A novel mechanism to simulate intercropping and relay cropping using the DayCent model

Autores
Della Chiesa, Tomas; Del Grosso, Stephen; Hartman, Melannie; Parton, William; Echarte, Laura; Yahdjian, Laura; Piñeiro, Gervasio
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Combining different crops in complex spatial and temporal arrangements can increase resource use efficiency and reduce negative environmental impacts in croplands. Simulation models are useful tools to explore new management strategies and crop combinations in varied landscapes under different weather scenarios. However, models that allow simulations of two or more crops growing simultaneously, such as intercropping or relay cropping systems, are scarce. We adapted DayCent, one of the most widely used models to analyze greenhouse gas emissions on croplands, to simulate two crop types growing at the same time. We changed several tree parameters in the savanna scheme which was designed to represent single crop and tree species growing simultaneously and competing for light and nutrients. This allowed us to simulate two crop species growing simultaneously without modifying model code. Our results showed good agreements with standard single crop simulations of different key variables and with measured aboveground biomass and grain yield collected in a long-term intercropping experiment. A sensitivity analysis showed that the parameters that control the effect on leaf-area-index are more important than those that control the competitiveness among crops. DayCent can now represent several crop combinations for both intercropping and relay cropping schemes and be used to explore both agronomic and environmental performance of novel agricultural systems.
EEA Balcarce
Fil: Della Chiesa, Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
Fil: Della Chiesa, Tomas. Universidad de Buenos Aires. Facultad de Agronomía; Argentina.
Fil: Del Grosso, Stephen. Soil Management and Sugar Beet Research Unit; Estados Unidos
Fil: Hartman, Melannie. Natural Resource Ecology Laboratory; Estados Unidos.
Fil: Parton, William. Natural Resource Ecology Laboratory; Estados Unidos.
Fil: Echarte, Laura. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.
Fil: Echarte, Laura. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Yahdjian, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
Fil: Piñeiro, Gervasio. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
Fuente
Ecological Modelling 465 : 109869 (March 2022)
Materia
Cultivo Intercalado
Agricultura Sostenible
Modelos de Simulación
Plantas de Cobertura
Intercropping
Sustainable Agriculture
Simulation Models
Cover Plants
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/11524

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spelling A novel mechanism to simulate intercropping and relay cropping using the DayCent modelDella Chiesa, TomasDel Grosso, StephenHartman, MelannieParton, WilliamEcharte, LauraYahdjian, LauraPiñeiro, GervasioCultivo IntercaladoAgricultura SostenibleModelos de SimulaciónPlantas de CoberturaIntercroppingSustainable AgricultureSimulation ModelsCover PlantsCombining different crops in complex spatial and temporal arrangements can increase resource use efficiency and reduce negative environmental impacts in croplands. Simulation models are useful tools to explore new management strategies and crop combinations in varied landscapes under different weather scenarios. However, models that allow simulations of two or more crops growing simultaneously, such as intercropping or relay cropping systems, are scarce. We adapted DayCent, one of the most widely used models to analyze greenhouse gas emissions on croplands, to simulate two crop types growing at the same time. We changed several tree parameters in the savanna scheme which was designed to represent single crop and tree species growing simultaneously and competing for light and nutrients. This allowed us to simulate two crop species growing simultaneously without modifying model code. Our results showed good agreements with standard single crop simulations of different key variables and with measured aboveground biomass and grain yield collected in a long-term intercropping experiment. A sensitivity analysis showed that the parameters that control the effect on leaf-area-index are more important than those that control the competitiveness among crops. DayCent can now represent several crop combinations for both intercropping and relay cropping schemes and be used to explore both agronomic and environmental performance of novel agricultural systems.EEA BalcarceFil: Della Chiesa, Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.Fil: Della Chiesa, Tomas. Universidad de Buenos Aires. Facultad de Agronomía; Argentina.Fil: Del Grosso, Stephen. Soil Management and Sugar Beet Research Unit; Estados UnidosFil: Hartman, Melannie. Natural Resource Ecology Laboratory; Estados Unidos.Fil: Parton, William. Natural Resource Ecology Laboratory; Estados Unidos.Fil: Echarte, Laura. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.Fil: Echarte, Laura. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.Fil: Yahdjian, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.Fil: Piñeiro, Gervasio. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.Elsevier2022-03-31T17:28:06Z2022-03-31T17:28:06Z2022-01-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/11524https://www.sciencedirect.com/science/article/pii/S03043800210040750304-3800https://doi.org/10.1016/j.ecolmodel.2021.109869Ecological Modelling 465 : 109869 (March 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-10-16T09:30:33Zoai:localhost:20.500.12123/11524instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:30:37.699INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv A novel mechanism to simulate intercropping and relay cropping using the DayCent model
title A novel mechanism to simulate intercropping and relay cropping using the DayCent model
spellingShingle A novel mechanism to simulate intercropping and relay cropping using the DayCent model
Della Chiesa, Tomas
Cultivo Intercalado
Agricultura Sostenible
Modelos de Simulación
Plantas de Cobertura
Intercropping
Sustainable Agriculture
Simulation Models
Cover Plants
title_short A novel mechanism to simulate intercropping and relay cropping using the DayCent model
title_full A novel mechanism to simulate intercropping and relay cropping using the DayCent model
title_fullStr A novel mechanism to simulate intercropping and relay cropping using the DayCent model
title_full_unstemmed A novel mechanism to simulate intercropping and relay cropping using the DayCent model
title_sort A novel mechanism to simulate intercropping and relay cropping using the DayCent model
dc.creator.none.fl_str_mv Della Chiesa, Tomas
Del Grosso, Stephen
Hartman, Melannie
Parton, William
Echarte, Laura
Yahdjian, Laura
Piñeiro, Gervasio
author Della Chiesa, Tomas
author_facet Della Chiesa, Tomas
Del Grosso, Stephen
Hartman, Melannie
Parton, William
Echarte, Laura
Yahdjian, Laura
Piñeiro, Gervasio
author_role author
author2 Del Grosso, Stephen
Hartman, Melannie
Parton, William
Echarte, Laura
Yahdjian, Laura
Piñeiro, Gervasio
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Cultivo Intercalado
Agricultura Sostenible
Modelos de Simulación
Plantas de Cobertura
Intercropping
Sustainable Agriculture
Simulation Models
Cover Plants
topic Cultivo Intercalado
Agricultura Sostenible
Modelos de Simulación
Plantas de Cobertura
Intercropping
Sustainable Agriculture
Simulation Models
Cover Plants
dc.description.none.fl_txt_mv Combining different crops in complex spatial and temporal arrangements can increase resource use efficiency and reduce negative environmental impacts in croplands. Simulation models are useful tools to explore new management strategies and crop combinations in varied landscapes under different weather scenarios. However, models that allow simulations of two or more crops growing simultaneously, such as intercropping or relay cropping systems, are scarce. We adapted DayCent, one of the most widely used models to analyze greenhouse gas emissions on croplands, to simulate two crop types growing at the same time. We changed several tree parameters in the savanna scheme which was designed to represent single crop and tree species growing simultaneously and competing for light and nutrients. This allowed us to simulate two crop species growing simultaneously without modifying model code. Our results showed good agreements with standard single crop simulations of different key variables and with measured aboveground biomass and grain yield collected in a long-term intercropping experiment. A sensitivity analysis showed that the parameters that control the effect on leaf-area-index are more important than those that control the competitiveness among crops. DayCent can now represent several crop combinations for both intercropping and relay cropping schemes and be used to explore both agronomic and environmental performance of novel agricultural systems.
EEA Balcarce
Fil: Della Chiesa, Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
Fil: Della Chiesa, Tomas. Universidad de Buenos Aires. Facultad de Agronomía; Argentina.
Fil: Del Grosso, Stephen. Soil Management and Sugar Beet Research Unit; Estados Unidos
Fil: Hartman, Melannie. Natural Resource Ecology Laboratory; Estados Unidos.
Fil: Parton, William. Natural Resource Ecology Laboratory; Estados Unidos.
Fil: Echarte, Laura. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.
Fil: Echarte, Laura. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Yahdjian, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
Fil: Piñeiro, Gervasio. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina.
description Combining different crops in complex spatial and temporal arrangements can increase resource use efficiency and reduce negative environmental impacts in croplands. Simulation models are useful tools to explore new management strategies and crop combinations in varied landscapes under different weather scenarios. However, models that allow simulations of two or more crops growing simultaneously, such as intercropping or relay cropping systems, are scarce. We adapted DayCent, one of the most widely used models to analyze greenhouse gas emissions on croplands, to simulate two crop types growing at the same time. We changed several tree parameters in the savanna scheme which was designed to represent single crop and tree species growing simultaneously and competing for light and nutrients. This allowed us to simulate two crop species growing simultaneously without modifying model code. Our results showed good agreements with standard single crop simulations of different key variables and with measured aboveground biomass and grain yield collected in a long-term intercropping experiment. A sensitivity analysis showed that the parameters that control the effect on leaf-area-index are more important than those that control the competitiveness among crops. DayCent can now represent several crop combinations for both intercropping and relay cropping schemes and be used to explore both agronomic and environmental performance of novel agricultural systems.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-31T17:28:06Z
2022-03-31T17:28:06Z
2022-01-03
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/20.500.12123/11524
https://www.sciencedirect.com/science/article/pii/S0304380021004075
0304-3800
https://doi.org/10.1016/j.ecolmodel.2021.109869
url http://hdl.handle.net/20.500.12123/11524
https://www.sciencedirect.com/science/article/pii/S0304380021004075
https://doi.org/10.1016/j.ecolmodel.2021.109869
identifier_str_mv 0304-3800
dc.language.none.fl_str_mv eng
language eng
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 Ecological Modelling 465 : 109869 (March 2022)
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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