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DOI:10.13522/j.cnki.ggps.2019297 |
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Modelling Oilrape Growth under Waterlogging in Yanjiang - Jiangnan Region in Anhui Province Using the AquaCrop Model |
WANG Xiaodong, YUE Wei, CHEN Jinhua, CHEN Xiaoyi
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1. Anhui Agricultural Meteorological Center, Hefei 230031, China; 2. Laboratory for Agrometeorological Disaster Assessment and Risk change of Anhui, Hefei 230031, China; 3. Anhui Meteorological Institute, Hefei 230031, China
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Abstract: |
【Background】Oilrape is a main oil crop grown in Anhui province due to the suitability of its climate. However, climate change and alternate occurrence of drought and waterlogging, especially during the flowering stage, could cause waterlogging and reduce the seed-setting rate significantly. Understanding the mechanisms underlying the response of oilrape to waterlogging is hence important to improve its agronomic management.【Objective】The purpose of this paper is to study the feasibility of the crop model AquaCrop model for simulating oilrape growth under waterlogging in Yanjiang - Jiangnan region, Anhui province.【Method】We first calibrated the model against data measured in a waterlogged experiment conducted in 2010—2013, using meteorological data and physiological parameters of the crop. The calibrated model was then verified against archived data measured from the same region.【Result】Results simulated using the AquaCrop model showed that the average absolute error between the simulated biomass and yield and the measured data was 328.1 kg/hm2 and 101.9 kg/hm2 respectively, with their associated relative errors being 6.3% and 6.8% respectively. The model performance index was 0.89 and 0.91, and the AquaCrop model accurately reproduced the change in biomass and yield of the oilrape under waterlogging stress during the monsoon season. In particular, the verification showed that the relative error of the AquaCrop model was 5.2%~8.1% against the data measured from the Xuancheng site, and 6.8%~11.2% against the data measured from other three sites at Chizhou, Dongzhi and Shexian.【Conclusion】The relative error in some simulations exceeded 10%, but, overall, the AquaCrop model accurately reproduced the growth of the oilrape under waterlogging during the monsoon season in Yanjiang - Jiangnan region, Anhui province. For most simulations, the errors of the simulated biomass and yield were less than 10%. In addition to crop growth, the model can also simulate soil moisture dynamics. |
Key words: AquaCrop model; oilrape; waterlogging stress; yield prediction |
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