Jin Xiu-liang, Feng Hai-kuan, Zhu Xin-kai, Li Zhen-hai, Song Sen-nan, Song Xiao-yu, Yang Gui-Jun, Xu Xin-gang, Guo Wen-shan
Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou, China ; Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China ; National Engineering Research Center for Information Technology in Agriculture, Beijing, China.
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China ; National Engineering Research Center for Information Technology in Agriculture, Beijing, China.
PLoS One. 2014 Jan 28;9(1):e86938. doi: 10.1371/journal.pone.0086938. eCollection 2014.
Improving winter wheat water use efficiency in the North China Plain (NCP), China is essential in light of current irrigation water shortages. In this study, the AquaCrop model was used to calibrate, and validate winter wheat crop performance under various planting dates and irrigation application rates. All experiments were conducted at the Xiaotangshan experimental site in Beijing, China, during seasons of 2008/2009, 2009/2010, 2010/2011 and 2011/2012. This model was first calibrated using data from 2008/2009 and 2009/2010, and subsequently validated using data from 2010/2011 and 2011/2012. The results showed that the simulated canopy cover (CC), biomass yield (BY) and grain yield (GY) were consistent with the measured CC, BY and GY, with corresponding coefficients of determination (R(2)) of 0.93, 0.91 and 0.93, respectively. In addition, relationships between BY, GY and transpiration (T), (R(2) = 0.57 and 0.71, respectively) was observed. These results suggest that frequent irrigation with a small amount of water significantly improved BY and GY. Collectively, these results indicate that the AquaCrop model can be used in the evaluation of various winter wheat irrigation strategies. The AquaCrop model predicted winter wheat CC, BY and GY with acceptable accuracy. Therefore, we concluded that AquaCrop is a useful decision-making tool for use in efforts to optimize wheat winter planting dates, and irrigation strategies.
鉴于当前灌溉用水短缺的情况,提高中国华北平原冬小麦的水分利用效率至关重要。在本研究中,使用AquaCrop模型对不同播种日期和灌溉施用量下的冬小麦作物表现进行了校准和验证。所有试验于2008/2009、2009/2010、2010/2011和2011/2012季节在中国北京的小汤山试验场进行。该模型首先使用2008/2009和2009/2010的数据进行校准,随后使用2010/2011和2011/2012的数据进行验证。结果表明,模拟的冠层覆盖度(CC)、生物量产量(BY)和籽粒产量(GY)与实测的CC、BY和GY一致,相应的决定系数(R²)分别为0.93、0.91和0.93。此外,还观察到BY、GY与蒸腾作用(T)之间的关系(R²分别为0.57和0.71)。这些结果表明,少量水的频繁灌溉显著提高了BY和GY。总体而言,这些结果表明AquaCrop模型可用于评估各种冬小麦灌溉策略。AquaCrop模型预测冬小麦的CC、BY和GY具有可接受的准确性。因此,我们得出结论,AquaCrop是一种有用的决策工具,可用于优化冬小麦播种日期和灌溉策略。