Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia

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dc.contributor.advisorRamirez Villegas, Julian Armando
dc.contributor.advisorMejía de Tafur, Maria Sara
dc.contributor.authorRodriguez Espinoza, Jeferson
dc.contributor.orcid0000-0001-5914-6571spa
dc.contributor.scopus57217764588spa
dc.coverage.countryColombia
dc.date.accessioned2024-02-08T16:37:41Z
dc.date.available2024-02-08T16:37:41Z
dc.date.issued2024
dc.descriptionIlustraciones, gráficas, tablasspa
dc.description.abstractEste estudio aborda la intercomparación de tres modelos ecofisiológicos del cultivo de arroz (ORYZA v3, DSSAT-CERES-Rice y Aquacrop), evaluados en tres ambientes de producción en Colombia: Zona Centro, Llanos Orientales y Bajo Cauca. Se implementó un Algoritmo Genético para la optimización de parámetros y se evaluaron las predicciones de los modelos en variables como fenología, biomasa aérea, área foliar y rendimiento en grano. Además, se analizó la respuesta de los modelos a las condiciones de variabilidad climática ENSO utilizando el conjunto de datos del cultivar Fedearroz 2000, sembrado en todas las regiones. Los resultados mostraron variaciones en las predicciones de los modelos, indicando una interacción significativa entre las variaciones climáticas y el sistema de cultivo. La intercomparación proporcionó conocimientos valiosos sobre las fortalezas y debilidades de cada modelo, esencial para futuras aplicaciones en la planificación agronómica y la adaptación al cambio climático. (Texto tomado de la fuente)spa
dc.description.abstractThis study addresses the intercomparison of three ecophysiological models of rice cultivation (ORYZA v3, DSSAT-CERES-Rice, and Aquacrop), evaluated with three cultivars in three production environments in Colombia: Central Zone, Eastern Plains, and Lower Cauca. A Genetic Algorithm was implemented for parameter optimization, and the models' predictions were evaluated in variables such as phenology, aerial biomass, leaf area, and grain yield. Additionally, the models' response to ENSO climatic variability conditions was analyzed using the dataset of the Fedearroz 2000 cultivar, planted in all regions. The results showed variations in the models' predictions, indicating a significant interaction between climatic variations and the cultivation system. In conclusion, the intercomparison provided valuable insights into the strengths and weaknesses of each model, essential for future applications in agronomic planning and adaptation to climate change.eng
dc.description.curricularareaCiencias Agropecuarias.Sede Palmiraspa
dc.description.degreelevelMaestríaspa
dc.description.methodsSe implementó un Algoritmo Genético para la optimización de parámetros y se evaluaron las predicciones de los modelos en variables como fenología, biomasa aérea, área foliar y rendimiento en grano. Además, se analizó la respuesta de los modelos a las condiciones de variabilidad climática ENSO utilizando el conjunto de datos del cultivar Fedearroz 2000, sembrado en todas las regionesspa
dc.description.researchareaFisiologia de Cultivosspa
dc.description.researchareaModelacion de Cultivosspa
dc.description.researchareaCiencia de Datosspa
dc.description.sponsorshipMADRspa
dc.description.sponsorshipFEDEARROZ-FNAspa
dc.description.sponsorshipGobernacion del Valle del Cauca-FANspa
dc.description.technicalinfoLos desarrollos derivados de esta investigación, se encuentran alojados en los repositorios de Github (https://github.com/jrodriguez88/agroclimR, https://jrodriguez88.github.io/agroclimR/), siendo de libre acceso para los investigadores que busquen replicar las metodologías y flujos de datos.spa
dc.format.extentxii, 85 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/85667
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Palmiraspa
dc.publisher.facultyFacultad de Ciencias Agropecuariasspa
dc.publisher.placePalmira, Valle del Cauca, Colombiaspa
dc.publisher.programPalmira - Ciencias Agropecuarias - Maestría en Ciencias Agrariasspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.agrovocArroz
dc.subject.agrovocRice
dc.subject.agrovocEcofisiología
dc.subject.agrovocEcophysiology
dc.subject.agrovocModelos vegetales
dc.subject.agrovocPlant models
dc.subject.agrovocProductividad agrícola
dc.subject.agrovocAgricultural productivity
dc.subject.agrovocModelos de simulación
dc.subject.agrovocSimulation models
dc.subject.ddc630 - Agricultura y tecnologías relacionadasspa
dc.subject.proposalModelos de Cultivospa
dc.subject.proposalORYZAeng
dc.subject.proposalDSSATeng
dc.subject.proposalAquacropeng
dc.subject.proposalAlgoritmo geneticospa
dc.subject.proposalagroclimReng
dc.subject.proposalVariabilidad climáticaspa
dc.subject.proposalCrop Modelingeng
dc.subject.proposalClimate Variabilityspa
dc.subject.proposalGenetic Algorithmeng
dc.titleIntercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombiaspa
dc.title.translatedIntercomparison of ecophysiological models for the analysis of rice crop productivity in Colombiaeng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.fundernameAllianza CIAT-Bioversityspa

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Tamaño:
5.74 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
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