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Pre-harvest forecasting of county wheat yield and wheat quality using weather information
- Lee, Byoung-Hoon;
- Kenkel, Phil;
- Brorsen, B. Wade
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WEB OF SCIENCE
40Citations
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42초록
County wheat yield and wheat quality are forecast using weather information. Regression models are estimated to account for the effect of weather on county wheat yield, protein, and test weight. The explanatory variables include precipitation and temperature for growing periods that correspond to biological wheat development stages. Wheat yield, protein, and test weight are strongly influenced by weather. The forecasting power of the yield and protein models is enhanced by adding a spatial lag effect. Out of sample forecasting tests confirm the models' usefulness in predicting wheat yield and wheat quality. (C) 2012 Elsevier B.V. All rights reserved.
키워드
Forecasting; Prediction; Protein; Test weight; Wheat; Yield; WINTER-WHEAT; MODELS; CLIMATE; CORN; PREDICTION; ASSUMPTIONS; TECHNOLOGY; CULTIVARS; NITROGEN; MAIZE
- 제목
- Pre-harvest forecasting of county wheat yield and wheat quality using weather information
- 저자
- Lee, Byoung-Hoon; Kenkel, Phil; Brorsen, B. Wade
- 발행일
- 2013-01-15
- 유형
- Article
- 권
- 168
- 페이지
- 26 ~ 35