10.60507/FK2/DVRKK5 Amit Kumar Srivastava Amit Kumar Srivastava Institute of Crop Science and Resource Conservation (INRES), University of Bonn bonndata 2023 Other BiomassWeb fertiliser phosphatic fertiliser biomass nitrogenous fertiliser Amit Kumar Srivastava Amit Kumar Srivastava Institute of Crop Science and Resource Conservation (INRES), University of Bonn 2023-09-18 2010-12-31/2010-12-31 1992-01-01/2010-12-31 b8e67e54-be17-477b-8a84-e0d373b21e56 10.60507/FK2/DVRKK5/CVZMFB 10.60507/FK2/DVRKK5/FOD1KM 10.60507/FK2/DVRKK5/DGAFEQ 10.60507/FK2/DVRKK5/CMVAAM 10.60507/FK2/DVRKK5/4XT9ND 35808 8538 43319 571769 3458086 text/xml image/png application/zipped-shapefile image/png image/png 1.0 Creative Commons Attribution-ShareAlike 4.0 International License. Agronomic Radiation Use Efficiency (RUE) for maize biomass in Ashanti region and Brong-Ahafo region in Ghana has been estimated under three different fertilizer application rates 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 Radiation 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={b8e67e54-be17-477b-8a84-e0d373b21e56}.<br/> The Agronomic Radiation use efficiency in maize biomass under three fertilizer application rates, plotted in the map was calculated as the average values of 19 years (the year 1992 -2010). The unit is kilogram per MegaJoule (kg/MJ). Agronomic Radiation Use Efficiency (RUE)= Maize biomass (in kg)/ Cumulative Global Radiation during crop growth period (in megajoules) The climate data at the national scale was made available from the Terrestrial Hydrology Research Group, Princeton University (http://hydrology.princeton.edu/data.php) at a resolution of 10 km x 10 km. The dataset was constructed by combining a suite of global observation-based datasets with the NCEP/NCAR reanalysis. 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). Ghana -3.318389209460352 0.636688914989096 4.8747645325092375 10.965441173717767