4 Works

Data from: Diagnosis of crop secondary and micro-nutrient deficiencies in sub-Saharan Africa

Charles S. Wortmann, Kayuki C. Kaizzi, Nouri Maman, Athanase Cyamweshi, Mohamed Dicko, Maman Garba, Maribeth Milner, Catherine Senkoro, Bitrus Tarfa, Francis Tettah, Catherine Kibunja, Moses Munthali, Patson Nalivata, Davy Nkonde, Leon Nabahungu, Korodjouma Ouattara & Idriss Serme
Crop production in sub-Saharan Africa has numerous biotic and abiotic constraints, including nutrient deficiencies. Information on crop response to macronutrients is relatively abundant compared with secondary and micronutrients (SMN). Data from 1339 trial replicates of 280 field trials conducted from 2013 to 2016 in 11 countries were analyzed for the diagnosis of SMN deficiencies. The diagnostic data included relative yield response (RYR) and soil and foliar test results. The RYR to application of a combination...

Worldwide evidence of a unimodal relationship between productivity and plant species richness

Lauchlan H. Fraser, Jason Pither, Anke Jentsch, Marcelo Sternberg, Martin Zobel, Diana Askarizadeh, Sandor Bartha, Carl Beierkuhnlein, Jonathan A. Bennett, Alex Bittel, Bazartseren Boldgiv, Ilsi I. Boldrini, Edward Bork, Leslie Brown, Marcelo Cabido, James Cahill, Cameron N. Carlyle, Giandiego Campetella, Stefano Chelli, Ofer Cohen, Anna-Maria Csergo, Sandra Diaz, Lucas Enrico, David Ensing, Alessandra Fidelis … & Szilárd Szentes
The search for predictions of species diversity across environmental gradients has challenged ecologists for decades. The humped-back model (HBM) suggests that plant diversity peaks at intermediate productivity; at low productivity few species can tolerate the environmental stresses, and at high productivity a few highly competitive species dominate. Over time the HBM has become increasingly controversial, and recent studies claim to have refuted it. Here, by using data from coordinated surveys conducted throughout grasslands worldwide and...

Data from: Maize-nutrient response functions for Eastern and Southern Africa

Charles S. Wortmann, Catherine Senkoro, Athanase R. Cyamweshi, Catherine Kibunja, Davy Nkonde, Moses Munthali, Patson Nalivata, Léon N. Nabahungu, Kayuki Kaizzi & Charles Wortmann
Information is scarce for maize (Zea mays L.) response to nutrient application for many production areas in tropical Africa. Research was conducted to determine macronutrient response functions and to diagnose Mg–S–Zn–B deficiencies. Site–year × N-rate interactions within countries often accounted for little variation in yield relative to the N-rate effect. Country mean grain yield responses to N-rate were curvilinear to plateau, but linear in Malawi. Although mean yields differed, the response to N was similar...

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

  • 2019
  • 2018
  • 2015

Resource Types

  • Dataset


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