Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models
Main Author: | |
---|---|
Publication Date: | 2017 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.5/13846 |
Summary: | Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart’s yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (Tc act) and soil evaporation (Es), while AquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations of models were performed by comparing observed and predicted soil water content (SWC) and grain yield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean square error (NRMSE) 7.6%. AquaCrop was less accurate, with NRMSE 9.2%. Differences between models regarding the water balance terms were notable, and the ET partition revealed a trend for under-estimation of Tc act by AquaCrop, mainly under severe water stress. Yield predictions with SIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted in NRMSE 23% due to under-estimation of Tc act, particularly for water stressed treatments. Results show the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts on yield when combined with Stewart’s model |
id |
RCAP_fb65e966cc24d813732bde385cc27d58 |
---|---|
oai_identifier_str |
oai:repositorio.ulisboa.pt:10400.5/13846 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc modelsdual crop coefficientET partitionsoil water balanceactual transpirationStewart's water-yield modelstrengths and weaknesses of modelswestern UruguayData relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart’s yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (Tc act) and soil evaporation (Es), while AquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations of models were performed by comparing observed and predicted soil water content (SWC) and grain yield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean square error (NRMSE) 7.6%. AquaCrop was less accurate, with NRMSE 9.2%. Differences between models regarding the water balance terms were notable, and the ET partition revealed a trend for under-estimation of Tc act by AquaCrop, mainly under severe water stress. Yield predictions with SIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted in NRMSE 23% due to under-estimation of Tc act, particularly for water stressed treatments. Results show the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts on yield when combined with Stewart’s modelMDPIRepositório da Universidade de LisboaGiménez, LuisParedes, PaulaPereira, L.S.2017-07-04T09:32:17Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/13846engWater 2017, 9, 39310.3390/w9060393info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T16:11:05Zoai:repositorio.ulisboa.pt:10400.5/13846Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:05:08.872769Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models |
title |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models |
spellingShingle |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models Giménez, Luis dual crop coefficient ET partition soil water balance actual transpiration Stewart's water-yield model strengths and weaknesses of models western Uruguay |
title_short |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models |
title_full |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models |
title_fullStr |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models |
title_full_unstemmed |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models |
title_sort |
Water use and yield of soybean under various irrigation regimes and severe water stress. Application of AquaCrop and SIMDualKc models |
author |
Giménez, Luis |
author_facet |
Giménez, Luis Paredes, Paula Pereira, L.S. |
author_role |
author |
author2 |
Paredes, Paula Pereira, L.S. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Giménez, Luis Paredes, Paula Pereira, L.S. |
dc.subject.por.fl_str_mv |
dual crop coefficient ET partition soil water balance actual transpiration Stewart's water-yield model strengths and weaknesses of models western Uruguay |
topic |
dual crop coefficient ET partition soil water balance actual transpiration Stewart's water-yield model strengths and weaknesses of models western Uruguay |
description |
Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart’s yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (Tc act) and soil evaporation (Es), while AquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations of models were performed by comparing observed and predicted soil water content (SWC) and grain yield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean square error (NRMSE) 7.6%. AquaCrop was less accurate, with NRMSE 9.2%. Differences between models regarding the water balance terms were notable, and the ET partition revealed a trend for under-estimation of Tc act by AquaCrop, mainly under severe water stress. Yield predictions with SIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted in NRMSE 23% due to under-estimation of Tc act, particularly for water stressed treatments. Results show the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts on yield when combined with Stewart’s model |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-04T09:32:17Z 2017 2017-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/13846 |
url |
http://hdl.handle.net/10400.5/13846 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Water 2017, 9, 393 10.3390/w9060393 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833601937226858496 |