Maize Yield Gap in Ghana (Map), 1992-2010 (doi:10.60507/FK2/NKBDYK)

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Maize Yield Gap in Ghana (Map), 1992-2010

doi:10.60507/FK2/NKBDYK

bonndata

2023-09-18

1

Amit Kumar Srivastava, 2023, "Maize Yield Gap in Ghana (Map), 1992-2010", https://doi.org/10.60507/FK2/NKBDYK, bonndata, V1

Maize Yield Gap in Ghana (Map), 1992-2010

doi:10.60507/FK2/NKBDYK

fd1320ff-cc6c-460d-bbea-a1d7222c9356

Amit Kumar Srivastava (Institute of Crop Science and Resource Conservation (INRES), University of Bonn)

bonndata

Amit Kumar Srivastava

https://doi.org/10.60507/FK2/NKBDYK

Other

BiomassWeb, biomass, planting, irrigation, yield (agricultural)

The yield gap for maize in two regions (Ashanti Region and Brong-Ahafo region) in Ghana 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. The yield gap of a crop grown in a certain location and cropping system is defined as the difference between the yield and biomass under optimum management and the average yield achieved by farmers. Yield under optimum management is labeled as potential yield (Yp) under irrigated conditions or water-limited potential yield (Yw) under rain-fed conditions.Yp is location specific because of the climate, and not dependent on soil properties assuming that the required water and nutrients are non-limiting and can be added through management. Thus, in areas without major soil constraints, Yp is the most relevant benchmark for irrigated systems. Whereas, for rain-fed crops, Yw, equivalent to water-limited potential yield, is the most relevant benchmark. Both Yp and Yw are calculated for optimum planting dates, planting density and region-specific crop variety which is critical in determining the feasible growth duration, particularly in tropical climatic conditions where two or even three crops are produced each year on the same field. 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 Yield gaps, thus considering the spatial variation in environment and the production system.

1992-01-01-2010-12-31

2010-11-16T13:45:00-2010-11-16T13:45:00

Ghana

• West Bounding Longitude: -3.142607959484832
• East Bounding Longitude: 0.2851264150380293
• South Bounding Latitude: 5.09366010245771
• North Bounding Latitude: 11.439627749768874

This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={fd1320ff-cc6c-460d-bbea-a1d7222c9356}.<br/> The yield gaps plotted in the map were calculated as the average values of 19 years (the year 1992 -2010). The unit is Megagram per hectare (Mg ha-1) which is equivalent to tons ha-1. 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://www.isric.org/data/soil-property-maps-africa-1-km). Maize yields (Mg ha-1) over 19 years(1992 - 2010) at the district level have been collected from the PPMED (Agric. Statistics & Census Div.) Min. of Agric., Ghana.

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