Paper
1 September 2017 Quantifying potential yield and water-limited yield of summer maize in the North China Plain
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Abstract
The North China Plain is a major food producing region in China, and climate change could pose a threat to food production in the region. Based on China Meteorological Forcing Dataset, simulating the growth of summer maize in North China Plain from 1979 to 2015 with the regional implementation of crop growth model WOFOST. The results showed that the model can reflect the potential yield and water-limited yield of Summer Maize in North China Plain through the calibration and validation of WOFOST model. After the regional implementation of model, combined with the reanalysis data, the model can better reproduce the regional history of summer maize yield in the North China Plain. The yield gap in Southeastern Beijing, southern Tianjin, southern Hebei province, Northwestern Shandong province is significant, these means the water condition is the main factor to summer maize yield in these regions.
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Mingnuo Jiang, Chaoshun Liu, and Maosi Chen "Quantifying potential yield and water-limited yield of summer maize in the North China Plain", Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 1040514 (1 September 2017); https://doi.org/10.1117/12.2273393
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KEYWORDS
Data modeling

Agriculture

Yield improvement

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