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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/8851
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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 http://purl.org/coar/resource_type/c_6501 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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