Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits

Autores
Maulion, Evangelina; Arroyo, Luis Enrique; Daorden, Maria Elena; Valentini, Gabriel Hugo; Cervigni, Gerardo Domingo Lucio
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Nowadays, although there are several studies based on peach phenotypic diversity and adaptability,there is no current research regarding associations among characters using multivariate statistical meth-ods which provide more trustable conclusions than bivariate analysis. For this reason, we evaluated notonly the adaptability of the accessions but also the relationships among qualitative and quantitative traitsapplying Multiple Correspondence Analysis and Factor Analysis, respectively. The study was carried outon seventy-seven nectarine and one hundred and thirty-two peach accessions grown in Argentina thatwere characterized with 35 fruit quality, agronomic and phenological traits during 3 seasons. MultipleCorrespondence Analysis revealed that freestone trait would be associated with strong anthocyanin col-oration of the flesh around the brown dark stone while semi-freestone trait would be related to weakor no anthocyanin coloration of the flesh around the light brown stone. Then, Factor Analysis enabledus to identify positive relationships between blooming and sprouting date; harvesting period and yieldand among fruit development period, harvesting date, fruit weight and soluble solid content. In addition,‘phenology traits’, ‘productivity’ and ‘fruit quality and reaping time’ would be unrelated to each other.Furthermore, the agglomerative hierarchical cluster analysis grouped the accessions in accordance totheir similarities and allowed the identification of the most adapted cultivars. We have demonstratedthat this approach is a powerful tool that should be considered for further studies on peach germplasmand it has also the possibility to be applied for other fruit species. Finally, the results of this study pro-vide valuable information for germplasm characterization and for breeding practices aiming to developaccessions adapted to the climatic conditions of the northern of Buenos Aires province.
EEA San Pedro
Fil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
Fil: Arroyo, Luis Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Daorden, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
Fuente
Scientia horticulturae, 198 : 385-397. (2016)
Materia
Durazno
Prunus persica
Peach
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traitsMaulion, EvangelinaArroyo, Luis EnriqueDaorden, Maria ElenaValentini, Gabriel HugoCervigni, Gerardo Domingo LucioDuraznoPrunus persicaPeachNowadays, although there are several studies based on peach phenotypic diversity and adaptability,there is no current research regarding associations among characters using multivariate statistical meth-ods which provide more trustable conclusions than bivariate analysis. For this reason, we evaluated notonly the adaptability of the accessions but also the relationships among qualitative and quantitative traitsapplying Multiple Correspondence Analysis and Factor Analysis, respectively. The study was carried outon seventy-seven nectarine and one hundred and thirty-two peach accessions grown in Argentina thatwere characterized with 35 fruit quality, agronomic and phenological traits during 3 seasons. MultipleCorrespondence Analysis revealed that freestone trait would be associated with strong anthocyanin col-oration of the flesh around the brown dark stone while semi-freestone trait would be related to weakor no anthocyanin coloration of the flesh around the light brown stone. Then, Factor Analysis enabledus to identify positive relationships between blooming and sprouting date; harvesting period and yieldand among fruit development period, harvesting date, fruit weight and soluble solid content. In addition,‘phenology traits’, ‘productivity’ and ‘fruit quality and reaping time’ would be unrelated to each other.Furthermore, the agglomerative hierarchical cluster analysis grouped the accessions in accordance totheir similarities and allowed the identification of the most adapted cultivars. We have demonstratedthat this approach is a powerful tool that should be considered for further studies on peach germplasmand it has also the possibility to be applied for other fruit species. Finally, the results of this study pro-vide valuable information for germplasm characterization and for breeding practices aiming to developaccessions adapted to the climatic conditions of the northern of Buenos Aires province.EEA San PedroFil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos; ArgentinaFil: Arroyo, Luis Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; ArgentinaFil: Daorden, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; ArgentinaFil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; ArgentinaFil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina2017-03-01T18:54:51Z2017-03-01T18:54:51Z2016-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/50http://www.sciencedirect.com/science/article/pii/S0304423815302910?via%3Dihub0304-4238https://doi.org/10.1016/j.scienta.2015.11.017Scientia horticulturae, 198 : 385-397. (2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:05Zoai:localhost:20.500.12123/50instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:05.328INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
title Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
spellingShingle Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
Maulion, Evangelina
Durazno
Prunus persica
Peach
title_short Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
title_full Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
title_fullStr Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
title_full_unstemmed Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
title_sort Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
dc.creator.none.fl_str_mv Maulion, Evangelina
Arroyo, Luis Enrique
Daorden, Maria Elena
Valentini, Gabriel Hugo
Cervigni, Gerardo Domingo Lucio
author Maulion, Evangelina
author_facet Maulion, Evangelina
Arroyo, Luis Enrique
Daorden, Maria Elena
Valentini, Gabriel Hugo
Cervigni, Gerardo Domingo Lucio
author_role author
author2 Arroyo, Luis Enrique
Daorden, Maria Elena
Valentini, Gabriel Hugo
Cervigni, Gerardo Domingo Lucio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Durazno
Prunus persica
Peach
topic Durazno
Prunus persica
Peach
dc.description.none.fl_txt_mv Nowadays, although there are several studies based on peach phenotypic diversity and adaptability,there is no current research regarding associations among characters using multivariate statistical meth-ods which provide more trustable conclusions than bivariate analysis. For this reason, we evaluated notonly the adaptability of the accessions but also the relationships among qualitative and quantitative traitsapplying Multiple Correspondence Analysis and Factor Analysis, respectively. The study was carried outon seventy-seven nectarine and one hundred and thirty-two peach accessions grown in Argentina thatwere characterized with 35 fruit quality, agronomic and phenological traits during 3 seasons. MultipleCorrespondence Analysis revealed that freestone trait would be associated with strong anthocyanin col-oration of the flesh around the brown dark stone while semi-freestone trait would be related to weakor no anthocyanin coloration of the flesh around the light brown stone. Then, Factor Analysis enabledus to identify positive relationships between blooming and sprouting date; harvesting period and yieldand among fruit development period, harvesting date, fruit weight and soluble solid content. In addition,‘phenology traits’, ‘productivity’ and ‘fruit quality and reaping time’ would be unrelated to each other.Furthermore, the agglomerative hierarchical cluster analysis grouped the accessions in accordance totheir similarities and allowed the identification of the most adapted cultivars. We have demonstratedthat this approach is a powerful tool that should be considered for further studies on peach germplasmand it has also the possibility to be applied for other fruit species. Finally, the results of this study pro-vide valuable information for germplasm characterization and for breeding practices aiming to developaccessions adapted to the climatic conditions of the northern of Buenos Aires province.
EEA San Pedro
Fil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
Fil: Arroyo, Luis Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Daorden, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina
Fil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
description Nowadays, although there are several studies based on peach phenotypic diversity and adaptability,there is no current research regarding associations among characters using multivariate statistical meth-ods which provide more trustable conclusions than bivariate analysis. For this reason, we evaluated notonly the adaptability of the accessions but also the relationships among qualitative and quantitative traitsapplying Multiple Correspondence Analysis and Factor Analysis, respectively. The study was carried outon seventy-seven nectarine and one hundred and thirty-two peach accessions grown in Argentina thatwere characterized with 35 fruit quality, agronomic and phenological traits during 3 seasons. MultipleCorrespondence Analysis revealed that freestone trait would be associated with strong anthocyanin col-oration of the flesh around the brown dark stone while semi-freestone trait would be related to weakor no anthocyanin coloration of the flesh around the light brown stone. Then, Factor Analysis enabledus to identify positive relationships between blooming and sprouting date; harvesting period and yieldand among fruit development period, harvesting date, fruit weight and soluble solid content. In addition,‘phenology traits’, ‘productivity’ and ‘fruit quality and reaping time’ would be unrelated to each other.Furthermore, the agglomerative hierarchical cluster analysis grouped the accessions in accordance totheir similarities and allowed the identification of the most adapted cultivars. We have demonstratedthat this approach is a powerful tool that should be considered for further studies on peach germplasmand it has also the possibility to be applied for other fruit species. Finally, the results of this study pro-vide valuable information for germplasm characterization and for breeding practices aiming to developaccessions adapted to the climatic conditions of the northern of Buenos Aires province.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2017-03-01T18:54:51Z
2017-03-01T18:54:51Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
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status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/50
http://www.sciencedirect.com/science/article/pii/S0304423815302910?via%3Dihub
0304-4238
https://doi.org/10.1016/j.scienta.2015.11.017
url http://hdl.handle.net/20.500.12123/50
http://www.sciencedirect.com/science/article/pii/S0304423815302910?via%3Dihub
https://doi.org/10.1016/j.scienta.2015.11.017
identifier_str_mv 0304-4238
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Scientia horticulturae, 198 : 385-397. (2016)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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