Maize-nutrient response information applied across Sub-Saharan Africa

@article{Wortmann2017MaizenutrientRI,
  title={Maize-nutrient response information applied across Sub-Saharan Africa},
  author={Charles Stephen Wortmann and Maribeth Milner and Kayuki C. Kaizzi and Maman Nouri and Athanase R. Cyamweshi and Mohammed K. Dicko and Catherine N. Kibunja and Martin W Macharia and Ricardo de Maria and Patson Cleopus Nalivata and Negash Demissie and Davy Nkonde and Korodjouma Ouattara and Catherine J. Senkoro and Bitrus Dawi Tarfa and Francis Kudjo Marthy Tetteh},
  journal={Nutrient Cycling in Agroecosystems},
  year={2017},
  volume={107},
  pages={175-186}
}
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… CONTINUE READING

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