干旱区生态环境知识资源中心(Arid): Revisiting crop water stress index based on potato field experiments in Northern Germany

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DOI	10.1016/j.agwat.2022.107664
	Revisiting crop water stress index based on potato field experiments in Northern Germany
	Ekinzog, Elmer Kanjo; Schlerf, Martin; Kraft, Martin; Werner, Florian; Riedel, Angela; Rock, Gilles; Mallick, Kaniska
通讯作者	Schlerf, M
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2022
卷号	269
英文摘要	Different types of the Crop Water Stress Index (CWSI) have been useful for water stress monitoring and irrigation management in semi-arid regions, however little research exists on its effective application in humid regions. This study aims to assess the effectiveness of three CWSI models (CWSIe -empirical, CWSIt -theoretical, CWSIh -hybrid) for crop water stress monitoring in an experimental field for potato crops in Northern Germany. Irri-gation experiments with three treatments (optimum-OP, reduced-RD and no) were conducted in the summer of 2018 and 2019. Continuous canopy temperatures (Tc) for OP and RD irrigation treatments together with meteorological measurements were used to derive CWSI from the different models. Additionally, Visible/near infrared (VNIR) and Thermal Infrared (TIR) drone images were collected on several days during the growing season to create CWSI maps. The different CWSI models were correlated with volumetric soil water content (theta) measurements for comparison and relationships were established between CWSI and theta for prediction. Results showed that CWSI accurately estimates soil water content under atmospheric conditions similar to those in semi -arid regions. The predictive performance of different CWSI models were fairly good (R-2 =0.57-0.63) (situation in 2019). CWSIe and CWSIh performed better than CWSIt. CWSI-theta relations calibrated in one year effectively predicted theta in another year with errors of 1.2-2.2% absolute soil water content. CWSIh could be a promising alternative to the traditional CWSI as it combines aspects of CWSIe (empirical upper limit) and of CWSIt (theoretical lower limit) which has advantages for operational use. Finally, the drone-based CWSI and theta maps (derived from the developed CWSI-theta relations) captured well the applied irrigation patterns and could help to decide when to irrigate and how much water to apply.
英文关键词	Stress detection Soil water content UAV Drone Humid regions Irrigation Hybrid CWSI
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000806362400002
WOS关键词	CANOPY TEMPERATURE ; INFRARED THERMOMETRY ; THERMAL IMAGERY ; TRANSPIRATION ; SOIL ; PERFORMANCE ; EVAPORATION ; INDICATOR ; MAIZE ; YIELD
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/2XILL650/391610
推荐引用方式 GB/T 7714	Ekinzog, Elmer Kanjo,Schlerf, Martin,Kraft, Martin,et al. Revisiting crop water stress index based on potato field experiments in Northern Germany[J],2022,269.
APA	Ekinzog, Elmer Kanjo.,Schlerf, Martin.,Kraft, Martin.,Werner, Florian.,Riedel, Angela.,...&Mallick, Kaniska.(2022).Revisiting crop water stress index based on potato field experiments in Northern Germany.AGRICULTURAL WATER MANAGEMENT,269.
MLA	Ekinzog, Elmer Kanjo,et al."Revisiting crop water stress index based on potato field experiments in Northern Germany".AGRICULTURAL WATER MANAGEMENT 269(2022).