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

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Persistent identifier
doi:10.60507/FK2/NKBDYK
Published version
1.0
Publication date
2023-09-18
License
CC BY-SA 4.0

Description

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.

Creators

Keywords

maize, yield gap, farming

Files

Before downloading: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
proj_BiomassWEB.pngimage/png8538MD5 e9c4a0d8be3dd540418d726da628a877
BIOW_agr_maize_yield_gap_ghana_1992-2010.pngimage/png881384MD5 6e7effbe574fc18b7b8a5721f6f5d8ac
Ghana_Maize_Resource_Use_Efficiencies.zipapplication/zipped-shapefile43319MD5 3391d1bf53eb218cd0c9bb1576e07adf
metadata.xmltext/xml29308MD5 72ff965b0aba08cafa0cea796ffef359
BIOW_agr_maize_yield_gap_ghana_1992-2010_300dpi.pngimage/png5053905MD5 8b7baabdb8744c35b24eacb6b83ab474

Citation

Amit Kumar Srivastava, 2023-09-18, Maize Yield Gap in Ghana (Map), 1992-2010, doi:10.60507/FK2/NKBDYK, V1.0

Additional Dataverse fields

Id52
Dataset Typedataset
Internal Version Number9
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:27:41Z
Create Time2023-09-18T08:52:00Z
Citation Date2023-09-18
File Access RequestTrue

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Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title
Maize Yield Gap in Ghana (Map), 1992-2010
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    fd1320ff-cc6c-460d-bbea-a1d7222c9356
Author author
  1. Author Name
    Amit Kumar Srivastava
    Author Affiliation
    Institute of Crop Science and Resource Conservation (INRES), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Amit Kumar Srivastava
    Dataset Contact Affiliation
    Institute of Crop Science and Resource Conservation (INRES), University of Bonn
    Dataset Contact Email
    amit@uni-bonn.de
Ds Description dsDescription
  1. Ds Description Value
    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.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    farming
Free Keyword freeKeyword
  1. Free Keyword Value
    maize
  2. Free Keyword Value
    yield gap
  3. Free Keyword Value
    farming
Topic Classification topicClassification
  1. Topic Class Value
    BiomassWeb
    Topic Class Vocab
    Research Project
  2. Topic Class Value
    biomass
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    planting
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  4. Topic Class Value
    irrigation
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  5. Topic Class Value
    yield (agricultural)
    Topic Class Vocab
    GEMET - Concepts, version 2.4
Notes Text notesText
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.
Language language
  1. English
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    1992-01-01
    Time Period Covered End
    2010-12-31
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2010-11-16T13:45:00
    Date Of Collection End
    2010-11-16T13:45:00

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Country
    Ghana
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    -3.142607959484832
    East Longitude
    0.2851264150380293
    North Latitude
    11.439627749768874
    South Latitude
    5.09366010245771
Coordinate Reference System CoordinateReferenceSystem
Coordinate Reference System.code
EPSG:4326

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