10.60507/FK2/HURZBTAmit Kumar SrivastavaAmit KumarSrivastavaInstitute of Crop Science and Resource Conservation (INRES), University of Bonnbonndata2023OtherBiomassWebfertilisernitrogenous fertiliserphosphatic fertiliserAmit Kumar SrivastavaAmit KumarSrivastavaInstitute of Crop Science and Resource Conservation (INRES), University of Bonn2023-09-182010-12-15T11:00:00/2010-12-15T11:00:00e2f6050e-123e-4d95-9e2f-fd651f85d2db4678562396780539071389618538image/pngimage/pngapplication/zipped-shapefiletext/xmlimage/png1.0CC BY-SA 4.0Agronomic Fertilizer Use Efficiency (FUE) for maize stover biomass across the Ethiopia has been estimated using crop model LINTUL5 embedded into the modeling framework SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management. Purpose: To increase food production, identifying the regions with untapped production capacity is of prime importance and can be achieved by quantitative and spatially explicit estimates of Agronomic Fertilizer Use Efficiency, thus considering the spatial variation in environment and the production system.This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={e2f6050e-123e-4d95-9e2f-fd651f85d2db}.<br/> The Agronomic fertilizer use efficiency under three different fertilizer application rates in maize stover biomass plotted in the map was calculated as the average values of 7 years (the year 2004 -2010). The unit is kilogram per kilogram (kg/kg). Agronomic fertilizer Use Efficiency (FUE)= (Maize stover biomass under fertilized condition - Maize stover biomass under unfertilized condition) (in kg)/ Fertilizer application rate (in kg) The climate data at the national scale was made available from the National Aeronautics and Space Administration (NASA), Goddard Institute of Space Studies(https://data.giss.nasa.gov/impacts/agmipcf/agmerra/), AgMERRA.The dataset is stored at 0.25°×0.25° horizontal resolution (~25km). Soil parameter values were extracted from the soil property maps of Africa at 1 km x 1 km resolution (http://http://www.isric.org/projects/soil-property-maps-africa-1-km-resolution).48.4155402241838514.6383819773113543.021536995406794532.59522772638616