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Resumen
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.
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dc.contributor.author | Della Chiesa, Tomas | |
dc.contributor.author | Del Grosso, Stephen | |
dc.contributor.author | Hartman, Melannie | |
dc.contributor.author | Parton, William | |
dc.contributor.author | Echarte, Laura | |
dc.contributor.author | Yahdjian, Laura | |
dc.contributor.author | Piñeiro, Gervasio | |
dc.date.accessioned | 2022-03-31T17:28:06Z | |
dc.date.available | 2022-03-31T17:28:06Z | |
dc.date.issued | 2022-01-03 | |
dc.identifier.issn | 0304-3800 | |
dc.identifier.other | https://doi.org/10.1016/j.ecolmodel.2021.109869 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/11524 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0304380021004075 | |
dc.description.abstract | 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. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | Elsevier | es_AR |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_AR |
dc.source | Ecological Modelling 465 : 109869 (March 2022) | es_AR |
dc.subject | Cultivo Intercalado | es_AR |
dc.subject | Intercropping | eng |
dc.subject | Agricultura Sostenible | es_AR |
dc.subject | Sustainable Agriculture | eng |
dc.subject | Modelos de Simulación | es_AR |
dc.subject | Simulation Models | eng |
dc.subject | Plantas de Cobertura | es_AR |
dc.subject | Cover Plants | eng |
dc.title | A novel mechanism to simulate intercropping and relay cropping using the DayCent model | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.description.origen | EEA Balcarce | es_AR |
dc.description.fil | 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. | es_AR |
dc.description.fil | Fil: Della Chiesa, Tomas. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. | es_AR |
dc.description.fil | Fil: Del Grosso, Stephen. Soil Management and Sugar Beet Research Unit; Estados Unidos | es_AR |
dc.description.fil | Fil: Hartman, Melannie. Natural Resource Ecology Laboratory; Estados Unidos. | es_AR |
dc.description.fil | Fil: Parton, William. Natural Resource Ecology Laboratory; Estados Unidos. | es_AR |
dc.description.fil | 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. | es_AR |
dc.description.fil | Fil: Echarte, Laura. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. | es_AR |
dc.description.fil | 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. | es_AR |
dc.description.fil | 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. | es_AR |
dc.subtype | cientifico |
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