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dc.contributor.author
Maulión, Evangelina
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dc.contributor.author
Arroyo, Luis Enrique
dc.contributor.author
Daorden, María Elena
dc.contributor.author
Valentini, Gabriel Hugo
dc.contributor.author
Cervigni, Gerardo Domingo Lucio
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dc.date.available
2018-07-17T20:04:49Z
dc.date.issued
2016-01
dc.identifier.citation
Maulión, Evangelina; Arroyo, Luis Enrique; Daorden, María Elena; Valentini, Gabriel Hugo; Cervigni, Gerardo Domingo Lucio; Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits; Elsevier Science; Scientia Horticulturae; 198; 1-2016; 385-397
dc.identifier.issn
0304-4238
dc.identifier.uri
http://hdl.handle.net/11336/52517
dc.description.abstract
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 methods which provide more trustable conclusions than bivariate analysis. For this reason, we evaluated not only the adaptability of the accessions but also the relationships among qualitative and quantitative traits applying Multiple Correspondence Analysis and Factor Analysis, respectively. The study was carried out on seventy-seven nectarine and one hundred and thirty-two peach accessions grown in Argentina that were characterized with 35 fruit quality, agronomic and phenological traits during 3 seasons. Multiple Correspondence Analysis revealed that freestone trait would be associated with strong anthocyanin coloration of the flesh around the brown dark stone while semi-freestone trait would be related to weak or no anthocyanin coloration of the flesh around the light brown stone. Then, Factor Analysis enabled us to identify positive relationships between blooming and sprouting date; harvesting period and yield and 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 to their similarities and allowed the identification of the most adapted cultivars. We have demonstrated that this approach is a powerful tool that should be considered for further studies on peach germplasm and it has also the possibility to be applied for other fruit species. Finally, the results of this study provide valuable information for germplasm characterization and for breeding practices aiming to develop accessions adapted to the climatic conditions of the northern of Buenos Aires province.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Morphological Characterization
dc.subject
Multivariate Analysis
dc.subject
Peach Breeding
dc.subject
Prunus Persica (L.) Batsch
dc.subject.classification
Otras Ciencias Biológicas
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dc.subject.classification
Ciencias Biológicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Performance profiling of Prunus persica (L.) Batsch collection and comprehensive association among fruit quality, agronomic and phenological traits
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-07-17T13:58:47Z
dc.journal.volume
198
dc.journal.pagination
385-397
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Maulión, Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosintéticos y Bioquímicos. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
dc.description.fil
Fil: Arroyo, Luis Enrique. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; Argentina
dc.description.fil
Fil: Daorden, María Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; Argentina
dc.description.fil
Fil: Valentini, Gabriel Hugo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria San Pedro; Argentina
dc.description.fil
Fil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosintéticos y Bioquímicos. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
dc.journal.title
Scientia Horticulturae
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.scienta.2015.11.017
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304423815302910
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