This study analyzes the effect of agricultural training on the income of rural households in Miabi territory, Democratic Republic of Congo. From a sample of 385 households, a simple linear regression was used to assess the relationship between agricultural training and agricultural income. The result shows that the model is highly significant (p<0.0001) with a coefficient of determination (R2 = 0.235), indicating that training explains about 23.5% of the variation in farm income. However, the standard and non-standard regression coefficients (-329.335 and -0.484) and a p<0.0001 show a significant negative effect, meaning that trained operators are experiencing losses. This result contradicts the expected logic and suggests that agricultural training, when it is not accompanied by means of application (credit, inputs, post-training follow-up), can produce the opposite economic effects. The study recommends revising and adopting agricultural training in order to adopt the content of the training to local realities and the specific needs of farmers (technical monitoring, financial support, etc.).