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A Model-Based Estimation of Resource Use Efficiencies in Maize Production in Nigeria

Author

Listed:
  • Gina Lopez

    (Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115 Bonn, Germany)

  • Hannah Beate Kolem

    (Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115 Bonn, Germany)

  • Amit Kumar Srivastava

    (Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115 Bonn, Germany)

  • Thomas Gaiser

    (Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115 Bonn, Germany)

  • Frank Ewert

    (Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115 Bonn, Germany)

Abstract

Food security is an increasingly serious problem worldwide, and especially in sub-Saharan Africa. As land and resources are limited and environmental problems caused by agriculture are worsening, more efficient ways to use the resources available must be found. The objective of this study was to display the spatial variability in crop yield and resource use efficiencies across Nigeria and to give recommendations for improvement. Based on simulations from the crop model LINTUL5 we analyzed the influence of fertilizer application on the parameters Water Use Efficiency (WUE), Fertilizer Use Efficiency (FUE), and Radiation Use Efficiency (RUE) in maize. High spatial variability was observed, especially between the north and the south of the country. The highest potential for yield improvement was found in the south. While WUE and RUE increased with higher rates of fertilizer application, FUE decreased with higher rates. In order to improve these resource use efficiencies, we suggest optimizing management strategies, demand-oriented fertilizer application, and breeding for efficient traits.

Suggested Citation

  • Gina Lopez & Hannah Beate Kolem & Amit Kumar Srivastava & Thomas Gaiser & Frank Ewert, 2019. "A Model-Based Estimation of Resource Use Efficiencies in Maize Production in Nigeria," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5114-:d:268460
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    References listed on IDEAS

    as
    1. Srivastava, Amit Kumar & Mboh, Cho Miltin & Gaiser, Thomas & Kuhn, Arnim & Ermias, Engida & Ewert, Frank, 2019. "Effect of mineral fertilizer on rain water and radiation use efficiencies for maize yield and stover biomass productivity in Ethiopia," Agricultural Systems, Elsevier, vol. 168(C), pages 88-100.
    2. Chambers, Christopher P. & Miller, Alan D., "undated". "Inefficiency," Working Papers WP2011/14, University of Haifa, Department of Economics, revised 30 Nov 2011.
    3. Gaiser, Thomas & Perkons, Ute & Küpper, Paul Martin & Kautz, Timo & Uteau-Puschmann, Daniel & Ewert, Frank & Enders, Andreas & Krauss, Gunther, 2013. "Modeling biopore effects on root growth and biomass production on soils with pronounced sub-soil clay accumulation," Ecological Modelling, Elsevier, vol. 256(C), pages 6-15.
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    5. Srivastava, Amit Kumar & Mboh, Cho Miltin & Gaiser, Thomas & Webber, Heidi & Ewert, Frank, 2016. "Effect of sowing date distributions on simulation of maize yields at regional scale – A case study in Central Ghana, West Africa," Agricultural Systems, Elsevier, vol. 147(C), pages 10-23.
    6. repec:wbk:wbpubs:6650 is not listed on IDEAS
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