Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency

Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency

Project Co-ordinators: Dr. Jose Alfonso Gómez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiación del proyecto “Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems” (773903), coordinado por José Alfonso Gómez Calero, investigador del Instituto de Agricultura Sostenible (IAS).

Saved in:
Bibliographic Details
Main Authors: Shi, Jianchu, Wu, Xun, Zhang, Mo, Wang, Xiaoyu, Zuo, Qiang, Wu, Xiaoguang, Zhang, Hongfei, Ben-Gal, Alon
Other Authors: National Key Research and Development Program (China)
Format: artículo biblioteca
Language:English
Published: Elsevier 2021-04-01
Subjects:Irrigation scheduling, Decision support system, Crop growth, Soil water transport, Regulated deficit irrigation,
Online Access:http://hdl.handle.net/10261/276620
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100001809
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-ias-es-10261-276620
record_format koha
spelling dig-ias-es-10261-2766202022-08-25T02:26:11Z Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency Shi, Jianchu Wu, Xun Zhang, Mo Wang, Xiaoyu Zuo, Qiang Wu, Xiaoguang Zhang, Hongfei Ben-Gal, Alon National Key Research and Development Program (China) National Natural Science Foundation of China European Commission Irrigation scheduling Decision support system Crop growth Soil water transport Regulated deficit irrigation Project Co-ordinators: Dr. Jose Alfonso Gómez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiación del proyecto “Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems” (773903), coordinado por José Alfonso Gómez Calero, investigador del Instituto de Agricultura Sostenible (IAS). Knowledge-driven "smart" irrigation proposes to achieve explicitly targeted crop yield and/or irrigation water use efficiency (WUE). A coupled crop growth and soil water transport model was established and applied to schedule irrigation for drip-irrigated and film-mulched maize through numerical simulation. By designing various scenarios with either a constant or variable threshold of plant water deficit index (PWDI) to initiate irrigation, the quantitative relationship between PWDI threshold and the corresponding yield and WUE was investigated with acceptable errors between the measured and simulated values (R2 > 0.85). The model allowed determination of PWDI thresholds designed to reach specific combinations of yield and WUE to consider actual conditions such as availability and cost of water resources. Regulated deficit irrigation with a variable threshold, considering variability of physiological response to water stress, was superior to a constant PWDI threshold in improving WUE. A constant PWDI threshold of 0.54 and 45 threshold combinations among various growth stages were suggested to obtain same relative values of yield and WUE. Numerical simulation has the potential to provide reliable dynamic information regarding soil water and crop growth, necessary for smart irrigation scheduling, due to its ability in integrating the effects of environmental conditions and economic considerations and, as such, should be further studied to enhance simulation accuracy and subsequently to optimize irrigation scheduling under complex situations. This research was supported partly by National Key Research and Development Program of China (2016YFD0200303, 2017YFE0118100), National Natural Science Foundation of China (U1706211, 51790532), Special Fund for Scientific Research in the Public Interest (201411009), and the European Union’s Horizon 2020 Research and Innovation Programme under Project SHui, grant agreement No 773903. Peer reviewed 2022-08-24T11:22:44Z 2022-08-24T11:22:44Z 2021-04-01 artículo Agricultural Water Management 248: 106774 (2021) 0378-3774 http://hdl.handle.net/10261/276620 10.1016/j.agwat.2021.106774 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100001809 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/773903 Postprint https://doi.org/10.1016/j.agwat.2021.106774 No embargo_20230401 application/pdf Elsevier
institution IAS ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ias-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IAS España
language English
topic Irrigation scheduling
Decision support system
Crop growth
Soil water transport
Regulated deficit irrigation
Irrigation scheduling
Decision support system
Crop growth
Soil water transport
Regulated deficit irrigation
spellingShingle Irrigation scheduling
Decision support system
Crop growth
Soil water transport
Regulated deficit irrigation
Irrigation scheduling
Decision support system
Crop growth
Soil water transport
Regulated deficit irrigation
Shi, Jianchu
Wu, Xun
Zhang, Mo
Wang, Xiaoyu
Zuo, Qiang
Wu, Xiaoguang
Zhang, Hongfei
Ben-Gal, Alon
Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency
description Project Co-ordinators: Dr. Jose Alfonso Gómez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiación del proyecto “Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems” (773903), coordinado por José Alfonso Gómez Calero, investigador del Instituto de Agricultura Sostenible (IAS).
author2 National Key Research and Development Program (China)
author_facet National Key Research and Development Program (China)
Shi, Jianchu
Wu, Xun
Zhang, Mo
Wang, Xiaoyu
Zuo, Qiang
Wu, Xiaoguang
Zhang, Hongfei
Ben-Gal, Alon
format artículo
topic_facet Irrigation scheduling
Decision support system
Crop growth
Soil water transport
Regulated deficit irrigation
author Shi, Jianchu
Wu, Xun
Zhang, Mo
Wang, Xiaoyu
Zuo, Qiang
Wu, Xiaoguang
Zhang, Hongfei
Ben-Gal, Alon
author_sort Shi, Jianchu
title Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency
title_short Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency
title_full Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency
title_fullStr Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency
title_full_unstemmed Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency
title_sort numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency
publisher Elsevier
publishDate 2021-04-01
url http://hdl.handle.net/10261/276620
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100001809
work_keys_str_mv AT shijianchu numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
AT wuxun numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
AT zhangmo numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
AT wangxiaoyu numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
AT zuoqiang numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
AT wuxiaoguang numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
AT zhanghongfei numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
AT bengalalon numericallyschedulingplantwaterdeficitindexbasedsmartirrigationtooptimizecropyieldandwateruseefficiency
_version_ 1777663368068333568

Similar Items