干旱区生态环境知识资源中心(Arid): Plant water deficit index-based irrigation under conditions of salinity

Arid

DOI	10.1016/j.agwat.2022.107669
	Plant water deficit index-based irrigation under conditions of salinity
	Liu, Lining; Wang, Tianshu; Wang, Lichun; Wu, Xun; Zuo, Qiang; Shi, Jianchu; Sheng, Jiandong; Jiang, Pingan; Chen, Quanjia; Ben-Gal, Alon
通讯作者	Shi, JC
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2022
卷号	269
英文摘要	In arid and semi-arid regions, water scarcity and soil salinization are major factors impacting sustainable agricultural production. In this study, a macroscopic root-water-uptake model was used to adapt a plant water deficit index (PWDI) for irrigation scheduling under conditions of coexisting soil water and salinity stress-causing factors. The traditional approach, estimating PWDI with average root zone soil water and salt amounts, was improved by weighting the effects of soil water and salinity according to the normalized root length density profile. An experiment growing wheat (Triticum aestivum L.) in soil columns and an experiment growing cotton (Gossypium hirsutum L.) in a salinized field were implemented to explore and quantify the effects of soil water and salinity conditions on plant water status, and thus to validate the improvement and evaluate its application, by monitoring soil water and salinity dynamics and plant growth indexes (e.g., leaf area, dry weight, leaf water potential, transpiration and yield). The results indicate that, even under conditions with equal root zone averages of soil matric and osmotic potentials, plant water status might be significantly different. In general, plants were less stressed when more water and less salinity were allocated in the upper root zone with more roots while less water and more salinity occurred in the lower root zone with less roots. By referring to some information in the soil column experiment, a numerical experiment was conducted to further demonstrate the improvement. The root-weighted approach resulted in improved PWDI estimation and thus was more reliable for irrigation scheduling, leading to higher irrigation frequency and quantity, leaf area index, biomass, yield, and transpiration, without significant decrease in water productivity. However, further improvement could be possible by considering the effects of historical soil water and salinity stresses as well as meteorological conditions on plant water status.
英文关键词	Root distribution Soil water Soil salinity Plant water deficiency Irrigation scheduling Data driven irrigation management
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001122565100005
WOS关键词	ROOT LENGTH DENSITY ; USE EFFICIENCY ; DROUGHT-STRESS ; WINTER-WHEAT ; GAS-EXCHANGE ; UPTAKE MODEL ; SALT STRESS ; SOIL ; SIMULATION ; COTTON
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/2XILL650/391618
推荐引用方式 GB/T 7714	Liu, Lining,Wang, Tianshu,Wang, Lichun,et al. Plant water deficit index-based irrigation under conditions of salinity[J],2022,269.
APA	Liu, Lining.,Wang, Tianshu.,Wang, Lichun.,Wu, Xun.,Zuo, Qiang.,...&Ben-Gal, Alon.(2022).Plant water deficit index-based irrigation under conditions of salinity.AGRICULTURAL WATER MANAGEMENT,269.
MLA	Liu, Lining,et al."Plant water deficit index-based irrigation under conditions of salinity".AGRICULTURAL WATER MANAGEMENT 269(2022).