Pre-harvest Forecasting of County Wheat Yield and Wheat Quality Conditional on Weather Information

Wheat regression models that account for the effect of weather are developed to forecast wheat yield and quality. Spatial lag effects are included. Wheat yield, protein, and test weight level are strongly influenced by weather variables. The forecasting power of the yield and protein models was enhanced by adding the spatial lag effect. Out of sample forecasting tests confirm the models’ usefulness in accounting for the variations in average wheat yield and qualities.


Issue Date:
2011
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/98829
Total Pages:
44




 Record created 2017-04-01, last modified 2017-08-25

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