Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank

Autores
del Médico, Ana Paula; Tenaglia, Gerardo Carlos; Lavalle, Andrea Lina; Vitelleschi, María Susana; Pratta, Guillermo Raúl
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In an asexually reproducing hybrid such as banana (Musa spp.), the assessment of clones in the short term is limited because replications are frequently unavailable in the proper number. The aim of this work is to propose the Multiple Factor Analysis of Mixed Data (MFAmix) as a tool for establishing objective criteria to identify banana clones that preserve variability for qualitative and quantitative variables. In the long term, the aim is the development of a banana germplasm bank. MFAmix was applied on a population composed of 124 banana clones collected from different farmers? fields and four controls. Two groups of variables related to the agronomic aptitude of the clones were evaluated, one composed of nine quantitative variables, and the other, composed of three dichotomous qualitative variables. A Selection Index (SI) was built from the MFAmix coordinates in order to rank the clones and select a subset that allows to preserve the existing genetic variability. The first two axes of MFAmix explained a 49.47% of the total data variability. The set of the banana clones was successfully characterized based on quantitative and qualitative variables. In the long term, the creation of a banana germplasm bank should consider the height and diameter of the plant, the rachis bunch weight and the hands weight, and the qualitative variable plant leafiness.
Fil: del Médico, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación y Desarrollo Tecnológico para la Agricultura Familiar; Argentina
Fil: Lavalle, Andrea Lina. Universidad Nacional del Comahue; Argentina
Fil: Vitelleschi, María Susana. Universidad Nacional de Rosario. Consejo de Investigaciones de la Universidad de Rosario; Argentina
Fil: Pratta, Guillermo Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Materia
ASEXUAL HYBRID
COLLECTION OF GERMPLASM
MULTIVARIATE ANALYSIS
MUSACEAE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/182397
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/182397
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bankAnálisis de datos mixtos para seleccionar clones de banana (musa spp.) a ser incluidos en un banco de germoplasmadel Médico, Ana PaulaTenaglia, Gerardo CarlosLavalle, Andrea LinaVitelleschi, María SusanaPratta, Guillermo RaúlASEXUAL HYBRIDCOLLECTION OF GERMPLASMMULTIVARIATE ANALYSISMUSACEAEhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In an asexually reproducing hybrid such as banana (Musa spp.), the assessment of clones in the short term is limited because replications are frequently unavailable in the proper number. The aim of this work is to propose the Multiple Factor Analysis of Mixed Data (MFAmix) as a tool for establishing objective criteria to identify banana clones that preserve variability for qualitative and quantitative variables. In the long term, the aim is the development of a banana germplasm bank. MFAmix was applied on a population composed of 124 banana clones collected from different farmers? fields and four controls. Two groups of variables related to the agronomic aptitude of the clones were evaluated, one composed of nine quantitative variables, and the other, composed of three dichotomous qualitative variables. A Selection Index (SI) was built from the MFAmix coordinates in order to rank the clones and select a subset that allows to preserve the existing genetic variability. The first two axes of MFAmix explained a 49.47% of the total data variability. The set of the banana clones was successfully characterized based on quantitative and qualitative variables. In the long term, the creation of a banana germplasm bank should consider the height and diameter of the plant, the rachis bunch weight and the hands weight, and the qualitative variable plant leafiness.Fil: del Médico, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación y Desarrollo Tecnológico para la Agricultura Familiar; ArgentinaFil: Lavalle, Andrea Lina. Universidad Nacional del Comahue; ArgentinaFil: Vitelleschi, María Susana. Universidad Nacional de Rosario. Consejo de Investigaciones de la Universidad de Rosario; ArgentinaFil: Pratta, Guillermo Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaSociedad Argentina de Genética2021-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/182397del Médico, Ana Paula; Tenaglia, Gerardo Carlos; Lavalle, Andrea Lina; Vitelleschi, María Susana; Pratta, Guillermo Raúl; Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank; Sociedad Argentina de Genética; Journal of Basic and Applied Genetics; XXXI; 7-2021; 1-81852-6233CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.35407/bag.2020.32.01.04info:eu-repo/semantics/altIdentifier/url/https://sag.org.ar/jbag/project/vol-xxxii-issue-1-2/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:26:28Zoai:ri.conicet.gov.ar:11336/182397instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:26:29.196CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
Análisis de datos mixtos para seleccionar clones de banana (musa spp.) a ser incluidos en un banco de germoplasma
title Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
spellingShingle Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
del Médico, Ana Paula
ASEXUAL HYBRID
COLLECTION OF GERMPLASM
MULTIVARIATE ANALYSIS
MUSACEAE
title_short Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
title_full Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
title_fullStr Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
title_full_unstemmed Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
title_sort Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank
dc.creator.none.fl_str_mv del Médico, Ana Paula
Tenaglia, Gerardo Carlos
Lavalle, Andrea Lina
Vitelleschi, María Susana
Pratta, Guillermo Raúl
author del Médico, Ana Paula
author_facet del Médico, Ana Paula
Tenaglia, Gerardo Carlos
Lavalle, Andrea Lina
Vitelleschi, María Susana
Pratta, Guillermo Raúl
author_role author
author2 Tenaglia, Gerardo Carlos
Lavalle, Andrea Lina
Vitelleschi, María Susana
Pratta, Guillermo Raúl
author2_role author
author
author
author
dc.subject.none.fl_str_mv ASEXUAL HYBRID
COLLECTION OF GERMPLASM
MULTIVARIATE ANALYSIS
MUSACEAE
topic ASEXUAL HYBRID
COLLECTION OF GERMPLASM
MULTIVARIATE ANALYSIS
MUSACEAE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In an asexually reproducing hybrid such as banana (Musa spp.), the assessment of clones in the short term is limited because replications are frequently unavailable in the proper number. The aim of this work is to propose the Multiple Factor Analysis of Mixed Data (MFAmix) as a tool for establishing objective criteria to identify banana clones that preserve variability for qualitative and quantitative variables. In the long term, the aim is the development of a banana germplasm bank. MFAmix was applied on a population composed of 124 banana clones collected from different farmers? fields and four controls. Two groups of variables related to the agronomic aptitude of the clones were evaluated, one composed of nine quantitative variables, and the other, composed of three dichotomous qualitative variables. A Selection Index (SI) was built from the MFAmix coordinates in order to rank the clones and select a subset that allows to preserve the existing genetic variability. The first two axes of MFAmix explained a 49.47% of the total data variability. The set of the banana clones was successfully characterized based on quantitative and qualitative variables. In the long term, the creation of a banana germplasm bank should consider the height and diameter of the plant, the rachis bunch weight and the hands weight, and the qualitative variable plant leafiness.
Fil: del Médico, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación y Desarrollo Tecnológico para la Agricultura Familiar; Argentina
Fil: Lavalle, Andrea Lina. Universidad Nacional del Comahue; Argentina
Fil: Vitelleschi, María Susana. Universidad Nacional de Rosario. Consejo de Investigaciones de la Universidad de Rosario; Argentina
Fil: Pratta, Guillermo Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
description In an asexually reproducing hybrid such as banana (Musa spp.), the assessment of clones in the short term is limited because replications are frequently unavailable in the proper number. The aim of this work is to propose the Multiple Factor Analysis of Mixed Data (MFAmix) as a tool for establishing objective criteria to identify banana clones that preserve variability for qualitative and quantitative variables. In the long term, the aim is the development of a banana germplasm bank. MFAmix was applied on a population composed of 124 banana clones collected from different farmers? fields and four controls. Two groups of variables related to the agronomic aptitude of the clones were evaluated, one composed of nine quantitative variables, and the other, composed of three dichotomous qualitative variables. A Selection Index (SI) was built from the MFAmix coordinates in order to rank the clones and select a subset that allows to preserve the existing genetic variability. The first two axes of MFAmix explained a 49.47% of the total data variability. The set of the banana clones was successfully characterized based on quantitative and qualitative variables. In the long term, the creation of a banana germplasm bank should consider the height and diameter of the plant, the rachis bunch weight and the hands weight, and the qualitative variable plant leafiness.
publishDate 2021
dc.date.none.fl_str_mv 2021-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/182397
del Médico, Ana Paula; Tenaglia, Gerardo Carlos; Lavalle, Andrea Lina; Vitelleschi, María Susana; Pratta, Guillermo Raúl; Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank; Sociedad Argentina de Genética; Journal of Basic and Applied Genetics; XXXI; 7-2021; 1-8
1852-6233
CONICET Digital
CONICET
url http://hdl.handle.net/11336/182397
identifier_str_mv del Médico, Ana Paula; Tenaglia, Gerardo Carlos; Lavalle, Andrea Lina; Vitelleschi, María Susana; Pratta, Guillermo Raúl; Analysis of mixed data to select bananas clones (musa spp.) to be included in a germplasm bank; Sociedad Argentina de Genética; Journal of Basic and Applied Genetics; XXXI; 7-2021; 1-8
1852-6233
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.35407/bag.2020.32.01.04
info:eu-repo/semantics/altIdentifier/url/https://sag.org.ar/jbag/project/vol-xxxii-issue-1-2/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedad Argentina de Genética
publisher.none.fl_str_mv Sociedad Argentina de Genética
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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