Analysis of mixed data to select bananas clones (Musa SPP.) to be included in a germplasm bank
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 establish...
| Autores principales: | , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Sociedad Argentina de Genética
2021
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/10428 https://sag.org.ar/jbag/project/vol-xxxii-issue-1-2/ |
| _version_ | 1855484588608978944 |
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| author | Del Medico, Ana Paula Tenaglia, Gerardo Carlos Lavalle, Andrea Lina Vitelleschi, María Susana Pratta, Guillermo Raúl |
| author_browse | Del Medico, Ana Paula Lavalle, Andrea Lina Pratta, Guillermo Raúl Tenaglia, Gerardo Carlos Vitelleschi, María Susana |
| author_facet | Del Medico, Ana Paula Tenaglia, Gerardo Carlos Lavalle, Andrea Lina Vitelleschi, María Susana Pratta, Guillermo Raúl |
| author_sort | Del Medico, Ana Paula |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA10428 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Sociedad Argentina de Genética |
| publisherStr | Sociedad Argentina de Genética |
| record_format | dspace |
| spelling | INTA104282024-11-20T12:05:46Z 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 Del Medico, Ana Paula Tenaglia, Gerardo Carlos Lavalle, Andrea Lina Vitelleschi, María Susana Pratta, Guillermo Raúl Musaceae Análisis Multivariante Germoplasma Banano Colecciones de Material Genético Clones Multivariate Analysis Germplasm Bananas Germplasm Collections Asexual Hybrid 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. En un híbrido de reproducción asexual como banana (Musa spp.), la evaluación de los clones en el corto plazo es limitada debido a que generalmente no se cuenta con el número adecuado de repeticiones. El objetivo de este trabajo es aplicar la técnica de Análisis Factorial Múltiple de Datos Mixtos (AFMmix) como una herramienta para establecer criterios objetivos de manera de identificar clones de banana que preserven la variabilidad de los caracteres cualitativos y cuantitativos. A largo plazo, el objetivo es desarrollar un banco de germoplasma de banana. Se aplicó el AFMmix a una población de 124 clones de banana recolectados de diferentes campos de productores y cuatro testigos comerciales. Se evaluaron dos grupos de variables relacionadas con la aptitud agronómica de los clones, uno compuesto por nueve caracteres cuantitativos, y el otro, por tres caracteres cualitativos dicotómicos. Se construyó un Índice de Selección (IS) a partir de las coordenadas del AFMmix de manera de ordenar a los clones de banana para seleccionar un subconjunto de ellos que permita conservar la variabilidad genética existente. Los dos primeros ejes del AFMmix explicaron un 49,47% de la variabilidad total de los datos. Se caracterizó satisfactoriamente al conjunto de clones de banana a través de las variables cuantitativas y cualitativas. A largo plazo, en la creación de un banco de germoplasma de banana se debe considerar a la altura y diámetro de la planta, al peso del raquis y peso de las manos, y al carácter cualitativo frondosidad de la planta. IPAF NEA Fil: Del Medico, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina Fil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigación y Desarrollo Tecnológico para la Agricultura Familiar. Instituto de Investigación y Desarrollo Tecnológico para la Agricultura Familiar Región Noreste. Área de Investigación Para la Agricultura Familiar (AIPAF-NEA); Argentina Fil: Lavalle, Andrea. Universidad Nacional del Comahue, Departamento de Estadística; Argentina Fil: Vitelleschi, María Susana. Universidad Nacional de Rosario. Consejo de Investigaciones de la Universidad Nacional de Rosario. Instituto de Investigaciones Teóricas y Aplicadas de la Escuela de Estadística (IITAE); Argentina Fil: Pratta, Guillermo. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina Fil: Pratta, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina 2021-10-06T12:07:43Z 2021-10-06T12:07:43Z 2021-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishVersion http://hdl.handle.net/20.500.12123/10428 https://sag.org.ar/jbag/project/vol-xxxii-issue-1-2/ 1852-6233 (Online) eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Sociedad Argentina de Genética BAG. Journal of basic and applied genetics 32 (1) : 25-42. (July 2021) |
| spellingShingle | Musaceae Análisis Multivariante Germoplasma Banano Colecciones de Material Genético Clones Multivariate Analysis Germplasm Bananas Germplasm Collections Asexual Hybrid Del Medico, 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 |
| title | 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_short | 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 |
| topic | Musaceae Análisis Multivariante Germoplasma Banano Colecciones de Material Genético Clones Multivariate Analysis Germplasm Bananas Germplasm Collections Asexual Hybrid |
| url | http://hdl.handle.net/20.500.12123/10428 https://sag.org.ar/jbag/project/vol-xxxii-issue-1-2/ |
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