Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function

Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function

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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Bibliographic Details
Main Authors: Wu, Xun, Shi, Jianchu, Zhang, Ting, Zuo, Qiang, Wang, Lichun, Xue, Xuzhang, Ben-Gal, Alon
Other Authors: National Natural Science Foundation of China
Format: artículo biblioteca
Language:English
Published: Elsevier 2022-08-01
Subjects:Crop-water production function, Root-weighted plant water deficit index, Cumulative function of water sensitivity index, Regulated deficit irrigation, Winter wheat,
Online Access:http://hdl.handle.net/10261/276613
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100001809
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id dig-ias-es-10261-276613
record_format koha
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 Crop-water production function
Root-weighted plant water deficit index
Cumulative function of water sensitivity index
Regulated deficit irrigation
Winter wheat
Crop-water production function
Root-weighted plant water deficit index
Cumulative function of water sensitivity index
Regulated deficit irrigation
Winter wheat
spellingShingle Crop-water production function
Root-weighted plant water deficit index
Cumulative function of water sensitivity index
Regulated deficit irrigation
Winter wheat
Crop-water production function
Root-weighted plant water deficit index
Cumulative function of water sensitivity index
Regulated deficit irrigation
Winter wheat
Wu, Xun
Shi, Jianchu
Zhang, Ting
Zuo, Qiang
Wang, Lichun
Xue, Xuzhang
Ben-Gal, Alon
Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function
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 Natural Science Foundation of China
author_facet National Natural Science Foundation of China
Wu, Xun
Shi, Jianchu
Zhang, Ting
Zuo, Qiang
Wang, Lichun
Xue, Xuzhang
Ben-Gal, Alon
format artículo
topic_facet Crop-water production function
Root-weighted plant water deficit index
Cumulative function of water sensitivity index
Regulated deficit irrigation
Winter wheat
author Wu, Xun
Shi, Jianchu
Zhang, Ting
Zuo, Qiang
Wang, Lichun
Xue, Xuzhang
Ben-Gal, Alon
author_sort Wu, Xun
title Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function
title_short Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function
title_full Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function
title_fullStr Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function
title_full_unstemmed Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function
title_sort crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function
publisher Elsevier
publishDate 2022-08-01
url http://hdl.handle.net/10261/276613
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100001809
work_keys_str_mv AT wuxun cropyieldestimationandirrigationschedulingoptimizationusingarootweightedsoilwateravailabilitybasedwaterproductionfunction
AT shijianchu cropyieldestimationandirrigationschedulingoptimizationusingarootweightedsoilwateravailabilitybasedwaterproductionfunction
AT zhangting cropyieldestimationandirrigationschedulingoptimizationusingarootweightedsoilwateravailabilitybasedwaterproductionfunction
AT zuoqiang cropyieldestimationandirrigationschedulingoptimizationusingarootweightedsoilwateravailabilitybasedwaterproductionfunction
AT wanglichun cropyieldestimationandirrigationschedulingoptimizationusingarootweightedsoilwateravailabilitybasedwaterproductionfunction
AT xuexuzhang cropyieldestimationandirrigationschedulingoptimizationusingarootweightedsoilwateravailabilitybasedwaterproductionfunction
AT bengalalon cropyieldestimationandirrigationschedulingoptimizationusingarootweightedsoilwateravailabilitybasedwaterproductionfunction
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spelling dig-ias-es-10261-2766132022-08-25T02:25:59Z Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function Wu, Xun Shi, Jianchu Zhang, Ting Zuo, Qiang Wang, Lichun Xue, Xuzhang Ben-Gal, Alon National Natural Science Foundation of China National Key Research and Development Program (China) European Commission Crop-water production function Root-weighted plant water deficit index Cumulative function of water sensitivity index Regulated deficit irrigation Winter wheat 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). The crop-water production function (CWPF) is widely used to quantitatively describe relationships between crop water deficit and yield, and evaluate the effects of different irrigation strategies in agro-hydrological models. In order to reasonably and reliably estimate crop yield and optimize irrigation scheduling, a novel CWPF was proposed by combining the plant water deficit index (PWDI), estimated based on root-weighted soil water availability, with a daily water sensitivity index derived from a sigmoidal cumulative function. Parameterized using data from a two-year winter wheat field lysimetric experiment conducted in the North China Plain and from a previously published two-year spring maize field drip irrigation experiment in Inner Mongolia, China, the CWPFs provided reasonable estimation of different crop yields with different water stress response characteristics under different field environments. Through coupling the genetic algorithm with the integrated simulations of soil water dynamics, PWDI and CWPF in the soil-wheat system, an optimization procedure was developed to determine PWDI threshold combinations to timely trigger irrigation according to pre-designed crop water deficit status. Crop yield and water use efficiency (WUE) of winter wheat were estimated and compared under different optimized constant and variable PWDI threshold combinations. In addition, the effects of climate change on the optimized variable PWDI threshold combinations were investigated using 38 years of historic meteorological data. The results showed that regulated deficit irrigation (RDI) with a variable threshold combination, in which the sensitivity characteristics to water deficit were considered for the crop at different growth stages, was superior to a constant threshold in enhancing crop yield and WUE. Irrespective of the number of irrigation events (1, 2, 3 or 4) during the growing season, the coefficients of variation (CV) of optimized PWDI thresholds for different combinations of irrigation sequence and events were not very large under the same kind of hydrological year (wet, normal or dry), with CV < 0.39 and a median of 0.21. When the mean (MN) of the optimized PWDI threshold combinations for different irrigation sequence and events was used to schedule RDI of winter wheat in terms of various hydrological years, up to 91% of the estimated relative yield was found to be higher than 90% of the corresponding maximum values. Therefore, the MN can be valuable in formulating rational irrigation management strategies of winter wheat to achieve relatively high yields with limited water under changing climatic conditions. This research was supported partly by National Natural Science Foundation of China (U1706211, 51790532), National Key Research and Development Program of China (2017YFE0118100), and the European Union's Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed 2022-08-24T11:03:42Z 2022-08-24T11:03:42Z 2022-08-01 artículo Field Crops Research 284: 108579 (2022) 0378-4290 http://hdl.handle.net/10261/276613 10.1016/j.fcr.2022.108579 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.fcr.2022.108579 No embargo_20240801 application/pdf Elsevier

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