Data for modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0

  • Jose Rafael Guarin (Creator)
  • Jonas Jägermeyr (Creator)
  • Elizabeth A. Ainsworth (Creator)
  • Fabio A. A. Oliveira (Creator)
  • Senthold Asseng (Creator)
  • Kenneth Boote (Creator)
  • Joshua Elliott (Creator)
  • Lisa Dianne Emberson (Creator)
  • Ian Foster (Creator)
  • Gerrit Hoogenboom (Creator)
  • David J. Kelly (Creator)
  • Alex C. Ruane (Creator)
  • Katrina Sharps (Creator)
  • Jose Guarin (Contributor)

Dataset

Description

The observed and simulated ozone exposure-relative yield data and R code used to classify the maize, rice, soybean, and wheat cultivar ozone sensitivities as described in Guarin et al., 2023. The observed data are comprised of ozone exposure literature review data (Mills et al., 2018) combined with maize and soybean FACE experimental data (Betzelberger et al., 2012; Choquette et al., 2020) for a total of 9 maize cultivars, 50 rice cultivars, 49 soybean cultivars, and 23 wheat cultivars. The literature review data consists of ozone exposure experiments conducted in open-top chambers, experimental fields, or greenhouses and includes ozone exposure experiments that contributed to the widely applied Weibull ozone response function. The simulated data are from the Decision Support System for Agrotechnology Transfer (DSSAT) CERES-Maize, CERES-Rice, CROPGRO-Soybean, and NWheat crop models.

External deposit with Harvard Dataverse.
Date made available28 Aug 2023
PublisherHarvard Dataverse

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