ShiWei Xu
Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Intelligent Agricultural Early Warning Technology of Ministry of Agriculture, Key Laboratory of Intelligent Agricultural Early Warning Technology and System of Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Wen Yu
Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Intelligent Agricultural Early Warning Technology of Ministry of Agriculture, Key Laboratory of Intelligent Agricultural Early Warning Technology and System of Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Shu-Yun Liu
Technology Information Engineering Technology Research Center, Shandong Academy of Agricultural Science, 250100, Jinan, Shandong, China
A. Ahmed
Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Intelligent Agricultural Early Warning Technology of Ministry of Agriculture, Key Laboratory of Intelligent Agricultural Early Warning Technology and System of Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Yu Wang
Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Intelligent Agricultural Early Warning Technology of Ministry of Agriculture, Key Laboratory of Intelligent Agricultural Early Warning Technology and System of Chinese Academy of Agricultural Sciences, Beijing, 100081, China
ABSTRACT
To find out how the weather influences the winter wheat yield, the authors used the time series data from the years 1981-2009, such as rainfall and temperature. The simple linear regression model with trend was to be established to estimate the relation between yield and meteorological factors. According to the result, the temperature has positive influence except on sowing stage in October but rainfall have negative influence except during jointing stage in April. We could forecast the yield according to weather factors; based on the meteorological yield coefficients we also considered irrigation or film-covering to increase temperature so as to increase the wheat yield. This will give a theoretical basis for crop yield forecasting and the way to increase yield. In summary, this study could be used in the earlier warning for wheat yield.
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How to cite this article
ShiWei Xu, Wen Yu, Shu-Yun Liu, A. Ahmed and Yu Wang, 2013. Meteorological Impact on the Winter Wheat Yield in Weishan, China. Journal of Applied Sciences, 13: 2740-2743.
DOI: 10.3923/jas.2013.2740.2743
URL: https://scialert.net/abstract/?doi=jas.2013.2740.2743
DOI: 10.3923/jas.2013.2740.2743
URL: https://scialert.net/abstract/?doi=jas.2013.2740.2743