The government, non-governmental organizations and financial institutions should offer financial literacy training on savings to smallholder farmers.