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).
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Format: | artículo biblioteca |
Language: | English |
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Elsevier
2021-04-01
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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 |
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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 |
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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 |
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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 |
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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). |
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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 |
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