Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations

Users 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...

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Autores:
Tipo de recurso:
Article of journal
Fecha de publicación:
2009
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
spa
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/28108
Acceso en línea:
https://doi.org/10.1016/j.compag.2008.10.001
http://hdl.handle.net/20.500.12010/28108
http://expeditiorepositorio.utadeo.edu.co
Palabra clave:
Temperature distribution
Geostatistics
Greenhouse microclimate
Cultivo en invernadero
Plantas de invernadero
Tomate
Rights
License
http://creativecommons.org/licenses/by-nc-nd/4.0
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oai_identifier_str oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/28108
network_acronym_str UTADEO2
network_name_str Expeditio: repositorio UTadeo
repository_id_str
dc.title.spa.fl_str_mv Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
title Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
spellingShingle Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
Temperature distribution
Geostatistics
Greenhouse microclimate
Cultivo en invernadero
Plantas de invernadero
Tomate
title_short Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
title_full Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
title_fullStr Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
title_full_unstemmed Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
title_sort Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
dc.subject.spa.fl_str_mv Temperature distribution
Geostatistics
Greenhouse microclimate
topic Temperature distribution
Geostatistics
Greenhouse microclimate
Cultivo en invernadero
Plantas de invernadero
Tomate
dc.subject.lemb.spa.fl_str_mv Cultivo en invernadero
Plantas de invernadero
Tomate
description Users 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.
publishDate 2009
dc.date.created.none.fl_str_mv 2009
dc.date.accessioned.none.fl_str_mv 2022-09-15T16:24:37Z
dc.date.available.none.fl_str_mv 2022-09-15T16:24:37Z
dc.type.local.spa.fl_str_mv Artículo
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
format http://purl.org/coar/resource_type/c_6501
dc.identifier.issn.spa.fl_str_mv 0168-1699
dc.identifier.other.spa.fl_str_mv https://doi.org/10.1016/j.compag.2008.10.001
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/28108
dc.identifier.repourl.spa.fl_str_mv http://expeditiorepositorio.utadeo.edu.co
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.compag.2008.10.001
identifier_str_mv 0168-1699
url https://doi.org/10.1016/j.compag.2008.10.001
http://hdl.handle.net/20.500.12010/28108
http://expeditiorepositorio.utadeo.edu.co
dc.language.iso.spa.fl_str_mv spa
language spa
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
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dc.coverage.spatial.spa.fl_str_mv Colombia
dc.publisher.spa.fl_str_mv Universidad de Bogotá Jorge Tadeo Lozano
dc.source.spa.fl_str_mv instname:Universidad Jorge Tadeo Lozano
reponame:Repositorio Institucional UJTL
instname_str Universidad Jorge Tadeo Lozano
institution Universidad de Bogotá Jorge Tadeo Lozano
reponame_str Repositorio Institucional UJTL
collection Repositorio Institucional UJTL
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spelling http://creativecommons.org/licenses/by-nc-nd/4.0EL 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 datosAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Colombia2022-09-15T16:24:37Z2022-09-15T16:24:37Z20090168-1699https://doi.org/10.1016/j.compag.2008.10.001http://hdl.handle.net/20.500.12010/28108http://expeditiorepositorio.utadeo.edu.cohttps://doi.org/10.1016/j.compag.2008.10.001Users 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.text/htmlspaUniversidad de Bogotá Jorge Tadeo Lozanoinstname:Universidad Jorge Tadeo Lozanoreponame:Repositorio Institucional UJTLTemperature distributionGeostatisticsGreenhouse microclimateCultivo en invernaderoPlantas de invernaderoTomateUse of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variationsArtículohttp://purl.org/coar/resource_type/c_6501Bojacá, Carlos RicardoGil, RodrigoCooman, AlexanderLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/28108/2/license.txtbaba314677a6b940f072575a13bb6906MD52open accessTHUMBNAILCaptura.PNGCaptura.PNGImagenimage/png58694https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/28108/3/Captura.PNGa36a4e85a49105088523cf55691a0ee1MD53open access20.500.12010/28108oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/281082022-09-15 11:25:10.055metadata only accessRepositorio Institucional - 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