干旱区生态环境知识资源中心(Arid): Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT

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DOI	10.1016/j.agrformet.2020.107928
	Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT
	Chen, Shang; Jiang, Tengcong; Ma, Haijiao; He, Chuan; Xu, Fang; Malone, Robert W.; Feng, Hao; Yu, Qiang; Siddique, Kadambot H. M.; Dong, Qin'ge; He, Jianqiang
通讯作者	Dong, QG
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2020
卷号	285
英文摘要	Current water consumptions are unsustainable in many regions, which requiring more efficient agricultural water management strategies. This study incorporated the DSSAT-CERES-Maize model with a new algorithm for dynamic within-season irrigation scheduling for maize (Zea mays L.) based on trends in daily forecasted yields. Field experiments were undertaken at four arid and semiarid sites in Northwest China, including Changwu (2010 and 2011, rainfed), Yangling (2014 and 2015, irrigated), Jingyang (2015, irrigated), and Shiyanghe (2015, irrigated). Historical 50-year (1968-2017) weather data were available for each site. In daily yield forecasts, weather data before forecast dates were observed from local weather stations, while the unknown data between forecast and harvest dates were supplemented by local 50-year continuous weather series in the same periods. Then 50 maize yields could be obtained on each forecast day, and the median values were calculated as the prediction on that day. As the growing season advanced, historical weather data were gradually replaced by actual weather data. Further, the dynamics of daily forecasted yields were used to schedule irrigation based on a new algorithm. The new algorithm schedule irrigations by considering the feedbacks of maize grain yield to interactions of actual weather, environment, and management. The results showed that forecasted maize yield had considerable uncertainty before tasseling but rapidly converged to the actual yield about one month before harvest. The mean absolute relative errors (MAREs) of daily forecasted yields were 11.7% and 7.3% at Changwu in 2010 and 2011, respectively. Simulated irrigation use efficiency (IUE) for almost all sites and years were improved. The new irrigation scheduling algorithm will help to improve irrigation scheduling in arid and semiarid areas where precipitation is the main limited factor to maize yield.
英文关键词	Crop model CERES-Maize Irrigation scheduling Meteorology, Yield forecast
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000525819500011
WOS关键词	WATER-USE EFFICIENCY ; CERES-MAIZE ; DEFICIT IRRIGATION ; GROWTH SIMULATION ; DECISION-SUPPORT ; MODEL ; WHEAT ; CORN ; EVAPOTRANSPIRATION ; PARAMETERS
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
来源机构	西北农林科技大学 ; University of Western Australia
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324339
作者单位	[Chen, Shang; Feng, Hao; Yu, Qiang; He, Jianqiang] Northwest A&F Univ, Inst Water & Soil Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China; [Chen, Shang; Jiang, Tengcong; Ma, Haijiao; He, Chuan; Xu, Fang; He, Jianqiang] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid Area, Minist Educ, Yangling 712100, Shaanxi, Peoples R China; [Chen, Shang; Jiang, Tengcong; Ma, Haijiao; He, Chuan; Xu, Fang; Feng, Hao; He, Jianqiang] Northwest A&F Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi, Peoples R China; [Malone, Robert W.] USDA ARS, Natl Lab Agr & Environm, Ames, IA USA; [Siddique, Kadambot H. M.] Univ Western Australia, UWA Inst Agr & Sch Agr & Environm, LB 5005, Perth, WA 6001, Australia; [Dong, Qin'ge] Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Chen, Shang,Jiang, Tengcong,Ma, Haijiao,et al. Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT[J]. 西北农林科技大学, University of Western Australia,2020,285.
APA	Chen, Shang.,Jiang, Tengcong.,Ma, Haijiao.,He, Chuan.,Xu, Fang.,...&He, Jianqiang.(2020).Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT.AGRICULTURAL AND FOREST METEOROLOGY,285.
MLA	Chen, Shang,et al."Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT".AGRICULTURAL AND FOREST METEOROLOGY 285(2020).