Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model

Detalhes bibliográficos
Autor(a) principal: Liu, Meihan
Data de Publicação: 2022
Outros Autores: Shi, Haibin, Paredes, Paula, Ramos, Tiago B., Dai, Liping, Feng, Zhuangzhuang, Pereira, Luís Santos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/27052
Resumo: Water scarcity and saline stress are primary threats for water use and agricultural production in arid and semi- arid regions, such as the Hetao Irrigation District, China. The current study, using irrigation with saline water, developed through three seasons (2017–2019) of field experimental surveillance of mulched maize water use in two cropped weighing lysimeters. Measurements included crop characteristics (height, LAI, dates of development stages), soil and water salinity, and daily actual crop evapotranspiration (ETc act). Deficit surface irrigation was scheduled in 2017 and 2018 seasons, while in 2019 drip irrigation was used aimed at satisfying crop water requirements. Both approaches aimed at improving irrigation management while controlling impacts of salinity. The collected information was used to parameterize and calibrate the soil water balance model SIMDualKc. The model uses the FAO56 dual crop coefficient approach and considers the combined effect of water and salinity stresses due to salinity of both soil and irrigation water. Results show that the SIMDualKc model adequately simulates the dynamics of the observed ETc act throughout the three growing seasons. The goodness-of-fit in- dicators show highly appropriate model fitting of observed ETc act with low RMSE of 0.42 mm d-1 for the cali- bration and 0.53 mm d-1 for validation. The calibrated standard basal crop coefficients (Kcb) of maize for the initial, mid, and end stages were respectively 0.15, 1.15 and 0.25, which agree with those recently proposed by Pereira et al. (2021). Due to the impacts of both water and salt stress in 2017 and 2018, ETc act was much below the potential value ETc, ranging 64–83%, while in 2019 that percentage increased to 92% due to avoiding water stress by then. The average Kcb mid act range 0.58–1.06, therefore lower than Kcb mid, with the lower values occuring in the lysimeter that was irrigated with a large deficit. The irrigation scheduling practiced was assessed using water use and productivity indicators, which have shown the advantage in using drip irrigation with small time intervals between irrigations. Moreover, the current study and the calibrated model provide for adopting irrigation management practices that may save water and control salinity.
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spelling Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc modelbasal crop coefficientdrip irrigationhetao irrigation districtsalinity stress impactssurface irrigationwater stress impactsWater scarcity and saline stress are primary threats for water use and agricultural production in arid and semi- arid regions, such as the Hetao Irrigation District, China. The current study, using irrigation with saline water, developed through three seasons (2017–2019) of field experimental surveillance of mulched maize water use in two cropped weighing lysimeters. Measurements included crop characteristics (height, LAI, dates of development stages), soil and water salinity, and daily actual crop evapotranspiration (ETc act). Deficit surface irrigation was scheduled in 2017 and 2018 seasons, while in 2019 drip irrigation was used aimed at satisfying crop water requirements. Both approaches aimed at improving irrigation management while controlling impacts of salinity. The collected information was used to parameterize and calibrate the soil water balance model SIMDualKc. The model uses the FAO56 dual crop coefficient approach and considers the combined effect of water and salinity stresses due to salinity of both soil and irrigation water. Results show that the SIMDualKc model adequately simulates the dynamics of the observed ETc act throughout the three growing seasons. The goodness-of-fit in- dicators show highly appropriate model fitting of observed ETc act with low RMSE of 0.42 mm d-1 for the cali- bration and 0.53 mm d-1 for validation. The calibrated standard basal crop coefficients (Kcb) of maize for the initial, mid, and end stages were respectively 0.15, 1.15 and 0.25, which agree with those recently proposed by Pereira et al. (2021). Due to the impacts of both water and salt stress in 2017 and 2018, ETc act was much below the potential value ETc, ranging 64–83%, while in 2019 that percentage increased to 92% due to avoiding water stress by then. The average Kcb mid act range 0.58–1.06, therefore lower than Kcb mid, with the lower values occuring in the lysimeter that was irrigated with a large deficit. The irrigation scheduling practiced was assessed using water use and productivity indicators, which have shown the advantage in using drip irrigation with small time intervals between irrigations. Moreover, the current study and the calibrated model provide for adopting irrigation management practices that may save water and control salinity.ElsevierRepositório da Universidade de LisboaLiu, MeihanShi, HaibinParedes, PaulaRamos, Tiago B.Dai, LipingFeng, ZhuangzhuangPereira, Luís Santos2023-01-26T16:24:59Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/27052engLiu M., Shi H., Paredes P., Ramos T.B., Dai L., Feng Z., Pereira L.S., 2022. Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model. Agric. Water Manage., 261, 107362https://doi.org/10.1016/j.agwat.2021.107362metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-24T01:32:34Zoai:www.repository.utl.pt:10400.5/27052Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:10:34.877516Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
title Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
spellingShingle Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
Liu, Meihan
basal crop coefficient
drip irrigation
hetao irrigation district
salinity stress impacts
surface irrigation
water stress impacts
title_short Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
title_full Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
title_fullStr Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
title_full_unstemmed Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
title_sort Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model
author Liu, Meihan
author_facet Liu, Meihan
Shi, Haibin
Paredes, Paula
Ramos, Tiago B.
Dai, Liping
Feng, Zhuangzhuang
Pereira, Luís Santos
author_role author
author2 Shi, Haibin
Paredes, Paula
Ramos, Tiago B.
Dai, Liping
Feng, Zhuangzhuang
Pereira, Luís Santos
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Liu, Meihan
Shi, Haibin
Paredes, Paula
Ramos, Tiago B.
Dai, Liping
Feng, Zhuangzhuang
Pereira, Luís Santos
dc.subject.por.fl_str_mv basal crop coefficient
drip irrigation
hetao irrigation district
salinity stress impacts
surface irrigation
water stress impacts
topic basal crop coefficient
drip irrigation
hetao irrigation district
salinity stress impacts
surface irrigation
water stress impacts
description Water scarcity and saline stress are primary threats for water use and agricultural production in arid and semi- arid regions, such as the Hetao Irrigation District, China. The current study, using irrigation with saline water, developed through three seasons (2017–2019) of field experimental surveillance of mulched maize water use in two cropped weighing lysimeters. Measurements included crop characteristics (height, LAI, dates of development stages), soil and water salinity, and daily actual crop evapotranspiration (ETc act). Deficit surface irrigation was scheduled in 2017 and 2018 seasons, while in 2019 drip irrigation was used aimed at satisfying crop water requirements. Both approaches aimed at improving irrigation management while controlling impacts of salinity. The collected information was used to parameterize and calibrate the soil water balance model SIMDualKc. The model uses the FAO56 dual crop coefficient approach and considers the combined effect of water and salinity stresses due to salinity of both soil and irrigation water. Results show that the SIMDualKc model adequately simulates the dynamics of the observed ETc act throughout the three growing seasons. The goodness-of-fit in- dicators show highly appropriate model fitting of observed ETc act with low RMSE of 0.42 mm d-1 for the cali- bration and 0.53 mm d-1 for validation. The calibrated standard basal crop coefficients (Kcb) of maize for the initial, mid, and end stages were respectively 0.15, 1.15 and 0.25, which agree with those recently proposed by Pereira et al. (2021). Due to the impacts of both water and salt stress in 2017 and 2018, ETc act was much below the potential value ETc, ranging 64–83%, while in 2019 that percentage increased to 92% due to avoiding water stress by then. The average Kcb mid act range 0.58–1.06, therefore lower than Kcb mid, with the lower values occuring in the lysimeter that was irrigated with a large deficit. The irrigation scheduling practiced was assessed using water use and productivity indicators, which have shown the advantage in using drip irrigation with small time intervals between irrigations. Moreover, the current study and the calibrated model provide for adopting irrigation management practices that may save water and control salinity.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-01-26T16:24:59Z
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/10400.5/27052
url http://hdl.handle.net/10400.5/27052
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Liu M., Shi H., Paredes P., Ramos T.B., Dai L., Feng Z., Pereira L.S., 2022. Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model. Agric. Water Manage., 261, 107362
https://doi.org/10.1016/j.agwat.2021.107362
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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