ESTIMATING CORN YIELD RESPONSE MODELS TO PREDICT IMPACTS OF CLIMATE CHANGE

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dc.creatorDixon, Bruce L.
dc.creatorHollinger, Steven E.
dc.creatorGarcia, Philip
dc.creatorTirupattur, Viswanath
dc.date2017-04-01T19:55:34Z
dc.date.accessioned2026-07-09T04:12:17Z
dc.descriptionProjections of the impacts of climate change on agriculture require flexible and accurate yield response models. Typically, estimated yield response models have used fixed calendar intervals to measure weather variables and omitted observations on solar radiation, an essential determinant of crop yield. A corn yield response model for Illinois crop reporting districts is estimated using field data. Weather variables are time to crop growth stages to allow use of the model if climate change shifts dates of the crop growing season. Solar radiation is included. Results show this model is superior to conventionally specified models in explaining yield variation in Illinois corn.
dc.identifierdoi:10.22004/ag.econ.31229
dc.identifierhttps://ageconsearch.umn.edu/record/31229/files/19010058.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/31229
dc.identifier.urihttp://hdl.handle.net/123456789/546398
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/31229
dc.titleESTIMATING CORN YIELD RESPONSE MODELS TO PREDICT IMPACTS OF CLIMATE CHANGE
dc.typeText

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