Pre-harvest forecasting of county wheat yield and wheat quality using weather information

Citations

WEB OF SCIENCE

40
Citations

SCOPUS

42

초록

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

ForecastingPredictionProteinTest weightWheatYieldWINTER-WHEATMODELSCLIMATECORNPREDICTIONASSUMPTIONSTECHNOLOGYCULTIVARSNITROGENMAIZE
제목
Pre-harvest forecasting of county wheat yield and wheat quality using weather information
저자
Lee, Byoung-HoonKenkel, PhilBrorsen, B. Wade
DOI
10.1016/j.agrformet.2012.08.010
발행일
2013-01-15
유형
Article
저널명
Agricultural and Forest Meteorology
168
페이지
26 ~ 35