Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas

Autores
Videla Mensegue, Horacio Rogelio; Caviglia, Octavio; Degioanni, Américo José; Marcos, J.; Bonadeo, E.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Biophysical simulation models can help to satisfactorily estimate the crop performance for grain production, their stability across years and their impact on components of hydrological balance in diverse areas once those models have been calibrated and validated with field data. The Inner Argentinian Pampas (IAP) region is very susceptible to both frequent flooding and random droughts due to flat landscape, sub-humid to semi-arid climate, coarse- textured soils and shallow water tables. The Soil Water Balance (SWB) model appears to be suitable for the IAP region since it includes most of the necessary requirements for the particular conditions of such an environment. The objectives of this study were: i) to identify the most sensitive crop parameters of the SWB model for a satisfactory estimation of aerial biomass, grain yield and crop evapotranspiration in the IAP region; ii) to parameterise and calibrate the SWB model for simulation of aerial biomass, grain yield and crop evapotranspiration of wheat (Triticum aestivum L.), soybean [Glycine max L. (Merr.)] and maize (Zea mays L.); iii) to validate the SWB model using an independent dataset over a wide area in the IAP region. We used data from 9 field experiments for calibration and from 116 field experiments for validation. The most critical parameters, as indicated by a sensitivity analysis, were biomass-transpiration coefficient (Kb), radiation use efficiency (e), and extinction coefficient (k), suggesting that they should be locally obtained before promoting the use of the SWB model in a given region. The SWB model, after calibration, was able to accurately estimate crop aerial biomass (d = 0.97–0.99, GSD = 9.5–23.9% and RMSE = 786–2,438 kg ha−1), grain yield (d = 0.95–0.96, GSD = 4.5–10.7% and RMSE = 357–637 kg ha−1), crop evapotranspiration (d = 0.97–0.99; GSD = 8.1–16.1%, RMSE = 17–51 mm) and soil water content (d = 0.87–0.96, GSD = 11.2–15.5% and RMSE = 9.6–13.2 mm). The robustness to estimate water balance, aerial biomass and grain yield fluctuations for wheat, soybean, and maize across different soil textures and rainfall variability reflects the potential of SWB model as a valuable tool to face the main challenges of the agricultural systems in our region.
Fil: Videla Mensegue, Horacio Rogelio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye; Argentina
Fil: Caviglia, Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Fil: Degioanni, Américo José. Universidad Nacional Río Cuarto, Facultad de Agronomía y Veterinaria. Departamento de Ecología Agraria; Argentina
Fil: Marcos, J. Investigador jubilado; Argentina
Fil: Bonadeo, E. Universidad Nacional Río Cuarto, Facultad de Agronomía y Veterinaria. Departamento de Ecología Agraria; Argentina
Fuente
Computers and Electronics in Agriculture 181 : 105892 (February 2021)
Materia
Uso del Agua
Balance Hídrico del Suelo
Modelos
Cultivos
Water Use
Soil Water Balance
Models
Crops
Región Pampeana
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Calibration and validation of soil water balance (SWB) model in the Inner Argentinian PampasVidela Mensegue, Horacio RogelioCaviglia, OctavioDegioanni, Américo JoséMarcos, J.Bonadeo, E.Uso del AguaBalance Hídrico del SueloModelosCultivosWater UseSoil Water BalanceModelsCropsRegión PampeanaBiophysical simulation models can help to satisfactorily estimate the crop performance for grain production, their stability across years and their impact on components of hydrological balance in diverse areas once those models have been calibrated and validated with field data. The Inner Argentinian Pampas (IAP) region is very susceptible to both frequent flooding and random droughts due to flat landscape, sub-humid to semi-arid climate, coarse- textured soils and shallow water tables. The Soil Water Balance (SWB) model appears to be suitable for the IAP region since it includes most of the necessary requirements for the particular conditions of such an environment. The objectives of this study were: i) to identify the most sensitive crop parameters of the SWB model for a satisfactory estimation of aerial biomass, grain yield and crop evapotranspiration in the IAP region; ii) to parameterise and calibrate the SWB model for simulation of aerial biomass, grain yield and crop evapotranspiration of wheat (Triticum aestivum L.), soybean [Glycine max L. (Merr.)] and maize (Zea mays L.); iii) to validate the SWB model using an independent dataset over a wide area in the IAP region. We used data from 9 field experiments for calibration and from 116 field experiments for validation. The most critical parameters, as indicated by a sensitivity analysis, were biomass-transpiration coefficient (Kb), radiation use efficiency (e), and extinction coefficient (k), suggesting that they should be locally obtained before promoting the use of the SWB model in a given region. The SWB model, after calibration, was able to accurately estimate crop aerial biomass (d = 0.97–0.99, GSD = 9.5–23.9% and RMSE = 786–2,438 kg ha−1), grain yield (d = 0.95–0.96, GSD = 4.5–10.7% and RMSE = 357–637 kg ha−1), crop evapotranspiration (d = 0.97–0.99; GSD = 8.1–16.1%, RMSE = 17–51 mm) and soil water content (d = 0.87–0.96, GSD = 11.2–15.5% and RMSE = 9.6–13.2 mm). The robustness to estimate water balance, aerial biomass and grain yield fluctuations for wheat, soybean, and maize across different soil textures and rainfall variability reflects the potential of SWB model as a valuable tool to face the main challenges of the agricultural systems in our region.Fil: Videla Mensegue, Horacio Rogelio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye; ArgentinaFil: Caviglia, Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Degioanni, Américo José. Universidad Nacional Río Cuarto, Facultad de Agronomía y Veterinaria. Departamento de Ecología Agraria; ArgentinaFil: Marcos, J. Investigador jubilado; ArgentinaFil: Bonadeo, E. Universidad Nacional Río Cuarto, Facultad de Agronomía y Veterinaria. Departamento de Ecología Agraria; ArgentinaElsevier2021-03-09T14:55:13Z2021-03-09T14:55:13Z2021-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/8851https://www.sciencedirect.com/science/article/abs/pii/S01681699203309700168-1699https://doi.org/10.1016/j.compag.2020.105892Computers and Electronics in Agriculture 181 : 105892 (February 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PE-E1-I011-001/2019-PE-E1-I011-001/AR./Intensificacion Sustentable de la Agricultura en la Region Pampeanainfo:eu-repograntAgreement/INTA/2019-PE-E2-I041-001/2019-PE-E2-I041-001/AR./Aportes para la gestión integrada de los recursos hídricos (GIRH) en cuencas del Sistema Agroalimentario Argentinoinfo:eu-repograntAgreement/INTA/2019-PE-E2-I042-001/2019-PE-E2-I042-001/AR./Uso y gestión eficiente del Agua en Sistemas de Secanoinfo:eu-repograntAgreement/INTA/2019-PD-E2-I044-001/2019-PD-E2-I044-001/AR./Interacción de agroecosistemas y napas freáticas: innovaciones tecnológicas y organizacionales para su manejo a diferentes escalas.info:eu-repo/semantics/restrictedAccess2025-09-29T13:45:09Zoai:localhost:20.500.12123/8851instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:09.51INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
title Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
spellingShingle Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
Videla Mensegue, Horacio Rogelio
Uso del Agua
Balance Hídrico del Suelo
Modelos
Cultivos
Water Use
Soil Water Balance
Models
Crops
Región Pampeana
title_short Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
title_full Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
title_fullStr Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
title_full_unstemmed Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
title_sort Calibration and validation of soil water balance (SWB) model in the Inner Argentinian Pampas
dc.creator.none.fl_str_mv Videla Mensegue, Horacio Rogelio
Caviglia, Octavio
Degioanni, Américo José
Marcos, J.
Bonadeo, E.
author Videla Mensegue, Horacio Rogelio
author_facet Videla Mensegue, Horacio Rogelio
Caviglia, Octavio
Degioanni, Américo José
Marcos, J.
Bonadeo, E.
author_role author
author2 Caviglia, Octavio
Degioanni, Américo José
Marcos, J.
Bonadeo, E.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Uso del Agua
Balance Hídrico del Suelo
Modelos
Cultivos
Water Use
Soil Water Balance
Models
Crops
Región Pampeana
topic Uso del Agua
Balance Hídrico del Suelo
Modelos
Cultivos
Water Use
Soil Water Balance
Models
Crops
Región Pampeana
dc.description.none.fl_txt_mv Biophysical simulation models can help to satisfactorily estimate the crop performance for grain production, their stability across years and their impact on components of hydrological balance in diverse areas once those models have been calibrated and validated with field data. The Inner Argentinian Pampas (IAP) region is very susceptible to both frequent flooding and random droughts due to flat landscape, sub-humid to semi-arid climate, coarse- textured soils and shallow water tables. The Soil Water Balance (SWB) model appears to be suitable for the IAP region since it includes most of the necessary requirements for the particular conditions of such an environment. The objectives of this study were: i) to identify the most sensitive crop parameters of the SWB model for a satisfactory estimation of aerial biomass, grain yield and crop evapotranspiration in the IAP region; ii) to parameterise and calibrate the SWB model for simulation of aerial biomass, grain yield and crop evapotranspiration of wheat (Triticum aestivum L.), soybean [Glycine max L. (Merr.)] and maize (Zea mays L.); iii) to validate the SWB model using an independent dataset over a wide area in the IAP region. We used data from 9 field experiments for calibration and from 116 field experiments for validation. The most critical parameters, as indicated by a sensitivity analysis, were biomass-transpiration coefficient (Kb), radiation use efficiency (e), and extinction coefficient (k), suggesting that they should be locally obtained before promoting the use of the SWB model in a given region. The SWB model, after calibration, was able to accurately estimate crop aerial biomass (d = 0.97–0.99, GSD = 9.5–23.9% and RMSE = 786–2,438 kg ha−1), grain yield (d = 0.95–0.96, GSD = 4.5–10.7% and RMSE = 357–637 kg ha−1), crop evapotranspiration (d = 0.97–0.99; GSD = 8.1–16.1%, RMSE = 17–51 mm) and soil water content (d = 0.87–0.96, GSD = 11.2–15.5% and RMSE = 9.6–13.2 mm). The robustness to estimate water balance, aerial biomass and grain yield fluctuations for wheat, soybean, and maize across different soil textures and rainfall variability reflects the potential of SWB model as a valuable tool to face the main challenges of the agricultural systems in our region.
Fil: Videla Mensegue, Horacio Rogelio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye; Argentina
Fil: Caviglia, Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Fil: Degioanni, Américo José. Universidad Nacional Río Cuarto, Facultad de Agronomía y Veterinaria. Departamento de Ecología Agraria; Argentina
Fil: Marcos, J. Investigador jubilado; Argentina
Fil: Bonadeo, E. Universidad Nacional Río Cuarto, Facultad de Agronomía y Veterinaria. Departamento de Ecología Agraria; Argentina
description Biophysical simulation models can help to satisfactorily estimate the crop performance for grain production, their stability across years and their impact on components of hydrological balance in diverse areas once those models have been calibrated and validated with field data. The Inner Argentinian Pampas (IAP) region is very susceptible to both frequent flooding and random droughts due to flat landscape, sub-humid to semi-arid climate, coarse- textured soils and shallow water tables. The Soil Water Balance (SWB) model appears to be suitable for the IAP region since it includes most of the necessary requirements for the particular conditions of such an environment. The objectives of this study were: i) to identify the most sensitive crop parameters of the SWB model for a satisfactory estimation of aerial biomass, grain yield and crop evapotranspiration in the IAP region; ii) to parameterise and calibrate the SWB model for simulation of aerial biomass, grain yield and crop evapotranspiration of wheat (Triticum aestivum L.), soybean [Glycine max L. (Merr.)] and maize (Zea mays L.); iii) to validate the SWB model using an independent dataset over a wide area in the IAP region. We used data from 9 field experiments for calibration and from 116 field experiments for validation. The most critical parameters, as indicated by a sensitivity analysis, were biomass-transpiration coefficient (Kb), radiation use efficiency (e), and extinction coefficient (k), suggesting that they should be locally obtained before promoting the use of the SWB model in a given region. The SWB model, after calibration, was able to accurately estimate crop aerial biomass (d = 0.97–0.99, GSD = 9.5–23.9% and RMSE = 786–2,438 kg ha−1), grain yield (d = 0.95–0.96, GSD = 4.5–10.7% and RMSE = 357–637 kg ha−1), crop evapotranspiration (d = 0.97–0.99; GSD = 8.1–16.1%, RMSE = 17–51 mm) and soil water content (d = 0.87–0.96, GSD = 11.2–15.5% and RMSE = 9.6–13.2 mm). The robustness to estimate water balance, aerial biomass and grain yield fluctuations for wheat, soybean, and maize across different soil textures and rainfall variability reflects the potential of SWB model as a valuable tool to face the main challenges of the agricultural systems in our region.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-09T14:55:13Z
2021-03-09T14:55:13Z
2021-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/8851
https://www.sciencedirect.com/science/article/abs/pii/S0168169920330970
0168-1699
https://doi.org/10.1016/j.compag.2020.105892
url http://hdl.handle.net/20.500.12123/8851
https://www.sciencedirect.com/science/article/abs/pii/S0168169920330970
https://doi.org/10.1016/j.compag.2020.105892
identifier_str_mv 0168-1699
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2019-PE-E1-I011-001/2019-PE-E1-I011-001/AR./Intensificacion Sustentable de la Agricultura en la Region Pampeana
info:eu-repograntAgreement/INTA/2019-PE-E2-I041-001/2019-PE-E2-I041-001/AR./Aportes para la gestión integrada de los recursos hídricos (GIRH) en cuencas del Sistema Agroalimentario Argentino
info:eu-repograntAgreement/INTA/2019-PE-E2-I042-001/2019-PE-E2-I042-001/AR./Uso y gestión eficiente del Agua en Sistemas de Secano
info:eu-repograntAgreement/INTA/2019-PD-E2-I044-001/2019-PD-E2-I044-001/AR./Interacción de agroecosistemas y napas freáticas: innovaciones tecnológicas y organizacionales para su manejo a diferentes escalas.
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
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 Computers and Electronics in Agriculture 181 : 105892 (February 2021)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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