Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis
- Autores
- Del Medico, Ana Paula; Vitelleschi, María Susana; Lavalle, Andrea Lina; Tenaglia, Gerardo Carlos; Pratta, Guillermo Raúl
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Banana (Musa spp.) is an important crop in the economies of many developing countries. In the north of Argentina, a subtropical region, banana plants grow in a suboptimal environment that limits yield because only one harvest per year is achieved. The objective of this work was to characterize the agroecological aptitude of Formosa, Argentina, for banana production through the behavior of three varieties of international use: Williams, Jaffa and Grand Naine, evaluated over five consecutive years. The three-way data analysis technique called Multiple Factor Analysis (MFA) was used for evaluating the varieties’ performances across cycles of production. The results allowed for inferring the existence of a genotype x environment interaction (GEI), corroborated by two-way factorial ANOVA. In order to determine how this suboptimal environment affected the development of each genotype of this perennial crop, Dual Multiple Factor Analysis (DMFA) was applied to jointly analyze the correlation structure between the traits that contributed to the performance of each variety in each year. The correlation structures between variables were different in each population and varied between years. All traits showed great variation between the years and genotypes, with the fruit peel thickness being the most discrepant throughout the years. However, Formosa appeared as a promising subtropical agroecological environment to produce banana because the varieties’ performances were acceptable for large-scale production systems. In addition to evaluating the adequate aptitude for cultivating banana in Formosa considering the significant effect of the GEIs, this research made a methodological contribution by proposing the use of three-way data analysis in Agronomy Science via MFA and DMFA.
IPAF Región Noreste
Fil: Del Medico, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina
Fil: Del Medico, Ana Paula. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina
Fil: Vitelleschi, María Susana. Universidad Nacional de Rosario. Facultad de Ciencias Económicas y Estadística; Argentina
Fil: Lavalle, Andrea Lina. Universidad Nacional del Comahue. Departamento de Estadística; Argentina
Fil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación y Desarrollo Tecnológico para la Agricultura Familiar Región Noreste; Argentina
Fil: Pratta, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina
Fil: Pratta, Guillermo. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina - Fuente
- Agriculture 14 (11) : 1904 (October 2024)
- Materia
-
Banano
Producción
Interacción Genotipo Ambiente
Formosa (Argentina)
Análisis de Factores
Bananas
Production
Genotype-environment Interaction
Factor Analysis
Agroecology
Agroecología - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/20339
Ver los metadatos del registro completo
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Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor AnalysisDel Medico, Ana PaulaVitelleschi, María SusanaLavalle, Andrea LinaTenaglia, Gerardo CarlosPratta, Guillermo RaúlBananoProducciónInteracción Genotipo AmbienteFormosa (Argentina)Análisis de FactoresBananasProductionGenotype-environment InteractionFactor AnalysisAgroecologyAgroecologíaBanana (Musa spp.) is an important crop in the economies of many developing countries. In the north of Argentina, a subtropical region, banana plants grow in a suboptimal environment that limits yield because only one harvest per year is achieved. The objective of this work was to characterize the agroecological aptitude of Formosa, Argentina, for banana production through the behavior of three varieties of international use: Williams, Jaffa and Grand Naine, evaluated over five consecutive years. The three-way data analysis technique called Multiple Factor Analysis (MFA) was used for evaluating the varieties’ performances across cycles of production. The results allowed for inferring the existence of a genotype x environment interaction (GEI), corroborated by two-way factorial ANOVA. In order to determine how this suboptimal environment affected the development of each genotype of this perennial crop, Dual Multiple Factor Analysis (DMFA) was applied to jointly analyze the correlation structure between the traits that contributed to the performance of each variety in each year. The correlation structures between variables were different in each population and varied between years. All traits showed great variation between the years and genotypes, with the fruit peel thickness being the most discrepant throughout the years. However, Formosa appeared as a promising subtropical agroecological environment to produce banana because the varieties’ performances were acceptable for large-scale production systems. In addition to evaluating the adequate aptitude for cultivating banana in Formosa considering the significant effect of the GEIs, this research made a methodological contribution by proposing the use of three-way data analysis in Agronomy Science via MFA and DMFA.IPAF Región NoresteFil: Del Medico, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); ArgentinaFil: Del Medico, Ana Paula. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); ArgentinaFil: Vitelleschi, María Susana. Universidad Nacional de Rosario. Facultad de Ciencias Económicas y Estadística; ArgentinaFil: Lavalle, Andrea Lina. Universidad Nacional del Comahue. Departamento de Estadística; ArgentinaFil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación y Desarrollo Tecnológico para la Agricultura Familiar Región Noreste; ArgentinaFil: Pratta, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); ArgentinaFil: Pratta, Guillermo. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); ArgentinaMDPI2024-11-20T12:20:39Z2024-11-20T12:20:39Z2024-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/20339https://www.mdpi.com/2077-0472/14/11/19042077-0472https://doi.org/10.3390/agriculture14111904Agriculture 14 (11) : 1904 (October 2024)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:19:14Zoai:localhost:20.500.12123/20339instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:19:15.292INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| dc.title.none.fl_str_mv |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis |
| title |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis |
| spellingShingle |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis Del Medico, Ana Paula Banano Producción Interacción Genotipo Ambiente Formosa (Argentina) Análisis de Factores Bananas Production Genotype-environment Interaction Factor Analysis Agroecology Agroecología |
| title_short |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis |
| title_full |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis |
| title_fullStr |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis |
| title_full_unstemmed |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis |
| title_sort |
Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis |
| dc.creator.none.fl_str_mv |
Del Medico, Ana Paula Vitelleschi, María Susana Lavalle, Andrea Lina Tenaglia, Gerardo Carlos Pratta, Guillermo Raúl |
| author |
Del Medico, Ana Paula |
| author_facet |
Del Medico, Ana Paula Vitelleschi, María Susana Lavalle, Andrea Lina Tenaglia, Gerardo Carlos Pratta, Guillermo Raúl |
| author_role |
author |
| author2 |
Vitelleschi, María Susana Lavalle, Andrea Lina Tenaglia, Gerardo Carlos Pratta, Guillermo Raúl |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Banano Producción Interacción Genotipo Ambiente Formosa (Argentina) Análisis de Factores Bananas Production Genotype-environment Interaction Factor Analysis Agroecology Agroecología |
| topic |
Banano Producción Interacción Genotipo Ambiente Formosa (Argentina) Análisis de Factores Bananas Production Genotype-environment Interaction Factor Analysis Agroecology Agroecología |
| dc.description.none.fl_txt_mv |
Banana (Musa spp.) is an important crop in the economies of many developing countries. In the north of Argentina, a subtropical region, banana plants grow in a suboptimal environment that limits yield because only one harvest per year is achieved. The objective of this work was to characterize the agroecological aptitude of Formosa, Argentina, for banana production through the behavior of three varieties of international use: Williams, Jaffa and Grand Naine, evaluated over five consecutive years. The three-way data analysis technique called Multiple Factor Analysis (MFA) was used for evaluating the varieties’ performances across cycles of production. The results allowed for inferring the existence of a genotype x environment interaction (GEI), corroborated by two-way factorial ANOVA. In order to determine how this suboptimal environment affected the development of each genotype of this perennial crop, Dual Multiple Factor Analysis (DMFA) was applied to jointly analyze the correlation structure between the traits that contributed to the performance of each variety in each year. The correlation structures between variables were different in each population and varied between years. All traits showed great variation between the years and genotypes, with the fruit peel thickness being the most discrepant throughout the years. However, Formosa appeared as a promising subtropical agroecological environment to produce banana because the varieties’ performances were acceptable for large-scale production systems. In addition to evaluating the adequate aptitude for cultivating banana in Formosa considering the significant effect of the GEIs, this research made a methodological contribution by proposing the use of three-way data analysis in Agronomy Science via MFA and DMFA. IPAF Región Noreste Fil: Del Medico, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina Fil: Del Medico, Ana Paula. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina Fil: Vitelleschi, María Susana. Universidad Nacional de Rosario. Facultad de Ciencias Económicas y Estadística; Argentina Fil: Lavalle, Andrea Lina. Universidad Nacional del Comahue. Departamento de Estadística; Argentina Fil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación y Desarrollo Tecnológico para la Agricultura Familiar Región Noreste; Argentina Fil: Pratta, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina Fil: Pratta, Guillermo. Universidad Nacional de Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR); Argentina |
| description |
Banana (Musa spp.) is an important crop in the economies of many developing countries. In the north of Argentina, a subtropical region, banana plants grow in a suboptimal environment that limits yield because only one harvest per year is achieved. The objective of this work was to characterize the agroecological aptitude of Formosa, Argentina, for banana production through the behavior of three varieties of international use: Williams, Jaffa and Grand Naine, evaluated over five consecutive years. The three-way data analysis technique called Multiple Factor Analysis (MFA) was used for evaluating the varieties’ performances across cycles of production. The results allowed for inferring the existence of a genotype x environment interaction (GEI), corroborated by two-way factorial ANOVA. In order to determine how this suboptimal environment affected the development of each genotype of this perennial crop, Dual Multiple Factor Analysis (DMFA) was applied to jointly analyze the correlation structure between the traits that contributed to the performance of each variety in each year. The correlation structures between variables were different in each population and varied between years. All traits showed great variation between the years and genotypes, with the fruit peel thickness being the most discrepant throughout the years. However, Formosa appeared as a promising subtropical agroecological environment to produce banana because the varieties’ performances were acceptable for large-scale production systems. In addition to evaluating the adequate aptitude for cultivating banana in Formosa considering the significant effect of the GEIs, this research made a methodological contribution by proposing the use of three-way data analysis in Agronomy Science via MFA and DMFA. |
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2024 |
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2024-11-20T12:20:39Z 2024-11-20T12:20:39Z 2024-10 |
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http://hdl.handle.net/20.500.12123/20339 https://www.mdpi.com/2077-0472/14/11/1904 2077-0472 https://doi.org/10.3390/agriculture14111904 |
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