ICAR Research Data Repository for Knowledge Management
Data for modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Data for modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0
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| Identifier |
https://doi.org/10.7910/DVN/0NN9MH
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| Creator |
Guarin, Jose Rafael
Jägermeyr, Jonas Ainsworth, Elizabeth A. Oliveira, Fabio A. A. Asseng, Senthold Boote, Kenneth Elliott, Joshua Emberson, Lisa Foster, Ian Hoogenboom, Gerrit Kelly, David Ruane, Alex C. Sharps, Katrina |
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| Publisher |
Harvard Dataverse
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| 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.
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| Subject |
Agricultural Sciences
crop model ozone |
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| Language |
English
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| Date |
2023-08-28
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| Contributor |
Guarin, Jose
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| Type |
Experimental and simulated data
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