Average attainable yield of current cropland for wheat, cotton and sugarcane under irrigated conditions and high input level, with and without CO2 fertilization, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows: - climate data source CRUTS32 based on historical data for the time period 1981-2010; - climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time period 2041-2070. The Average attainable yield of current cropland dataset is part of the GAEZ v4 Suitability and Attainable Yield - Agro-Ecological Attainable Yield. For additional information, please refer to the GAEZ v4 Model Documentation.

Crop suitability index in classes, current cropland in grid cell for wheat, cotton and sugarcane under irrigated conditions and high input level, with and without CO2 fertilization, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows: - climate data source CRUTS32 based on historical data for the time period 1981-2010; - climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time period 2041-2070. The Crop suitability index in classes dataset is part of the GAEZ v4 Suitability and Attainable Yield - Suitability Class. For additional information, please refer to the GAEZ v4 Model Documentation.

The yield value is one of the key indicators of the Global Spatially-Disaggregated Crop Production Statistics Data for 2010, which includes harvest area, physical area and production, for 42 crops — disaggregated at the input-levels (e.g., irrigated/rainfed and high/low-input) on a 10 km grid globally. This new version of MapSPAM, available to download from the Harvard Dataverse Website, marks the third generation of the SPAM data series, following those of 2000 and 2005. Unit of measure: Yield for each crop and technology: kg/ha More information on the production systems and selected crops is available in the Global Spatially-Disaggregated Crop Production Statistics Data (MapSPAM) full metadata at https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/59f7a5ef-2be4-43ee-9600-a6a9e9ff562a

Output density (potential production divided by total grid cell area) for wheat, cotton and sugarcane under rain-fed conditions and high input level, with and without CO2 fertilization, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows: - climate data source CRUTS32 based on historical data for the time period 1981-2010; - climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time period 2041-2070. The Output density (potential production divided by total grid cell area) dataset is part of the GAEZ v4 Theme 4 Suitability and Attainable Yield, Agro-ecological Attainable Yield sub-theme. For additional information, please refer to the GAEZ v4 Model Documentation.

Crop suitability index in classes, all land in grid cell for wheat, cotton and sugarcane under rain-fed conditions and high input level, with and without CO2 fertilization, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows: - climate data source CRUTS32 based on historical data for the time period 1981-2010; - climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time period 2041-2070. The Crop suitability index in classes dataset is part of the GAEZ v4 Theme 4 Suitability and Attainable Yield, Suitability Class sub-theme. For additional information, please refer to the GAEZ v4 Model Documentation.

Yield for the year 2010 for wheat, cotton and sugarcane under rain-fed, irrigated and total water supply conditions. The Yield dataset, at about 5 km resolution, is part of the GAEZ v4 Actual Yields and Production - Area, Yield and Production sub-theme. For additional information, please refer to the GAEZ v4 Model Documentation.

The correlation coefficients between yield and other factors have been computed at the zone level for the period 1981-2050 and classified in 5 classes. These correlations allow identifying the causes of a negative or positive impact of climate on maize's yield. This data set has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.