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Predicted maize yields under different adaptation strategies and climate change scenarios

dataset
posted on 2024-11-06, 21:38 authored by Role Schnable Lab AdministratorRole Schnable Lab Administrator, Patrick Schnable, Aaron Kusmec

These are processed datasets of historical maize yield trials conducted in 1934-2014 in Illinois, Iowa, Kansas, and Nebraska with associated data on time exposed to different temperatures and total precipitation derived from public climate data sources. Coefficients and performance statistics for predictive models of historical maize yields based on these data are included. Additional processed climate data is provided for five models from the CMIP6 ensemble run under historical and three different climate forcing scenarios. Maize yields predicted using the historical models and simulated climate data are also provided.

Funding

This work was supported by National Institute of Food and Agriculture (IOW04714), USDA Agriculture and Food Research Initiative (2017-67007-26175), and Division of Integrative Organismal Systems (IOS-1842097).

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