Field experimental data for crop modeling of wheat growth response to nitrogen fertilizer, elevated CO2, water stress, and high temperature

  • Belay T. Kassie University of Florida
  • Bruce A. Kimball USDA, Agricultural Research Service, US Arid-Land Agricultural Research Center, Maricopa
  • Peter D. Jamieson 3New Zealand Institute for Crop & Food Research
  • J. W. Bowden Agriculture Western Australia
  • Ken D. Sayre CIMMYT
  • J. J. Groot IFDC, PMB CT 284, Cantonments, Accra
  • Paul J. Pinter USDA, Agricultural Research Service, US Arid-Land Agricultural Research Center, Maricopa,
  • Robert L. LaMorte USDA, Agricultural Research Service, US Arid-Land Agricultural Research Center, Maricopa
  • Douglas J. Hunsaker USDA, Agricultural Research Service, US Arid-Land Agricultural Research Center, Maricopa
  • Gerard W. Wall USDA, Agricultural Research Service, US Arid-Land Agricultural Research Center, Maricopa
  • Steven W. Leavitt Laboratory of Tree Ring Research, University of Arizona
  • Jeffrey W. White Jeffrey.white@ars.usda.gov
  • Senthold Asseng University of Florida

Abstract

Field experimental data of five experiments covering a wide range of growing conditions are assembled for wheat growth and cropping systems modeling. The data include an experiment on interactive effects of elevated CO2 by water and elevated CO2 by nitrogen fertilizer application from a Free-Air Carbon Dioxide Enrichment experiment (FACE) at Arizona in USA; a nitrogen rate fertilizer experiment from three locations and two years in The Netherlands; water deficit experiments at Lincoln in New Zealand and at Cunderdin in Australia; and a temperature sensitivity experiment at Obregon in Mexico. The data consist of 65 experimental treatments with more than 1000 detailed observations, with time series of development and growth, soil water and soil nitrogen dynamics, yield and yield components, daily weather, soil characteristics, and cultivar descriptions. These data have been used in various previous agronomic and crop modeling studies. Assembled data are quality checked and supplied in Agricultural Model Inter-comparison and Improvement (AgMIP) format. Data access via DOI 10.7910/DVN/V4P6PU.

Published
2018-02-12
Section
Articles