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Maize Yield Gap in Ethiopia (Map), 2004-2010

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Persistent identifier
doi:10.60507/FK2/ES2SDC
Published version
1.0
Publication date
2023-09-18
License
CC BY-SA 4.0

Description

The yield gap for maize 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. 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
metadata.xmltext/xml28058MD5 ad4ccf391241232e232c67d5cd5dc278
proj_BiomassWEB.pngimage/png8538MD5 e9c4a0d8be3dd540418d726da628a877
BIOW_agr_maize-yield-gap_ethiopia_2004-10_pol.zipapplication/zipped-shapefile483016MD5 cb39b6a450009f4bd98311f75fc3476b
maize_yield_map_2.pngimage/png528936MD5 f858327c098277a294d677dfd9fc4e08

Citation

Amit Kumar Srivastava, 2023-09-18, Maize Yield Gap in Ethiopia (Map), 2004-2010, doi:10.60507/FK2/ES2SDC, V1.0

Additional Dataverse fields

Id54
Dataset Typedataset
Internal Version Number8
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:27:56Z
Create Time2023-09-18T08:52:21Z
Citation Date2023-09-18
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
Maize Yield Gap in Ethiopia (Map), 2004-2010
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    c2bbd5ed-fd4c-4a3f-b0b1-113a5d4f3ddf
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 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. 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
    biomass
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  2. Topic Class Value
    yield (agricultural)
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    irrigation
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  4. Topic Class Value
    BiomassWeb
    Topic Class Vocab
    Research Project
Notes Text notesText
This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={c2bbd5ed-fd4c-4a3f-b0b1-113a5d4f3ddf}.<br/> The yield gaps plotted in the map were calculated as the average values of 7 years (the year 2004 -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 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://www.isric.org/data/soil-property-maps-africa-1-km). Maize yields (Mg ha-1) and fertilizer application (Nitrogen and Phosphorus) rates over seven years (2004 - 2010) at administrative zone level have been collected from the Central Statistical Agency, Ethiopia.
Language language
  1. English
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    2004-01-01
    Time Period Covered End
    2010-12-31
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2010-11-16T11:00:00
    Date Of Collection End
    2010-11-16T11:00:00

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Country
    Ethiopia
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    32.59522772638616
    East Longitude
    48.41554022418385
    North Latitude
    14.638381977311354
    South Latitude
    3.0215369954067945
Coordinate Reference System CoordinateReferenceSystem
Coordinate Reference System.code
EPSG:4326

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