This dataset reports the findings of a field experiment conducted at Wulbareg, Ethiopia during the 2022 cropping seasonto evaluate the effect of Blended NPS fertilizer rates and Rhizobium inoculation on the yield and yield components of common bean varieties to identify an economically appropriate combination of the factors that give maximum yield. Factors studied were four common bean varieties (HD, SER119, SER125 and Rori), three levels of blended NPS fertilizer rates (0, 100, 200 kg/ha) and two levels of Rhizobium (with and without). Randomized Complete Block Design in factorial arrangement with three replications was used. The Phenological, growth, yield and yield components data were collected and analyzed with SAS version 9.0 GLM model.
This dataset has been developed in the framework of EU H2020 project (GA 862848) Linking East and West African farming systems experience into a BELT of sustainable intensification.