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dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0spa
dc.rights.licenseEL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DE BOGOTA JORGE TADEO LOZANO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DE BOGOTÁ JORGE TADEO LOZANO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. Para el correcto ejercicio de mi derecho de habeas data cuento con la cuenta de correo protecciondatos@utadeo.edu.co, donde previa identificación podré solicitar la consulta, corrección y supresión de mis datosspa
dc.coverage.spatialColombiaspa
dc.creatorBojacá, Carlos Ricardo
dc.creatorGil, Rodrigo
dc.creatorCooman, Alexander
dc.date.accessioned2022-09-15T16:24:37Z
dc.date.available2022-09-15T16:24:37Z
dc.date.created2009
dc.identifier.issn0168-1699spa
dc.identifier.otherhttps://doi.org/10.1016/j.compag.2008.10.001spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/28108
dc.description.abstractUsers of potential crop growth models have generally assumed homogenous greenhouse climate conditions for simulation purposes. Geostatistics offers the possibility to represent the spatial dependence of climate variables such as temperature distribution in greenhouses. In order to obtain insight in the relevance of temperature distribution on the performance of a crop, geostatistical and crop growth modeling tools were combined in the present work. A plastic greenhouse with the size used in commercial practices, was used to assess temperature distribution by installing a 25-sensor grid, during a 28-day measurement period. Geostatistical analyses were performed on the temperature data, previously divided in five ranges that were established as a function of solar radiation intensity. Estimated semivariograms were fitted to theoretical spherical model for posterior estimation at unsampled points by ordinary kriging method. Results of this analysis indicated an increasing temperature spatial dependence as global radiation augmented. Crop growth simulations with the Tomgro model applied to the estimated temperature distribution, quantified the faster plant development rates in the central zone of the greenhouse, resulting in plants with one additional truss and a significant higher yield, when compared to plants next to the side walls. The results of this work suggest that the location of the climate sensor station is a sensible factor when using crop simulation models for greenhouse conditions. Final predictions done by crop growth simulation models may be biased and the results cannot be generalized for the entire greenhouse area when microclimate patterns are not considered. Application of geostatistics enabled to assess temperature patterns inside greenhouse and to analyze the relationship with global outside radiation.spa
dc.format.mimetypetext/htmlspa
dc.language.isospaspa
dc.publisherUniversidad de Bogotá Jorge Tadeo Lozanospa
dc.sourceinstname:Universidad Jorge Tadeo Lozanospa
dc.sourcereponame:Repositorio Institucional UJTLspa
dc.subjectTemperature distributionspa
dc.subjectGeostatisticsspa
dc.subjectGreenhouse microclimatespa
dc.titleUse of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variationsspa
dc.type.localArtículospa
dc.subject.lembCultivo en invernaderospa
dc.subject.lembPlantas de invernaderospa
dc.subject.lembTomatespa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.repourlhttp://expeditiorepositorio.utadeo.edu.cospa
dc.identifier.doihttps://doi.org/10.1016/j.compag.2008.10.001spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa


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