Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis

Autores
del Médico, 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.
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: Vitelleschi, María Susana. Universidad Nacional de Rosario. Facultad de Ciencias Económicas y Estadística. Escuela de Estadística; Argentina
Fil: Lavalle, Andrea Lina. Universidad Nacional del Comahue; Argentina
Fil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación y Desarrollo Tecnológico para la Agricultura Familiar; 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
NEW CROPS INTRODUCTION
MULTIPLE FACTOR ANALYSIS
DUAL MULTIPLE FACTOR ANALYSIS
GENOTYPE BY ENVIRONMENT INTERACTION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/263048
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysisdel Médico, Ana PaulaVitelleschi, María SusanaLavalle, Andrea LinaTenaglia, Gerardo CarlosPratta, Guillermo RaúlNEW CROPS INTRODUCTIONMULTIPLE FACTOR ANALYSISDUAL MULTIPLE FACTOR ANALYSISGENOTYPE BY ENVIRONMENT INTERACTIONhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Banana (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.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: Vitelleschi, María Susana. Universidad Nacional de Rosario. Facultad de Ciencias Económicas y Estadística. Escuela de Estadística; ArgentinaFil: Lavalle, Andrea Lina. Universidad Nacional del Comahue; ArgentinaFil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación y Desarrollo Tecnológico para la Agricultura Familiar; 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; ArgentinaMultidisciplinary Digital Publishing Institute2024-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/263048del Médico, Ana Paula; Vitelleschi, María Susana; Lavalle, Andrea Lina; Tenaglia, Gerardo Carlos; Pratta, Guillermo Raúl; Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis; Multidisciplinary Digital Publishing Institute; Agriculture; 14; 11; 10-2024; 1-142077-0472CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/ 10.3390/agriculture14111904info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2077-0472/14/11/1904info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:04:50Zoai:ri.conicet.gov.ar:11336/263048instacron: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:34982025-10-22 12:04:51.27CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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 Médico, Ana Paula
NEW CROPS INTRODUCTION
MULTIPLE FACTOR ANALYSIS
DUAL MULTIPLE FACTOR ANALYSIS
GENOTYPE BY ENVIRONMENT INTERACTION
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 Médico, Ana Paula
Vitelleschi, María Susana
Lavalle, Andrea Lina
Tenaglia, Gerardo Carlos
Pratta, Guillermo Raúl
author del Médico, Ana Paula
author_facet del Médico, 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 NEW CROPS INTRODUCTION
MULTIPLE FACTOR ANALYSIS
DUAL MULTIPLE FACTOR ANALYSIS
GENOTYPE BY ENVIRONMENT INTERACTION
topic NEW CROPS INTRODUCTION
MULTIPLE FACTOR ANALYSIS
DUAL MULTIPLE FACTOR ANALYSIS
GENOTYPE BY ENVIRONMENT INTERACTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
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.
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: Vitelleschi, María Susana. Universidad Nacional de Rosario. Facultad de Ciencias Económicas y Estadística. Escuela de Estadística; Argentina
Fil: Lavalle, Andrea Lina. Universidad Nacional del Comahue; Argentina
Fil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación y Desarrollo Tecnológico para la Agricultura Familiar; 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 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.
publishDate 2024
dc.date.none.fl_str_mv 2024-10
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/11336/263048
del Médico, Ana Paula; Vitelleschi, María Susana; Lavalle, Andrea Lina; Tenaglia, Gerardo Carlos; Pratta, Guillermo Raúl; Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis; Multidisciplinary Digital Publishing Institute; Agriculture; 14; 11; 10-2024; 1-14
2077-0472
CONICET Digital
CONICET
url http://hdl.handle.net/11336/263048
identifier_str_mv del Médico, Ana Paula; Vitelleschi, María Susana; Lavalle, Andrea Lina; Tenaglia, Gerardo Carlos; Pratta, Guillermo Raúl; Agroecological Aptitude of the Northeast of Formosa (Argentinean Subtropical Region) for Banana Production Assessed by Multiple Factor Analysis; Multidisciplinary Digital Publishing Institute; Agriculture; 14; 11; 10-2024; 1-14
2077-0472
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/ 10.3390/agriculture14111904
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2077-0472/14/11/1904
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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 12.982451

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