Author Information

Fatu Bigsby

Abstract

Data from the Corn Ear Weight Study were used to analyze the forecast performance of models estimated using surface area and volune measurements to predict corn ear weight. Two models based on research measurements were compared to models estimated using the operational procedures from the Corn Objective Yield Survey. Research and operational models were estimated both within and across years using data from the 1986 and 1987 Michigan Corn Ear Weight Study. Results show that research models based on surface area and volune measurements have mean square errors that are 32 to 52 percent lower than models estimated using the operational procedure. The differences between forecast errors of the research and operational models are statistically significant.

Keywords

corn; objective yield; ear weight; volune; surface area; forecast error.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Share

COinS
 
Apr 30th, 3:45 PM

FORECASTING CORN EAR WEIGHT USING SURFACE AREA AND VOLUME MEASUREMENTS: A PRELIMINARY REPORT

Data from the Corn Ear Weight Study were used to analyze the forecast performance of models estimated using surface area and volune measurements to predict corn ear weight. Two models based on research measurements were compared to models estimated using the operational procedures from the Corn Objective Yield Survey. Research and operational models were estimated both within and across years using data from the 1986 and 1987 Michigan Corn Ear Weight Study. Results show that research models based on surface area and volune measurements have mean square errors that are 32 to 52 percent lower than models estimated using the operational procedure. The differences between forecast errors of the research and operational models are statistically significant.