Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation

This article belongs to the Special Issue Modelling and Management of Irrigation System.

Bibliographic Details
Authors: García Vila, Margarita, Morillo-Velarde, Rodrigo, Fereres Castiel, Elías
Format: article
Status:Published version
Publication Date:2019
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/205841
Online Access:http://hdl.handle.net/10261/205841
Access Level:Open access
Keyword:Modelling
AquaCrop
Calibration
Sugar beet
Irrigation water allocation
Water productivity
id ES_d9bb4980f908e9d65d2a145c5a5f098e
oai_identifier_str oai:digital.csic.es:10261/205841
network_acronym_str ES
network_name_str España
repository_id_str
spelling Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocationGarcía Vila, MargaritaMorillo-Velarde, RodrigoFereres Castiel, ElíasModellingAquaCropCalibrationSugar beetIrrigation water allocationWater productivityThis article belongs to the Special Issue Modelling and Management of Irrigation System.Process-based crop models such as AquaCrop are useful for a variety of applications but must be accurately calibrated and validated. Sugar beet is an important crop that is grown in regions under water scarcity. The discrepancies and uncertainty in past published calibrations, together with important modifications in the program, deemed it necessary to conduct a study aimed at the calibration of AquaCrop (version 6.1) using the results of a single deficit irrigation experiment. The model was validated with additional data from eight farms differing in location, years, varieties, sowing dates, and irrigation. The overall performance of AquaCrop for simulating canopy cover, biomass, and final yield was accurate (RMSE = 11.39%, 2.10 t ha−1, and 0.85 t ha−1, respectively). Once the model was properly calibrated and validated, a scenario analysis was carried out to assess the crop response in terms of yield and water productivity to different irrigation water allocations in the two main production areas of sugar beet in Spain (spring and autumn sowing). The results highlighted the potential of the model by showing the important impact of irrigation water allocation and sowing time on sugar beet production and its irrigation water productivity.AIMCRA and the H2020 SHui project (Project number: 773903) funded this research.Peer reviewedMultidisciplinary Digital Publishing InstituteEuropean CommissionAsociación de investigación para la mejora del cultivo de la remolacha azucarera (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/205841reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/773903https://doi.org/10.3390/w11091918Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2058412026-05-22T06:33:51Z
dc.title.none.fl_str_mv Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
title Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
spellingShingle Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
García Vila, Margarita
Modelling
AquaCrop
Calibration
Sugar beet
Irrigation water allocation
Water productivity
title_short Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
title_full Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
title_fullStr Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
title_full_unstemmed Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
title_sort Modeling sugar beet responses to irrigation with AquaCrop for optimizing water allocation
dc.creator.none.fl_str_mv García Vila, Margarita
Morillo-Velarde, Rodrigo
Fereres Castiel, Elías
author García Vila, Margarita
author_facet García Vila, Margarita
Morillo-Velarde, Rodrigo
Fereres Castiel, Elías
author_role author
author2 Morillo-Velarde, Rodrigo
Fereres Castiel, Elías
author2_role author
author
dc.contributor.none.fl_str_mv European Commission
Asociación de investigación para la mejora del cultivo de la remolacha azucarera (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Modelling
AquaCrop
Calibration
Sugar beet
Irrigation water allocation
Water productivity
topic Modelling
AquaCrop
Calibration
Sugar beet
Irrigation water allocation
Water productivity
description This article belongs to the Special Issue Modelling and Management of Irrigation System.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/205841
url http://hdl.handle.net/10261/205841
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/773903
https://doi.org/10.3390/w11091918
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421438737317888
score 15,812429

Similar Items