Degree Type
Dissertation
Date of Award
1988
Degree Name
Doctor of Philosophy
Department
Economics
First Advisor
Stanley R. Johnson
Abstract
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.
DOI
https://doi.org/10.31274/rtd-180813-9307
Publisher
Digital Repository @ Iowa State University, http://lib.dr.iastate.edu/
Copyright Owner
David Russell Krog
Copyright Date
1988
Language
en
Proquest ID
AAI8825408
File Format
application/pdf
File Size
237 pages
Recommended Citation
Krog, David Russell, "Plant-process model corn yield forecasts for Iowa " (1988). Retrospective Theses and Dissertations. 9687.
https://lib.dr.iastate.edu/rtd/9687
