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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid Claas Nendel;
    Claas Nendel
    ORCID
    Harvested from ORCID Public Data File

    Claas Nendel in OpenAIRE
    orcid Eckart Priesack;
    Eckart Priesack
    ORCID
    Harvested from ORCID Public Data File

    Eckart Priesack in OpenAIRE
    Enli Wang; Jon I. Lizaso; +34 Authors

    This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thunen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/−1 Mg ha−1 around the mean. The bias of the median of the 21 models was less than 1 Mg ha−1. However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Florid...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    European Journal of Agronomy
    Article
    License: CC BY NC ND
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Agritrop
    Article . 2017
    Data sources: Agritrop
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    European Journal of Agronomy
    Article . 2018 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    European Journal of Agronomy
    Article . 2018
    Data sources: VIRTA
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    HAL INRAE
    Article . 2018
    Data sources: HAL INRAE
    addClaim
    Access Routes
    Green
    hybrid
    80
    citations80
    popularityTop 1%
    influenceTop 10%
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Florid...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      European Journal of Agronomy
      Article
      License: CC BY NC ND
      Data sources: UnpayWall
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Agritrop
      Article . 2017
      Data sources: Agritrop
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      European Journal of Agronomy
      Article . 2018 . Peer-reviewed
      License: Elsevier TDM
      Data sources: Crossref
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      European Journal of Agronomy
      Article . 2018
      Data sources: VIRTA
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      HAL INRAE
      Article . 2018
      Data sources: HAL INRAE
      addClaim
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid Claas Nendel;
    Claas Nendel
    ORCID
    Harvested from ORCID Public Data File

    Claas Nendel in OpenAIRE
    orcid Eckart Priesack;
    Eckart Priesack
    ORCID
    Harvested from ORCID Public Data File

    Eckart Priesack in OpenAIRE
    Enli Wang; Jon I. Lizaso; +34 Authors

    This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thunen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/−1 Mg ha−1 around the mean. The bias of the median of the 21 models was less than 1 Mg ha−1. However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Florid...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    European Journal of Agronomy
    Article
    License: CC BY NC ND
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Agritrop
    Article . 2017
    Data sources: Agritrop
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    European Journal of Agronomy
    Article . 2018 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    European Journal of Agronomy
    Article . 2018
    Data sources: VIRTA
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    HAL INRAE
    Article . 2018
    Data sources: HAL INRAE
    addClaim
    Access Routes
    Green
    hybrid
    80
    citations80
    popularityTop 1%
    influenceTop 10%
    impulseTop 1%
    BIP!Powered by BIP!
    more_vert
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Florid...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      European Journal of Agronomy
      Article
      License: CC BY NC ND
      Data sources: UnpayWall
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Agritrop
      Article . 2017
      Data sources: Agritrop
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      European Journal of Agronomy
      Article . 2018 . Peer-reviewed
      License: Elsevier TDM
      Data sources: Crossref
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      European Journal of Agronomy
      Article . 2018
      Data sources: VIRTA
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      HAL INRAE
      Article . 2018
      Data sources: HAL INRAE
      addClaim
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ermias Engida Legesse; orcid Amit Kumar Srivastava;
    Amit Kumar Srivastava
    ORCID
    Harvested from ORCID Public Data File

    Amit Kumar Srivastava in OpenAIRE
    orcid Arnim Kuhn;
    Arnim Kuhn
    ORCID
    Harvested from ORCID Public Data File

    Arnim Kuhn in OpenAIRE
    orcid Thomas Gaiser;
    Thomas Gaiser
    ORCID
    Harvested from ORCID Public Data File

    Thomas Gaiser in OpenAIRE

    High population growth in Ethiopia is aggravating farmland scarcity, as the agrarian share of the population stays persistently high, and also creates increasing demand for food and non-food biomass. Based on this fact, this study investigates welfare implications of intensification measures like interventions that improve access and use efficiency to modern farming inputs. Using a dynamic meso-economic modeling framework for Ethiopia, ex-ante scenarios that simulate a) decreased costs of fertilizer use and b) elevated efficiency of fertilizer application for all crops are run for a period of 20 years. Fertilizer-yield response functions are estimated (based on results from an agronomic crop model and actual survey data) and embedded into the economic model in order to get realistic marginal returns to fertilizer application. This is our novel methodological contribution in which we introduce how to calculate input use inefficiency based on attainable yield levels from agronomic crop model and actual yield levels. Simultaneous implementation of these interventions lead to annual yield increases of 8.7 percent for an average crop farmer compared to the current level. Increased fertilizer application is also found to be profitable for an average farmer despite price reduction for crops following increased market supply. As a result of price and income effects of the interventions, all household types exhibit welfare gain. Non-farming households, being net consumers, enjoy lower costs of living. Rural farming households enjoy even higher welfare gain than non-farming households because they consume a higher share from crop commodities that become cheaper, and because their farming profits increase.

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    Authors: Ermias Engida Legesse; orcid Amit Kumar Srivastava;
    Amit Kumar Srivastava
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    Amit Kumar Srivastava in OpenAIRE
    orcid Arnim Kuhn;
    Arnim Kuhn
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    Arnim Kuhn in OpenAIRE
    orcid Thomas Gaiser;
    Thomas Gaiser
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    Thomas Gaiser in OpenAIRE

    High population growth in Ethiopia is aggravating farmland scarcity, as the agrarian share of the population stays persistently high, and also creates increasing demand for food and non-food biomass. Based on this fact, this study investigates welfare implications of intensification measures like interventions that improve access and use efficiency to modern farming inputs. Using a dynamic meso-economic modeling framework for Ethiopia, ex-ante scenarios that simulate a) decreased costs of fertilizer use and b) elevated efficiency of fertilizer application for all crops are run for a period of 20 years. Fertilizer-yield response functions are estimated (based on results from an agronomic crop model and actual survey data) and embedded into the economic model in order to get realistic marginal returns to fertilizer application. This is our novel methodological contribution in which we introduce how to calculate input use inefficiency based on attainable yield levels from agronomic crop model and actual yield levels. Simultaneous implementation of these interventions lead to annual yield increases of 8.7 percent for an average crop farmer compared to the current level. Increased fertilizer application is also found to be profitable for an average farmer despite price reduction for crops following increased market supply. As a result of price and income effects of the interventions, all household types exhibit welfare gain. Non-farming households, being net consumers, enjoy lower costs of living. Rural farming households enjoy even higher welfare gain than non-farming households because they consume a higher share from crop commodities that become cheaper, and because their farming profits increase.

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    Authors: orcid bw Babacar Faye;
    Babacar Faye
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    Babacar Faye in OpenAIRE
    orcid Heidi Webber;
    Heidi Webber
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    Heidi Webber in OpenAIRE
    Jesse B. Naab; orcid Dilys S. MacCarthy;
    Dilys S. MacCarthy
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    Dilys S. MacCarthy in OpenAIRE
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    Pour réduire les risques du changement climatique, les gouvernements ont convenu dans l'Accord de Paris de limiter l'augmentation de la température mondiale à moins de 2,0 °C par rapport aux niveaux préindustriels, avec l'ambition de maintenir le réchauffement à 1,5 °C. La cartographie des réponses d'atténuation appropriées nécessite des informations sur les coûts d'atténuation par rapport aux dommages associés pour les deux niveaux de réchauffement. Dans cette évaluation, une considération critique est l'impact sur les rendements des cultures et la variabilité des rendements dans les régions actuellement confrontées à l'insécurité alimentaire. La présente étude a évalué les impacts de 1,5 °C par rapport à 2,0 °C sur les rendements du maïs, du millet perlé et du sorgho dans la savane soudanaise d'Afrique de l'Ouest en utilisant deux modèles de culture qui ont été calibrés avec des variétés communes issues d'expériences dans la région, la gestion reflétant une gamme de fenêtres de semis typiques. Comme l'intensification durable est encouragée dans la région pour améliorer la sécurité alimentaire, des simulations ont été menées à la fois pour l'utilisation actuelle d'engrais et pour un cas d'intensification (fertilité non limitative). Avec l'utilisation actuelle d'engrais, les résultats ont indiqué des pertes plus élevées de 2 % pour le maïs et le sorgho avec 2,0 °C par rapport au réchauffement de 1,5 °C, sans changement dans les rendements en mil pour aucun des scénarios. Dans le cas de l'intensification, les pertes de rendement dues au changement climatique étaient plus importantes qu'avec les niveaux actuels d'engrais. Cependant, malgré les pertes plus importantes, les rendements ont toujours été deux à trois fois plus élevés avec l'intensification, quel que soit le scénario de réchauffement. Bien que la variabilité du rendement ait augmenté avec l'intensification, il n'y avait aucune interaction avec le scénario de réchauffement. Une analyse des risques et du marché est nécessaire pour étendre ces résultats afin de comprendre les implications pour la sécurité alimentaire. Para reducir los riesgos del cambio climático, los gobiernos acordaron en el Acuerdo de París limitar el aumento de la temperatura global a menos de 2,0 °C por encima de los niveles preindustriales, con la ambición de mantener el calentamiento a 1,5 °C. El trazado de las respuestas de mitigación apropiadas requiere información sobre los costos de la mitigación frente a los daños asociados para los dos niveles de calentamiento. En esta evaluación, una consideración crítica es el impacto en los rendimientos de los cultivos y la variabilidad del rendimiento en las regiones actualmente desafiadas por la inseguridad alimentaria. El estudio actual evaluó los impactos de 1,5 °C frente a 2,0 °C en los rendimientos de maíz, mijo perla y sorgo en la sabana de Sudán de África Occidental utilizando dos modelos de cultivo que se calibraron con variedades comunes de experimentos en la región con un manejo que refleja una gama de ventanas de siembra típicas. A medida que se promueve la intensificación sostenible en la región para mejorar la seguridad alimentaria, se realizaron simulaciones tanto para el uso actual de fertilizantes como para un caso de intensificación (fertilidad no limitante). Con el uso actual de fertilizantes, los resultados indicaron pérdidas un 2% mayores para el maíz y el sorgo con 2,0 °C en comparación con el calentamiento de 1,5 °C, sin cambios en los rendimientos de mijo para ninguno de los dos escenarios. En el caso de la intensificación, las pérdidas de rendimiento debido al cambio climático fueron mayores que con los niveles actuales de fertilizantes. Sin embargo, a pesar de las mayores pérdidas, los rendimientos siempre fueron de dos a tres veces más altos con la intensificación, independientemente del escenario de calentamiento. Aunque la variabilidad del rendimiento aumentó con la intensificación, no hubo interacción con el escenario de calentamiento. Se necesitan análisis de riesgos y de mercado para ampliar estos resultados y comprender las implicaciones para la seguridad alimentaria. To reduce the risks of climate change, governments agreed in the Paris Agreement to limit global temperature rise to less than 2.0 °C above pre-industrial levels, with the ambition to keep warming to 1.5 °C. Charting appropriate mitigation responses requires information on the costs of mitigating versus associated damages for the two levels of warming. In this assessment, a critical consideration is the impact on crop yields and yield variability in regions currently challenged by food insecurity. The current study assessed impacts of 1.5 °C versus 2.0 °C on yields of maize, pearl millet and sorghum in the West African Sudan Savanna using two crop models that were calibrated with common varieties from experiments in the region with management reflecting a range of typical sowing windows. As sustainable intensification is promoted in the region for improving food security, simulations were conducted for both current fertilizer use and for an intensification case (fertility not limiting). With current fertilizer use, results indicated 2% units higher losses for maize and sorghum with 2.0 °C compared to 1.5 °C warming, with no change in millet yields for either scenario. In the intensification case, yield losses due to climate change were larger than with current fertilizer levels. However, despite the larger losses, yields were always two to three times higher with intensification, irrespective of the warming scenario. Though yield variability increased with intensification, there was no interaction with warming scenario. Risk and market analysis are needed to extend these results to understand implications for food security. للحد من مخاطر تغير المناخ، اتفقت الحكومات في اتفاقية باريس على الحد من ارتفاع درجة الحرارة العالمية إلى أقل من 2.0 درجة مئوية فوق مستويات ما قبل الصناعة، مع طموح للحفاظ على ارتفاع درجة الحرارة إلى 1.5 درجة مئوية. يتطلب رسم استجابات التخفيف المناسبة معلومات عن تكاليف التخفيف مقابل الأضرار المرتبطة بمستويي الاحترار. في هذا التقييم، يتمثل أحد الاعتبارات الهامة في التأثير على غلة المحاصيل وتقلب الغلة في المناطق التي تواجه حاليًا انعدام الأمن الغذائي. قيمت الدراسة الحالية تأثيرات 1.5 درجة مئوية مقابل 2.0 درجة مئوية على غلة الذرة والدخن اللؤلؤي والذرة الرفيعة في سافانا غرب إفريقيا باستخدام نموذجين للمحاصيل تمت معايرتهما بأصناف شائعة من التجارب في المنطقة مع الإدارة التي تعكس مجموعة من نوافذ البذر النموذجية. ومع تعزيز التكثيف المستدام في المنطقة لتحسين الأمن الغذائي، أجريت عمليات محاكاة لكل من الاستخدام الحالي للأسمدة وحالة التكثيف (الخصوبة غير محدودة). مع استخدام الأسمدة الحالي، أشارت النتائج إلى خسائر أعلى بنسبة 2 ٪ للذرة والذرة الرفيعة مع 2.0 درجة مئوية مقارنة بالاحترار 1.5 درجة مئوية، مع عدم وجود تغيير في غلة الدخن لأي من السيناريوهين. في حالة التكثيف، كانت خسائر الغلة بسبب تغير المناخ أكبر من مستويات الأسمدة الحالية. ومع ذلك، على الرغم من الخسائر الأكبر، كانت الغلة دائمًا أعلى مرتين إلى ثلاث مرات مع التكثيف، بغض النظر عن سيناريو الاحترار. على الرغم من زيادة تقلب المحصول مع التكثيف، لم يكن هناك تفاعل مع سيناريو الاحترار. هناك حاجة إلى تحليل المخاطر والسوق لتوسيع نطاق هذه النتائج لفهم الآثار المترتبة على الأمن الغذائي.

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    Authors: orcid bw Babacar Faye;
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    Pour réduire les risques du changement climatique, les gouvernements ont convenu dans l'Accord de Paris de limiter l'augmentation de la température mondiale à moins de 2,0 °C par rapport aux niveaux préindustriels, avec l'ambition de maintenir le réchauffement à 1,5 °C. La cartographie des réponses d'atténuation appropriées nécessite des informations sur les coûts d'atténuation par rapport aux dommages associés pour les deux niveaux de réchauffement. Dans cette évaluation, une considération critique est l'impact sur les rendements des cultures et la variabilité des rendements dans les régions actuellement confrontées à l'insécurité alimentaire. La présente étude a évalué les impacts de 1,5 °C par rapport à 2,0 °C sur les rendements du maïs, du millet perlé et du sorgho dans la savane soudanaise d'Afrique de l'Ouest en utilisant deux modèles de culture qui ont été calibrés avec des variétés communes issues d'expériences dans la région, la gestion reflétant une gamme de fenêtres de semis typiques. Comme l'intensification durable est encouragée dans la région pour améliorer la sécurité alimentaire, des simulations ont été menées à la fois pour l'utilisation actuelle d'engrais et pour un cas d'intensification (fertilité non limitative). Avec l'utilisation actuelle d'engrais, les résultats ont indiqué des pertes plus élevées de 2 % pour le maïs et le sorgho avec 2,0 °C par rapport au réchauffement de 1,5 °C, sans changement dans les rendements en mil pour aucun des scénarios. Dans le cas de l'intensification, les pertes de rendement dues au changement climatique étaient plus importantes qu'avec les niveaux actuels d'engrais. Cependant, malgré les pertes plus importantes, les rendements ont toujours été deux à trois fois plus élevés avec l'intensification, quel que soit le scénario de réchauffement. Bien que la variabilité du rendement ait augmenté avec l'intensification, il n'y avait aucune interaction avec le scénario de réchauffement. Une analyse des risques et du marché est nécessaire pour étendre ces résultats afin de comprendre les implications pour la sécurité alimentaire. Para reducir los riesgos del cambio climático, los gobiernos acordaron en el Acuerdo de París limitar el aumento de la temperatura global a menos de 2,0 °C por encima de los niveles preindustriales, con la ambición de mantener el calentamiento a 1,5 °C. El trazado de las respuestas de mitigación apropiadas requiere información sobre los costos de la mitigación frente a los daños asociados para los dos niveles de calentamiento. En esta evaluación, una consideración crítica es el impacto en los rendimientos de los cultivos y la variabilidad del rendimiento en las regiones actualmente desafiadas por la inseguridad alimentaria. El estudio actual evaluó los impactos de 1,5 °C frente a 2,0 °C en los rendimientos de maíz, mijo perla y sorgo en la sabana de Sudán de África Occidental utilizando dos modelos de cultivo que se calibraron con variedades comunes de experimentos en la región con un manejo que refleja una gama de ventanas de siembra típicas. A medida que se promueve la intensificación sostenible en la región para mejorar la seguridad alimentaria, se realizaron simulaciones tanto para el uso actual de fertilizantes como para un caso de intensificación (fertilidad no limitante). Con el uso actual de fertilizantes, los resultados indicaron pérdidas un 2% mayores para el maíz y el sorgo con 2,0 °C en comparación con el calentamiento de 1,5 °C, sin cambios en los rendimientos de mijo para ninguno de los dos escenarios. En el caso de la intensificación, las pérdidas de rendimiento debido al cambio climático fueron mayores que con los niveles actuales de fertilizantes. Sin embargo, a pesar de las mayores pérdidas, los rendimientos siempre fueron de dos a tres veces más altos con la intensificación, independientemente del escenario de calentamiento. Aunque la variabilidad del rendimiento aumentó con la intensificación, no hubo interacción con el escenario de calentamiento. Se necesitan análisis de riesgos y de mercado para ampliar estos resultados y comprender las implicaciones para la seguridad alimentaria. To reduce the risks of climate change, governments agreed in the Paris Agreement to limit global temperature rise to less than 2.0 °C above pre-industrial levels, with the ambition to keep warming to 1.5 °C. Charting appropriate mitigation responses requires information on the costs of mitigating versus associated damages for the two levels of warming. In this assessment, a critical consideration is the impact on crop yields and yield variability in regions currently challenged by food insecurity. The current study assessed impacts of 1.5 °C versus 2.0 °C on yields of maize, pearl millet and sorghum in the West African Sudan Savanna using two crop models that were calibrated with common varieties from experiments in the region with management reflecting a range of typical sowing windows. As sustainable intensification is promoted in the region for improving food security, simulations were conducted for both current fertilizer use and for an intensification case (fertility not limiting). With current fertilizer use, results indicated 2% units higher losses for maize and sorghum with 2.0 °C compared to 1.5 °C warming, with no change in millet yields for either scenario. In the intensification case, yield losses due to climate change were larger than with current fertilizer levels. However, despite the larger losses, yields were always two to three times higher with intensification, irrespective of the warming scenario. Though yield variability increased with intensification, there was no interaction with warming scenario. Risk and market analysis are needed to extend these results to understand implications for food security. للحد من مخاطر تغير المناخ، اتفقت الحكومات في اتفاقية باريس على الحد من ارتفاع درجة الحرارة العالمية إلى أقل من 2.0 درجة مئوية فوق مستويات ما قبل الصناعة، مع طموح للحفاظ على ارتفاع درجة الحرارة إلى 1.5 درجة مئوية. يتطلب رسم استجابات التخفيف المناسبة معلومات عن تكاليف التخفيف مقابل الأضرار المرتبطة بمستويي الاحترار. في هذا التقييم، يتمثل أحد الاعتبارات الهامة في التأثير على غلة المحاصيل وتقلب الغلة في المناطق التي تواجه حاليًا انعدام الأمن الغذائي. قيمت الدراسة الحالية تأثيرات 1.5 درجة مئوية مقابل 2.0 درجة مئوية على غلة الذرة والدخن اللؤلؤي والذرة الرفيعة في سافانا غرب إفريقيا باستخدام نموذجين للمحاصيل تمت معايرتهما بأصناف شائعة من التجارب في المنطقة مع الإدارة التي تعكس مجموعة من نوافذ البذر النموذجية. ومع تعزيز التكثيف المستدام في المنطقة لتحسين الأمن الغذائي، أجريت عمليات محاكاة لكل من الاستخدام الحالي للأسمدة وحالة التكثيف (الخصوبة غير محدودة). مع استخدام الأسمدة الحالي، أشارت النتائج إلى خسائر أعلى بنسبة 2 ٪ للذرة والذرة الرفيعة مع 2.0 درجة مئوية مقارنة بالاحترار 1.5 درجة مئوية، مع عدم وجود تغيير في غلة الدخن لأي من السيناريوهين. في حالة التكثيف، كانت خسائر الغلة بسبب تغير المناخ أكبر من مستويات الأسمدة الحالية. ومع ذلك، على الرغم من الخسائر الأكبر، كانت الغلة دائمًا أعلى مرتين إلى ثلاث مرات مع التكثيف، بغض النظر عن سيناريو الاحترار. على الرغم من زيادة تقلب المحصول مع التكثيف، لم يكن هناك تفاعل مع سيناريو الاحترار. هناك حاجة إلى تحليل المخاطر والسوق لتوسيع نطاق هذه النتائج لفهم الآثار المترتبة على الأمن الغذائي.

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    Environmental Research Letters
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    Authors: Jianhua Dong; Wenzhi Zeng; Guoqing Lei; orcid Lifeng Wu;
    Lifeng Wu
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    Journal of Hydrology
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Journal of Hydrology
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    Authors: Jianhua Dong; Wenzhi Zeng; Guoqing Lei; orcid Lifeng Wu;
    Lifeng Wu
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    Lifeng Wu in OpenAIRE
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Hydrologyarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Journal of Hydrology
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Journal of Hydrology
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    Authors: orcid Evgenios Agathokleous;
    Evgenios Agathokleous
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    Evgenios Agathokleous in OpenAIRE
    orcid Michael Frei;
    Michael Frei
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    Michael Frei in OpenAIRE
    orcid Oliver M. Knopf;
    Oliver M. Knopf
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    Oliver M. Knopf in OpenAIRE
    orcid Onno Muller;
    Onno Muller
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    Onno Muller in OpenAIRE
    +11 Authors

    Nature food 4(10), 854 - 865 (2023). doi:10.1038/s43016-023-00858-y Published by Nature Research, London

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    Nature Food
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      Nature Food
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    Authors: orcid Evgenios Agathokleous;
    Evgenios Agathokleous
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    Evgenios Agathokleous in OpenAIRE
    orcid Michael Frei;
    Michael Frei
    ORCID
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    Michael Frei in OpenAIRE
    orcid Oliver M. Knopf;
    Oliver M. Knopf
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    Oliver M. Knopf in OpenAIRE
    orcid Onno Muller;
    Onno Muller
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    Onno Muller in OpenAIRE
    +11 Authors

    Nature food 4(10), 854 - 865 (2023). doi:10.1038/s43016-023-00858-y Published by Nature Research, London

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    Nature Food
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Nature Food
      Article . 2023 . Peer-reviewed
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    Authors: orcid Yawovi Sena Koglo;
    Yawovi Sena Koglo
    ORCID
    Harvested from ORCID Public Data File

    Yawovi Sena Koglo in OpenAIRE
    orcid Wilson Agyei Agyare;
    Wilson Agyei Agyare
    ORCID
    Harvested from ORCID Public Data File

    Wilson Agyei Agyare in OpenAIRE
    orcid Badabaté Diwediga;
    Badabaté Diwediga
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    Badabaté Diwediga in OpenAIRE
    Jean Mianikpo Sogbedji; +2 Authors

    This study investigates proximate drivers of cropland and forest degradation in the Kloto district (Togo, West Africa) as a way of exploring integrated sustainable landscape approaches with respect to socioeconomic and environmental needs and requirements. Net change analysis of major cash and food crops based on Landsat data from three time steps (1985–2002, 2002–2017, and 1985–2017) and quantitative analysis from participatory survey data with farmers and landowners are used. The study underlines poor agricultural systems and cassava farming as major factors contributing to the alarming forest losses between 1985 and 2017. A significant net loss in forest cover of 23.6% and areas under maize and cocoa agroforestry farming of 12.99% and 10.1% between 1985 and 2017, respectively, was noted. These significant losses are due to intensive cassava cropping (38.78%) and settlement expansion (7.87%). Meanwhile, the loss of forest cover between 2002 and 2017 was marginal (8.36%) compared to the period 1985–2002, which had a considerable loss of 15.24%. Based on participatory surveys, the majority of agricultural lands are threatened by erosion or physical deterioration (67.5%), land degradation or salt deposits and loss of micro/macro fauna and flora (56.7%), declines in soil fertility (32.5%) and soil water holding capacity (11.7%), and changes in soil texture (3.3%). Most farmers adhere to the proposed climate smart practices, with an emphasis on cost-effective drip irrigation systems (45.83%), soil mulching (35%), and the adoption of drought-resilient varieties (29.17%) to anticipate adverse spells. We conclude that low adoption of improved soil conservation, integrated water management, and harvesting systems and the use of less productive and adaptive cultivars entail extreme degradation of cropland and a decline in crop productivity. Consequently, farmers are forced to clear more forest in search of stable and healthy soil to meet their food demands and improve their livelihood. Capacity building on integrated pathways of soil and land management practices is therefore needed to ensure sustainable and viable socio-ecological systems at a local scale.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Soil Systemsarrow_drop_down
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    Soil Systems
    Article . 2018 . Peer-reviewed
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    Soil Systems
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    https://dx.doi.org/10.60692/za...
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      Soil Systems
      Article . 2018 . Peer-reviewed
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      Soil Systems
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    Authors: orcid Yawovi Sena Koglo;
    Yawovi Sena Koglo
    ORCID
    Harvested from ORCID Public Data File

    Yawovi Sena Koglo in OpenAIRE
    orcid Wilson Agyei Agyare;
    Wilson Agyei Agyare
    ORCID
    Harvested from ORCID Public Data File

    Wilson Agyei Agyare in OpenAIRE
    orcid Badabaté Diwediga;
    Badabaté Diwediga
    ORCID
    Harvested from ORCID Public Data File

    Badabaté Diwediga in OpenAIRE
    Jean Mianikpo Sogbedji; +2 Authors

    This study investigates proximate drivers of cropland and forest degradation in the Kloto district (Togo, West Africa) as a way of exploring integrated sustainable landscape approaches with respect to socioeconomic and environmental needs and requirements. Net change analysis of major cash and food crops based on Landsat data from three time steps (1985–2002, 2002–2017, and 1985–2017) and quantitative analysis from participatory survey data with farmers and landowners are used. The study underlines poor agricultural systems and cassava farming as major factors contributing to the alarming forest losses between 1985 and 2017. A significant net loss in forest cover of 23.6% and areas under maize and cocoa agroforestry farming of 12.99% and 10.1% between 1985 and 2017, respectively, was noted. These significant losses are due to intensive cassava cropping (38.78%) and settlement expansion (7.87%). Meanwhile, the loss of forest cover between 2002 and 2017 was marginal (8.36%) compared to the period 1985–2002, which had a considerable loss of 15.24%. Based on participatory surveys, the majority of agricultural lands are threatened by erosion or physical deterioration (67.5%), land degradation or salt deposits and loss of micro/macro fauna and flora (56.7%), declines in soil fertility (32.5%) and soil water holding capacity (11.7%), and changes in soil texture (3.3%). Most farmers adhere to the proposed climate smart practices, with an emphasis on cost-effective drip irrigation systems (45.83%), soil mulching (35%), and the adoption of drought-resilient varieties (29.17%) to anticipate adverse spells. We conclude that low adoption of improved soil conservation, integrated water management, and harvesting systems and the use of less productive and adaptive cultivars entail extreme degradation of cropland and a decline in crop productivity. Consequently, farmers are forced to clear more forest in search of stable and healthy soil to meet their food demands and improve their livelihood. Capacity building on integrated pathways of soil and land management practices is therefore needed to ensure sustainable and viable socio-ecological systems at a local scale.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Soil Systemsarrow_drop_down
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    Soil Systems
    Article . 2018 . Peer-reviewed
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    Soil Systems
    Article
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    https://dx.doi.org/10.60692/za...
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      Soil Systems
      Article . 2018 . Peer-reviewed
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      Soil Systems
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    Authors: Simanjuntak, Christian; orcid Gaiser, Thomas;
    Gaiser, Thomas
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    Harvested from ORCID Public Data File

    Gaiser, Thomas in OpenAIRE
    orcid Ahrends, Hella Ellen;
    Ahrends, Hella Ellen
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    Harvested from ORCID Public Data File

    Ahrends, Hella Ellen in OpenAIRE
    orcid Srivastava, Amit Kumar;
    Srivastava, Amit Kumar
    ORCID
    Harvested from ORCID Public Data File

    Srivastava, Amit Kumar in OpenAIRE

    AbstractClimate change impacts on maize production in South Africa, i.e., interannual yield variabilities, are still not well understood. This study is based on a recently released reanalysis of climate observations (AgERA5), i.e., temperature, precipitation, solar radiation, and wind speed data. The study assesses climate change effects by quantifying the trend of agrometeorological indicators, their correlation with maize yield, and analyzing their spatiotemporal patterns using Empirical Orthogonal Function. Thereby, the main agrometeorological factors that affected yield variability for the last 31 years (1990/91–2020/21 growing season) in major maize production provinces, namely Free State, KwaZulu-Natal, Mpumalanga, and North West are identified. Results show that there was a significant positive trend in temperature that averages 0.03–0.04 °C per year and 0.02–0.04 °C per growing season. There was a decreasing trend in precipitation in Free State with 0.01 mm per year. Solar radiation did not show a significant trend. Wind speed in Free State increased at a rate of 0.01 ms−1per growing season. Yield variabilities in Free State, Mpumalanga, and North West show a significant positive correlation (r > 0.43) with agrometeorological variables. Yield in KwaZulu-Natal is not influenced by climate factors. The leading mode (50–80% of total variance) of each agrometeorological variable indicates spatially homogenous pattern across the regions. The dipole patterns of the second and the third mode suggest the variabilities of agrometeorological indicators are linked to South Indian high pressure and the warm Agulhas current. The corresponding principal components were mainly associated with strong climate anomalies which are identified as El Niño and La Niña events.

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    Authors: Simanjuntak, Christian; orcid Gaiser, Thomas;
    Gaiser, Thomas
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    Gaiser, Thomas in OpenAIRE
    orcid Ahrends, Hella Ellen;
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    Ahrends, Hella Ellen in OpenAIRE
    orcid Srivastava, Amit Kumar;
    Srivastava, Amit Kumar
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    Srivastava, Amit Kumar in OpenAIRE

    AbstractClimate change impacts on maize production in South Africa, i.e., interannual yield variabilities, are still not well understood. This study is based on a recently released reanalysis of climate observations (AgERA5), i.e., temperature, precipitation, solar radiation, and wind speed data. The study assesses climate change effects by quantifying the trend of agrometeorological indicators, their correlation with maize yield, and analyzing their spatiotemporal patterns using Empirical Orthogonal Function. Thereby, the main agrometeorological factors that affected yield variability for the last 31 years (1990/91–2020/21 growing season) in major maize production provinces, namely Free State, KwaZulu-Natal, Mpumalanga, and North West are identified. Results show that there was a significant positive trend in temperature that averages 0.03–0.04 °C per year and 0.02–0.04 °C per growing season. There was a decreasing trend in precipitation in Free State with 0.01 mm per year. Solar radiation did not show a significant trend. Wind speed in Free State increased at a rate of 0.01 ms−1per growing season. Yield variabilities in Free State, Mpumalanga, and North West show a significant positive correlation (r > 0.43) with agrometeorological variables. Yield in KwaZulu-Natal is not influenced by climate factors. The leading mode (50–80% of total variance) of each agrometeorological variable indicates spatially homogenous pattern across the regions. The dipole patterns of the second and the third mode suggest the variabilities of agrometeorological indicators are linked to South Indian high pressure and the warm Agulhas current. The corresponding principal components were mainly associated with strong climate anomalies which are identified as El Niño and La Niña events.

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    Authors: orcid Nguyen, Thuy Huu;
    Nguyen, Thuy Huu
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    Nguyen, Thuy Huu in OpenAIRE
    orcid Lopez, Gina;
    Lopez, Gina
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    orcid Seidel, Sabine J.;
    Seidel, Sabine J.
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    Seidel, Sabine J. in OpenAIRE
    orcid Lärm, Lena;
    Lärm, Lena
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    Lärm, Lena in OpenAIRE
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    AbstractImproved understanding of crops’ response to soil water stress is important to advance soil-plant system models and to support crop breeding, crop and varietal selection, and management decisions to minimize negative impacts. Studies on eco-physiological crop characteristics from leaf to canopy for different soil water conditions and crops are often carried out at controlled conditions. In-field measurements under realistic field conditions and data of plant water potential, its links with CO2 and H2O gas fluxes, and crop growth processes are rare. Here, we presented a comprehensive data set collected from leaf to canopy using sophisticated and comprehensive sensing techniques (leaf chlorophyll, stomatal conductance and photosynthesis, canopy CO2 exchange, sap flow, and canopy temperature) including detailed crop growth characteristics based on destructive methods (crop height, leaf area index, aboveground biomass, and yield). Data were acquired under field conditions with contrasting soil types, water treatments, and different cultivars of wheat and maize. The data from 2016 up to now will be made available for studying soil/water-plant relations and improving soil-plant-atmospheric continuum models.

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    Authors: orcid Nguyen, Thuy Huu;
    Nguyen, Thuy Huu
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    Nguyen, Thuy Huu in OpenAIRE
    orcid Lopez, Gina;
    Lopez, Gina
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    Lopez, Gina in OpenAIRE
    orcid Seidel, Sabine J.;
    Seidel, Sabine J.
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    Seidel, Sabine J. in OpenAIRE
    orcid Lärm, Lena;
    Lärm, Lena
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    AbstractImproved understanding of crops’ response to soil water stress is important to advance soil-plant system models and to support crop breeding, crop and varietal selection, and management decisions to minimize negative impacts. Studies on eco-physiological crop characteristics from leaf to canopy for different soil water conditions and crops are often carried out at controlled conditions. In-field measurements under realistic field conditions and data of plant water potential, its links with CO2 and H2O gas fluxes, and crop growth processes are rare. Here, we presented a comprehensive data set collected from leaf to canopy using sophisticated and comprehensive sensing techniques (leaf chlorophyll, stomatal conductance and photosynthesis, canopy CO2 exchange, sap flow, and canopy temperature) including detailed crop growth characteristics based on destructive methods (crop height, leaf area index, aboveground biomass, and yield). Data were acquired under field conditions with contrasting soil types, water treatments, and different cultivars of wheat and maize. The data from 2016 up to now will be made available for studying soil/water-plant relations and improving soil-plant-atmospheric continuum models.

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    Authors: orcid Ruiz-Ramos, M.;
    Ruiz-Ramos, M.
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    orcid Ferrise, R.;
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    orcid Lorite, I. J.;
    Lorite, I. J.
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    Lorite, I. J. in OpenAIRE
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    Adaptation of crops to climate change has to be addressed locally due to the variability of soil, climate and the specific socio-economic settings influencing farm management decisions. Adaptation of rainfed cropping systems in the Mediterranean is especially challenging due to the projected decline in precipitation in the coming decades, which will increase the risk of droughts. Methods that can help explore uncertainties in climate projections and crop modelling, such as impact response surfaces (IRSs) and ensemble modelling, can then be valuable for identifying effective adaptations. Here, an ensemble of 17 crop models was used to simulate a total of 54 adaptation options for rainfed winter wheat (Triticum aestivum) at Lleida (NE Spain). To support the ensemble building, an ex post quality check of model simulations based on several criteria was performed. Those criteria were based on the “According to Our Current Knowledge” (AOCK) concept, which has been formalized here. Adaptations were based on changes in cultivars and management regarding phenology, vernalization, sowing date and irrigation. The effects of adaptation options under changed precipitation (P), temperature (T), [CO2] and soil type were analysed by constructing response surfaces, which we termed, in accordance with their specific purpose, adaptation response surfaces (ARSs). These were created to assess the effect of adaptations through a range of plausible P, T and [CO2] perturbations. The results indicated that impacts of altered climate were predominantly negative. No single adaptation was capable of overcoming the detrimental effect of the complex interactions imposed by the P, T and [CO2] perturbations except for supplementary irrigation (sI), which reduced the potential impacts under most of the perturbations. Yet, a combination of adaptations for dealing with climate change demonstrated that effective adaptation is possible at Lleida. Combinations based on a cultivar without vernalization requirements showed good and wide adaptation potential. Few combined adaptation options performed well under rainfed conditions. However, a single sI was sufficient to develop a high adaptation potential, including options mainly based on spring wheat, current cycle duration and early sowing date. Depending on local environment (e.g. soil type), many of these adaptations can maintain current yield levels under moderate changes in T and P, and some also under strong changes. We conclude that ARSs can offer a useful tool for supporting planning of field level adaptation under conditions of high uncertainty.

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    Agricultural Systems
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    Authors: orcid Ruiz-Ramos, M.;
    Ruiz-Ramos, M.
    ORCID
    Harvested from ORCID Public Data File

    Ruiz-Ramos, M. in OpenAIRE
    orcid Ferrise, R.;
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    orcid Lorite, I. J.;
    Lorite, I. J.
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    Harvested from ORCID Public Data File

    Lorite, I. J. in OpenAIRE
    +34 Authors

    Adaptation of crops to climate change has to be addressed locally due to the variability of soil, climate and the specific socio-economic settings influencing farm management decisions. Adaptation of rainfed cropping systems in the Mediterranean is especially challenging due to the projected decline in precipitation in the coming decades, which will increase the risk of droughts. Methods that can help explore uncertainties in climate projections and crop modelling, such as impact response surfaces (IRSs) and ensemble modelling, can then be valuable for identifying effective adaptations. Here, an ensemble of 17 crop models was used to simulate a total of 54 adaptation options for rainfed winter wheat (Triticum aestivum) at Lleida (NE Spain). To support the ensemble building, an ex post quality check of model simulations based on several criteria was performed. Those criteria were based on the “According to Our Current Knowledge” (AOCK) concept, which has been formalized here. Adaptations were based on changes in cultivars and management regarding phenology, vernalization, sowing date and irrigation. The effects of adaptation options under changed precipitation (P), temperature (T), [CO2] and soil type were analysed by constructing response surfaces, which we termed, in accordance with their specific purpose, adaptation response surfaces (ARSs). These were created to assess the effect of adaptations through a range of plausible P, T and [CO2] perturbations. The results indicated that impacts of altered climate were predominantly negative. No single adaptation was capable of overcoming the detrimental effect of the complex interactions imposed by the P, T and [CO2] perturbations except for supplementary irrigation (sI), which reduced the potential impacts under most of the perturbations. Yet, a combination of adaptations for dealing with climate change demonstrated that effective adaptation is possible at Lleida. Combinations based on a cultivar without vernalization requirements showed good and wide adaptation potential. Few combined adaptation options performed well under rainfed conditions. However, a single sI was sufficient to develop a high adaptation potential, including options mainly based on spring wheat, current cycle duration and early sowing date. Depending on local environment (e.g. soil type), many of these adaptations can maintain current yield levels under moderate changes in T and P, and some also under strong changes. We conclude that ARSs can offer a useful tool for supporting planning of field level adaptation under conditions of high uncertainty.

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    Agricultural Systems
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    Authors: orcid Manuel Müller;
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    Recent climate analyses show trends for increasing precipitation variability with increasing precipitation sums in Mali. The increasing occurrence of temporary intra-seasonal droughts and waterlogging longer than a week demands climate-smart solutions. Research has focused on water deficits since the 1980s. However, besides droughts, waterlogging can restrict productivity of sensitive cash and staple crops as cotton and corn. The year 2019 offered the historically unique opportunity to monitor waterlogging effects with 1088 mm precipitation in the rural commune Cinzanawith an isohyet of 681 mm. Impacts of two extreme downpours on three sorghum cultivars were monitored in a farmers-field experiment with three replications. All sorghum cultivars performed well in 2019 with significantly higher grain and above ground biomass yields than in the reference year 2007, with well distributed rainfall in Cinzana. “Jakumbè” (CSM63E) produced significantly higher grain yields than the hybrid cultivar “PR3009B” bred for high harvest index. The local cultivar “Gnofing” selected by local farmers produced significantly higher above ground biomass. All cultivars tolerated without severe stress symptoms 20 days waterlogging and 72 h inundation. Further waterlogging resilience research of other crops and other sorghum cultivars is needed to strengthen food security in Mali with expected increasing precipitation variation in the future.

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    Authors: orcid Manuel Müller;
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    orcid Siaka Dembélé;
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    Recent climate analyses show trends for increasing precipitation variability with increasing precipitation sums in Mali. The increasing occurrence of temporary intra-seasonal droughts and waterlogging longer than a week demands climate-smart solutions. Research has focused on water deficits since the 1980s. However, besides droughts, waterlogging can restrict productivity of sensitive cash and staple crops as cotton and corn. The year 2019 offered the historically unique opportunity to monitor waterlogging effects with 1088 mm precipitation in the rural commune Cinzanawith an isohyet of 681 mm. Impacts of two extreme downpours on three sorghum cultivars were monitored in a farmers-field experiment with three replications. All sorghum cultivars performed well in 2019 with significantly higher grain and above ground biomass yields than in the reference year 2007, with well distributed rainfall in Cinzana. “Jakumbè” (CSM63E) produced significantly higher grain yields than the hybrid cultivar “PR3009B” bred for high harvest index. The local cultivar “Gnofing” selected by local farmers produced significantly higher above ground biomass. All cultivars tolerated without severe stress symptoms 20 days waterlogging and 72 h inundation. Further waterlogging resilience research of other crops and other sorghum cultivars is needed to strengthen food security in Mali with expected increasing precipitation variation in the future.

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