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

ilustraciones, diagramas, tablas

Autores:: Coronado Aleans, Verónica

Tipo de recurso:

Fecha de publicación:: 2022

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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network_acronym_str	UNACIONAL2
network_name_str	Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
dc.title.translated.eng.fl_str_mv	High -throughput phenotyping using digital image analysis in maize roots
title	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
spellingShingle	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.) Corn - Roots -Anatomy Maíz - Anatomía de las raíces Fenotipado Arquitectura del sistema de raíces Imágenes digitales Software REST Phenotyping Digital imaging Root system architecture
title_short	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
title_full	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
title_fullStr	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
title_full_unstemmed	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
title_sort	Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)
dc.creator.fl_str_mv	Coronado Aleans, Verónica
dc.contributor.advisor.none.fl_str_mv	Barrera Sánchez, Carlos Felipe Guzmán Hernández, Manuel Alejandro
dc.contributor.author.none.fl_str_mv	Coronado Aleans, Verónica
dc.subject.lemb.none.fl_str_mv	Corn - Roots -Anatomy Maíz - Anatomía de las raíces
topic	Corn - Roots -Anatomy Maíz - Anatomía de las raíces Fenotipado Arquitectura del sistema de raíces Imágenes digitales Software REST Phenotyping Digital imaging Root system architecture
dc.subject.proposal.spa.fl_str_mv	Fenotipado Arquitectura del sistema de raíces Imágenes digitales Software REST
dc.subject.proposal.eng.fl_str_mv	Phenotyping Digital imaging Root system architecture
description	ilustraciones, diagramas, tablas
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-08-18T15:39:57Z
dc.date.available.none.fl_str_mv	2022-08-18T15:39:57Z
dc.date.issued.none.fl_str_mv	2022
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/81948
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/81948 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-SinDerivadas 4.0 Internacional
dc.rights.uri.spa.fl_str_mv	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv	info:eu-repo/semantics/openAccess
rights_invalid_str_mv	Atribución-NoComercial-SinDerivadas 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2
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dc.format.extent.spa.fl_str_mv	xvi, 63 páginas
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Medellín - Ciencias Agrarias - Maestría en Ciencias Agrarias
dc.publisher.department.spa.fl_str_mv	Departamento de Agronómicas
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ciencias Agrarias
dc.publisher.place.spa.fl_str_mv	Medellín, Colombia
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Medellín
institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Barrera Sánchez, Carlos Felipe71b7afc32700d0a20b020422873d6e2f600Guzmán Hernández, Manuel Alejandrob7f8ed2286a591b9cc67a54b58f39eb5Coronado Aleans, Verónicaed63053d1a7482096a07a76e81db7ad56002022-08-18T15:39:57Z2022-08-18T15:39:57Z2022https://repositorio.unal.edu.co/handle/unal/81948Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramas, tablasCon 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.With 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.MaestríaMagister en Ciencias AgrariasMejoramiento genético de plantasÁrea Curricular en Producción Agraria Sosteniblexvi, 63 páginasapplication/pdfspaUniversidad Nacional de ColombiaMedellín - Ciencias Agrarias - Maestría en Ciencias AgrariasDepartamento de AgronómicasFacultad de Ciencias AgrariasMedellín, ColombiaUniversidad Nacional de Colombia - Sede MedellínFenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)High -throughput phenotyping using digital image analysis in maize rootsTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMArmengaud, P., Zambaux, K., Hills, A., Sulpice, R., Pattison, R. J., Blatt, M. 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The New phytologist, 177(2), 549–557.Corn - Roots -AnatomyMaíz - Anatomía de las raícesFenotipadoArquitectura del sistema de raícesImágenes digitalesSoftware RESTPhenotypingDigital imagingRoot system architectureEstudiantesInvestigadoresMaestrosORIGINAL1064995892.2021.pdf1064995892.2021.pdfTesis de Maestría en Ciencias Agrariasapplication/pdf2531685https://repositorio.unal.edu.co/bitstream/unal/81948/3/1064995892.2021.pdf2f6f1394e66bb23e2dd01d9321248393MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-84074https://repositorio.unal.edu.co/bitstream/unal/81948/4/license.txt8153f7789df02f0a4c9e079953658ab2MD54THUMBNAIL1064995892.2021.pdf.jpg1064995892.2021.pdf.jpgGenerated Thumbnailimage/jpeg4752https://repositorio.unal.edu.co/bitstream/unal/81948/5/1064995892.2021.pdf.jpg11f3c4bcf166c7dd90a8af83369d87b3MD55unal/81948oai:repositorio.unal.edu.co:unal/819482023-11-08 08:58:57.106Repositorio Institucional Universidad Nacional de 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Fenotipado de alto rendimiento mediante el análisis de imágenes digitales en raíces de maíz (Zea mays L.)

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