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Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)

dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.contributor.advisorBarrera Sánchez, Carlos Felipe
dc.contributor.advisorGuzmán Hernández, Manuel Alejandro
dc.contributor.authorCoronado Aleans, Verónica
dc.date.accessioned2022-08-18T15:39:57Z
dc.date.available2022-08-18T15:39:57Z
dc.date.issued2022
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/81948
dc.descriptionilustraciones, diagramas, tablas
dc.description.abstractCon el objetivo de evaluar el uso del fenotipado de raíces basado en imágenes digitales fueron evaluados genotipos de maíz (Zea mays L.) en condiciones de campo para rasgos de interés agronómico y rasgos asociados con la arquitectura de las raíces en Antioquia, Colombia. En cada lote experimental se aplicó un diseño de bloques completos al azar con tres repeticiones. Para el análisis de fenotipo del sistema de raíces se emplearon dos metodologías: I) fenotipado manual y II) fenotipado por análisis de imágenes digitales. Las variables asociadas a la parte aérea y de raíz fueron relacionadas utilizando correlaciones de Pearson. Se usaron componentes principales para evaluar patrones en la variación de la arquitectura de la raíz. El diámetro de raíz medido manualmente se correlacionó con el diámetro de raíz derivado de la imagen (r = 0,97) y los ángulos de apertura derecho e izquierdo con valores de r = 0,96 y 0,94 respectivamente. Los resultados presentados en este estudio muestran que se puede adoptar un protocolo de fenotipado de raíces automatizado bajo el software REST que permite un nivel de investigación fenotípica adecuado para la evaluación de genotipos y estudios fisiológicos.
dc.description.abstractWith the objective of evaluating the use of root phenotyping based on digital images, genotypes of maize (Zea mays L.) were evaluated under field conditions for traits of agronomic interest and traits associated with root architecture in Antioquia, Colombia. A randomized complete block design with three replications was applied to each experimental batch. For the analysis of the phenotype of the root system, two methodologies were used: I) manual phenotyping and II) phenotyping by digital image analysis. The variables associated with the aerial and root parts were related using Pearson's correlations. Principal components were used to evaluate patterns in root architecture variation. The results indicated significant differences (P ≤ 0.05) between genotypes for yield, male and female flowering, leaf area, plant height, ear height, plant and ear height ratio. The manually measured root diameter was correlated with the image-derived root diameter (r = 0.97) and the right and left opening angles with values of r = 0.96 and 0.94 respectively. The results presented in this study show that an automated root phenotyping protocol can be adopted under REST software that allows an adequate level of phenotypic investigation for the evaluation of genotypes and physiological studies.
dc.format.extentxvi, 63 páginas
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleFenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
dc.typeTrabajo de grado - Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programMedellín - Ciencias Agrarias - Maestría en Ciencias Agrarias
dc.description.degreelevelMaestría
dc.description.degreenameMagister en Ciencias Agrarias
dc.description.researchareaMejoramiento genético de plantas
dc.identifier.instnameUniversidad Nacional de Colombia
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourlhttps://repositorio.unal.edu.co/
dc.publisher.departmentDepartamento de Agronómicas
dc.publisher.facultyFacultad de Ciencias Agrarias
dc.publisher.placeMedellín, Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellín
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.lembCorn - Roots -Anatomy
dc.subject.lembMaíz - Anatomía de las raíces
dc.subject.proposalFenotipado
dc.subject.proposalArquitectura del sistema de raíces
dc.subject.proposalImágenes digitales
dc.subject.proposalSoftware REST
dc.subject.proposalPhenotyping
dc.subject.proposalDigital imaging
dc.subject.proposalRoot system architecture
dc.title.translatedHigh -throughput phenotyping using digital image analysis in maize roots
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2
dcterms.audience.professionaldevelopmentEstudiantes
dcterms.audience.professionaldevelopmentInvestigadores
dcterms.audience.professionaldevelopmentMaestros
dc.description.curricularareaÁrea Curricular en Producción Agraria Sostenible


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