ArticleScientific data2026
Global Gridded Climate-Responsive Crop Selection: Sowing Dates and Crop Varieties in a Warming World.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Global Gridded Climate-Responsive Crop Selection: Sowing Dates and Crop Varieties in a Warming World.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Farmers face increasing challenges in maintaining stable crop production as climate change alters growing conditions through higher temperatures, variable rainfall, and extreme weather events. To adapt, farmers often select new crop varieties and adjust planting dates before changing crops, as these strategies involve lower costs and risks. To support assessments of future crop production under climate change, we developed a global gridded dataset that provides simulated yields and consumptive water use for multiple crop varieties and sowing dates for maize, soybean, winter wheat, spring wheat, and rice. The dataset is based on simulations with the WOrld FOod STudies crop growth model under five global climate models and three greenhouse gas concentration scenarios, at a spatial resolution of 0.5 by 0.5 degrees (~55 km at the equator), covering the years 1961 to 2100. It can help identify suitable crop varieties and planting dates that sustain yields and optimize water use. This dataset is intended for use in crop modelling, climate impact assessments, and agricultural adaptation planning.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.