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

Ilustraciones, gráficas, tablas

Autores:: Rodriguez Espinoza, Jeferson

Tipo de recurso:

Fecha de publicación:: 2024

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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repository_id_str
dc.title.spa.fl_str_mv	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia
dc.title.translated.eng.fl_str_mv	Intercomparison of ecophysiological models for the analysis of rice crop productivity in Colombia
title	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia
spellingShingle	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia 630 - Agricultura y tecnologías relacionadas Arroz Rice Ecofisiología Ecophysiology Modelos vegetales Plant models Productividad agrícola Agricultural productivity Modelos de simulación Simulation models Modelos de Cultivo Algoritmo genetico Variabilidad climática Climate Variability ORYZA DSSAT Aquacrop agroclimR Crop Modeling Genetic Algorithm
title_short	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia
title_full	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia
title_fullStr	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia
title_full_unstemmed	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia
title_sort	Intercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en Colombia
dc.creator.fl_str_mv	Rodriguez Espinoza, Jeferson
dc.contributor.advisor.none.fl_str_mv	Ramirez Villegas, Julian Armando Mejía de Tafur, Maria Sara
dc.contributor.author.none.fl_str_mv	Rodriguez Espinoza, Jeferson
dc.contributor.orcid.spa.fl_str_mv	0000-0001-5914-6571
dc.contributor.scopus.spa.fl_str_mv	57217764588
dc.subject.ddc.spa.fl_str_mv	630 - Agricultura y tecnologías relacionadas
topic	630 - Agricultura y tecnologías relacionadas Arroz Rice Ecofisiología Ecophysiology Modelos vegetales Plant models Productividad agrícola Agricultural productivity Modelos de simulación Simulation models Modelos de Cultivo Algoritmo genetico Variabilidad climática Climate Variability ORYZA DSSAT Aquacrop agroclimR Crop Modeling Genetic Algorithm
dc.subject.agrovoc.none.fl_str_mv	Arroz Rice Ecofisiología Ecophysiology Modelos vegetales Plant models Productividad agrícola Agricultural productivity Modelos de simulación Simulation models
dc.subject.proposal.spa.fl_str_mv	Modelos de Cultivo Algoritmo genetico Variabilidad climática Climate Variability
dc.subject.proposal.eng.fl_str_mv	ORYZA DSSAT Aquacrop agroclimR Crop Modeling Genetic Algorithm
description	Ilustraciones, gráficas, tablas
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-02-08T16:37:41Z
dc.date.available.none.fl_str_mv	2024-02-08T16:37:41Z
dc.date.issued.none.fl_str_mv	2024
dc.type.spa.fl_str_mv	Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv	Text
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TM
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/85667
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/85667 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	spa
language	spa
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dc.rights.license.spa.fl_str_mv	Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv	http://creativecommons.org/licenses/by-nc/4.0/
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dc.format.extent.spa.fl_str_mv	xii, 85 páginas
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dc.coverage.country.none.fl_str_mv	Colombia
dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Palmira - Ciencias Agropecuarias - Maestría en Ciencias Agrarias
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ciencias Agropecuarias
dc.publisher.place.spa.fl_str_mv	Palmira, Valle del Cauca, Colombia
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Palmira
institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ramirez Villegas, Julian Armandodcd79e452fbf8c09f54f0e62489e5fdcMejía de Tafur, Maria Sarad57e7439f845febf10125722524deb1aRodriguez Espinoza, Jeferson8493c76c0ba1b0a59050c10666240ae80000-0001-5914-6571572177645882024-02-08T16:37:41Z2024-02-08T16:37:41Z2024https://repositorio.unal.edu.co/handle/unal/85667Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Ilustraciones, gráficas, tablasEste 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)This 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.MADRFEDEARROZ-FNAGobernacion del Valle del Cauca-FANMaestríaSe 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 regionesFisiologia de CultivosModelacion de CultivosCiencia de DatosLos 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.Ciencias Agropecuarias.Sede Palmiraxii, 85 páginasapplication/pdfspaUniversidad Nacional de ColombiaPalmira - Ciencias Agropecuarias - Maestría en Ciencias AgrariasFacultad de Ciencias AgropecuariasPalmira, Valle del Cauca, ColombiaUniversidad Nacional de Colombia - Sede Palmira630 - Agricultura y tecnologías relacionadasArrozRiceEcofisiologíaEcophysiologyModelos vegetalesPlant modelsProductividad agrícolaAgricultural productivityModelos de simulaciónSimulation modelsModelos de CultivoAlgoritmo geneticoVariabilidad climáticaClimate VariabilityORYZADSSATAquacropagroclimRCrop ModelingGenetic AlgorithmIntercomparación de modelos ecofisiológicos para el análisis de la productividad del cultivo de arroz en ColombiaIntercomparison of ecophysiological models for the analysis of rice crop productivity in ColombiaTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMColombiaAhmed, M., Asif, M., Hirani, A. 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Journal of Integrative Agriculture, 16(11), 2444–2458. https://doi.org/10.1016/S2095-3119(16)61626-XAllianza CIAT-BioversityInvestigadoresLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/85667/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1113635771_2023.pdf1113635771_2023.pdfapplication/pdf5349645https://repositorio.unal.edu.co/bitstream/unal/85667/2/1113635771_2023.pdf80c225135fd7c1f2d289c48d2a862bb4MD52THUMBNAIL1113635771_2023.pdf.jpg1113635771_2023.pdf.jpgGenerated Thumbnailimage/jpeg5120https://repositorio.unal.edu.co/bitstream/unal/85667/3/1113635771_2023.pdf.jpg981a0fe034d3fa93c77ba9aad084af5eMD53unal/85667oai:repositorio.unal.edu.co:unal/856672024-02-08 23:03:35.468Repositorio Institucional Universidad Nacional de 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