干旱区生态环境知识资源中心(Arid): Simulation modeling for effective management of irrigation water for winter wheat

Arid

DOI	10.1016/j.agwat.2022.107720
	Simulation modeling for effective management of irrigation water for winter wheat
	Shen, Hongzheng; Wang, Yue; Jiang, Kongtao; Li, Shilei; Huang, Donghua; Wu, Jiujiang; Wang, Yongqiang; Wang, Yangren; Ma, Xiaoyi
通讯作者	Ma, XY
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2022
卷号	269
英文摘要	Lack of water resources, low irrigation efficiency, and inappropriate irrigation decisions severely restrict agricultural production in arid and semi-arid regions. Therefore, rapid and accurate decision-making regarding crop irrigation in real time is necessary. This study optimized irrigation scheduling by using information on different meteorological years and obtained the average soil water content (0-60 cm) before each irrigation, the corresponding irrigation time, and the water available for irrigation. The relative development speed of winter wheat and the amount of water available for irrigation were considered, and a dynamic irrigation water limit model was constructed. Winter wheat field experiments over 3 years (2016-2019) were followed by an evaluation of the regional applicability of the decision support system for the agrotechnology transfer model. A long short-term memory network effectively predicted air temperature and solar radiation; the R-2 and root mean square error values were 0.802-0.964% and 12.53-23.9%, respectively. Public weather forecasts can be used to accurately predict rainfall, with 87.3% and 57% accuracy rates for forecasts of no rain and rain, respectively. Compared with traditional irrigation, the use of this dynamic irrigation lower limit for irrigation forecasting can increase yield and attendant net benefits. When two and three irrigation treatments were applied during the winter wheat growth period, the 3-year average yield increased by 10.3% and 4.4%, respectively, and the net benefit increased by 19.1% and 7.4%, respectively. The proposed method avoids relying on only field experiments to determine the irrigation lower limit and allows for the effective implementation of optimized irrigation schedules and the dynamic correction of irrigation plans in arid and semi-arid areas.
英文关键词	Dynamic irrigation lower limit DSSAT model Long short-term memory network Winter wheat Irrigation decision
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000876568300004
WOS关键词	DEFICIT IRRIGATION ; CERES-WHEAT ; GROWTH ; MAIZE ; YIELD ; CLIMATE ; FUTURE ; FIELD
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391609
推荐引用方式 GB/T 7714	Shen, Hongzheng,Wang, Yue,Jiang, Kongtao,et al. Simulation modeling for effective management of irrigation water for winter wheat[J],2022,269.
APA	Shen, Hongzheng.,Wang, Yue.,Jiang, Kongtao.,Li, Shilei.,Huang, Donghua.,...&Ma, Xiaoyi.(2022).Simulation modeling for effective management of irrigation water for winter wheat.AGRICULTURAL WATER MANAGEMENT,269.
MLA	Shen, Hongzheng,et al."Simulation modeling for effective management of irrigation water for winter wheat".AGRICULTURAL WATER MANAGEMENT 269(2022).