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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/11524
Ver los metadatos del registro completo
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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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1846143544903860224 |
score |
12.712165 |