The study sought to identify the factors influencing rice producers' adoption of improved management practices and its impacts on their productivity in Niger State, Nigeria. The data came from a sample survey of the study area. A switching regression model comprising of probit model and production functions was adopted in data analysis. The probit model identified six key significant variables as those influencing adoption by the farmers. These are farm size, extension services, credit, farm income and the land tenure arrangement. The production function analyses indicate a structural shift in the production parameters of the adopters and significant productivity differentials between the groups. Farmland redistribution, farm income improvement, effective extension delivery services, adequate supply of improved seeds and credit delivery system were recommended.