Plant-process model corn yield forecasts for Iowa

dc.contributor.advisor Stanley R. Johnson Krog, David
dc.contributor.department Economics 2018-08-17T01:14:13.000 2020-07-02T06:15:02Z 2020-07-02T06:15:02Z Fri Jan 01 00:00:00 UTC 1988 1988
dc.description.abstract <p>The objective was to develop a plant-process corn yield forecasting model and examine how effective these forecasts might be in improving corn yield forecasts made at the state and crop reporting district level in Iowa. This study was conducted in light of recent budget cuts by the National Agricultural Statistics Service (NASS) and elimination of the reporting of district corn yield forecasts in Iowa;Results indicated that district and state plant-process model (PPM) corn yield forecasts perform well compared to NASS forecasts in August and September but not very well in October and November. Also, the PPM forecasts did not perform well in the southern districts of Iowa. The PPM does not appear to be a comparable substitute for past NASS district corn yield forecasts;Combining PPM and NASS forecasts gives composite yield forecasts that are superior to both PPM and NASS forecasts, especially for the August forecast. At this stage in development, therefore, the usefulness of PPM forecasts would come from supplementing NASS sample yield information.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 10686
dc.identifier.contextkey 6366491
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/9687
dc.language.iso en
dc.source.bitstream archive/|||Sat Jan 15 02:36:10 UTC 2022
dc.subject.disciplines Agricultural and Resource Economics
dc.subject.disciplines Agricultural Economics
dc.subject.disciplines Agriculture
dc.subject.keywords Agriculture--Economic aspects
dc.subject.keywords Economics
dc.title Plant-process model corn yield forecasts for Iowa
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 4c5aa914-a84a-4951-ab5f-3f60f4b65b3d dissertation Doctor of Philosophy
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