Data from: Maize-nutrient response information applied across Sub-Saharan Africa

Charles S. Wortmann, Maribeth Milner, Kayuki C. Kaizzi, Maman Nouri, Athanase R. Cyamweshi, Mohammed K. Dicko, Catherine N. Kibunja, Martin Macharia, Ricardo Maria, Patson C. Nalivata, Negash Demissie, Davy Nkonde, Korodjouma Ouattara, Catherine J. Senkoro, Bitrus Dawi Tarfa & Francis M. Tetteh
The profit potential for a given investment in fertilizer use can be estimated using representative crop nutrient response functions. Where response data is scarce, determination of representative response functions can be strengthened by using results from homologous crop growing conditions. Maize (Zea mays L.) nutrient response functions were selected from the Optimization of Fertilizer Recommendations in Africa (OFRA) database of 5500 georeferenced response functions determined from field research conducted in Sub-Saharan Africa. Three methods for...

Registration Year

  • 2018
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Resource Types

  • Dataset
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Affiliations

  • Institut National de la Recherche Agronomique du Niger
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  • Kenya Agricultural and Livestock Research Organization
    1
  • Lilongwe university of Agriculture and Natural Resources
    1
  • Institut de l'Environnement et Recherches Agricoles
    1
  • Ahmadu Bello University
    1
  • Institut D'Economie Rurale
    1
  • Ethiopian Institute of Agricultural Research
    1
  • CAB International
    1
  • Council for Scientific and Industrial Research
    1
  • Rwanda Agriculture Board
    1