干旱区生态环境知识资源中心(Arid): Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate

Arid

DOI	10.1016/j.agwat.2020.106139
	Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate
	Chen, Xiaoping 1,2,3,4; Qi, Zhiming 1,2,3,4; Gui, Dongwei 1,2,3; Sima, Matthew W.5; Zeng, Fanjiang1,2,3 ; Li, Lanhai 1,3; Li, Xiangyi 1,2,3; Gu, Zhe 6
通讯作者	Qi, Zhiming
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2020
卷号	234
英文摘要	Optimizing irrigation scheduling through a Decision Support System has shown promise to improve crop yield and water productivity in irrigated agriculture in an arid climate. The effects of an irrigation scheduling method on cotton (Gossypium hirsutum L.) yield and water productivity were investigated in Qira Oasis, China from 2016-2018. The Decision Support System for Irrigation Scheduling (DSSIS) was based on forecasted rainfall and water stress index simulated by the Root Zone Water Quality Model (RZWQM2). A field experiment was conducted to test the viability of the DSSIS in 2016. The design of the experiment was a randomized complete that included two factors and two levels for each factor: (i) irrigation scheduling method-DSSIS-based (DSS) and soil moisture sensor-based (SMS), and (ii) irrigation level-full irrigation (FI) and deficit irrigation (DI, 75 % of FI). Implementation of the DSS led to significant increases in seed cotton yield [1.05 Mg ha(-1) (32 %)] and water productivity [1.64 kg ha(-1) mm(-1) (20 %)] compared to the SMS. Compared to DI, FI significantly increased cotton yield [0.69 Mg ha(-1) (20 %)] but had no significant effect on water productivity. In general, the higher water productivity under DSS (vs. SMS) was attributed to the reduced water stress and increased seed cotton yield. While the DSS-FI treatment provided the greatest seed cotton yield (4.55 Mg ha(-1)) and net income (US $3427 ha(-1)), the highest water productivity (10.09 kg ha(-1) mm(-1)) was achieved under the DSS-DI treatment. Water use under DSS-DI treatment significantly decreased by 51 mm (10 %) and 23 mm (5 %), respectively, compared to DSS-FI and SMS-FI treatments. Therefore, our results demonstrated that the DSS with deficit irrigation could maintain cotton yield and improve water productivity under an arid desert climate.
英文关键词	DSSIS RZWQM2 model Water use Water stress index Arid climate
类型	Article
语种	英语
国家	Peoples R China ; Canada ; USA
收录类别	SCI-E
WOS记录号	WOS:000525293700023
WOS关键词	DRIP IRRIGATION ; SOIL-MOISTURE ; DEFICIT IRRIGATION ; CANOPY TEMPERATURE ; MAIZE PRODUCTION ; SPRING WHEAT ; WINTER-WHEAT ; RIVER-BASIN ; MODEL ; MANAGEMENT
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
来源机构	中国科学院新疆生态与地理研究所 ; 河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/313970
作者单位	1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; 2.Cele Natl Stn Observat & Res Desert Grassland Eco, Cele 848300, Xinjiang, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 4.McGill Univ, Dept Bioresource Engn, Ste Anne De Bellevue, PQ, Canada; 5.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA; 6.Hohai Univ, Coll Agr Engn, 1 Xikang Rd, Nanjing 210098, Peoples R China
推荐引用方式 GB/T 7714	Chen, Xiaoping,Qi, Zhiming,Gui, Dongwei,et al. Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate[J]. 中国科学院新疆生态与地理研究所, 河海大学,2020,234.
APA	Chen, Xiaoping.,Qi, Zhiming.,Gui, Dongwei.,Sima, Matthew W..,Zeng, Fanjiang.,...&Gu, Zhe.(2020).Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate.AGRICULTURAL WATER MANAGEMENT,234.
MLA	Chen, Xiaoping,et al."Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate".AGRICULTURAL WATER MANAGEMENT 234(2020).