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Aims of the study: To describe the radial patterns of wood density, and to identify their main sources of variation, and the potential tradeoffs with mean tree growth, in two Eucalyptus species. Area of study: Mesopotamian (Corrientes and Entre Ríos provinces) and Pampean region (Buenos Aires province) of Argentina. Materials and methods: Eucalyptus grandis and Eucalyptus viminalis, growing in genetic trials installed in two sites per species were [ver mas...]
dc.contributor.authorAlarcon, Pamela Cecilia
dc.contributor.authorFernandez, María Elena
dc.contributor.authorOberschelp, Gustavo Pedro Javier
dc.contributor.authorPathauer, Pablo Santiago
dc.contributor.authorMartinez Meier, Alejandro
dc.date.accessioned2021-12-22T11:22:52Z
dc.date.available2021-12-22T11:22:52Z
dc.date.issued2021-09-17
dc.identifier.issn2171-9845 (online)
dc.identifier.otherhttps://doi.org/10.5424/fs/2021303-17208
dc.identifier.urihttp://hdl.handle.net/20.500.12123/10968
dc.identifier.urihttps://revistas.inia.es/index.php/fs/article/view/17208
dc.description.abstractAims of the study: To describe the radial patterns of wood density, and to identify their main sources of variation, and the potential tradeoffs with mean tree growth, in two Eucalyptus species. Area of study: Mesopotamian (Corrientes and Entre Ríos provinces) and Pampean region (Buenos Aires province) of Argentina. Materials and methods: Eucalyptus grandis and Eucalyptus viminalis, growing in genetic trials installed in two sites per species were studied. X-ray wood microdensity profiles were developed from core samples. Each profile was proportionally divided in 10 sections. Mean, maximum, minimum and the standard deviation of wood density, for each section were computed. Mean annual growth was used to study the relationships with wood microdensity variables. A linear mixed-effects model computed the significance of different sources of phenotypic variation. Pearson´s correlation computed the relationships between variables. Main results: The pattern of radial variation in E. grandis showed a decrease in wood density from pith to bark, mainly due to the decrease in minimum wood density, while in E. viminalis, wood density increased towards the outer wood. In both species, the standard deviation of the wood density increased along the radial profile from pith to bark. Significant variation in wood density was explained by site, provenance and clone/family effects. In E. grandis mean, maximum and minimum wood density were negatively correlated with mean growth, whereas in E. viminalis correlations were positive but close to zero. Research highlights: Both the pattern of radial variation of wood density and the relationship between wood density and mean growth were different in the studied Eucalyptus species, and they varied within species depending on the site they were growing and genetic provenance.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Españaes_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNFOR-1104073/AR./Bases silvícolas para sustentar la productividad de las plantaciones y los recursos del ambiente.es_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceForest Systems 30 (3) : e013 (2021)es_AR
dc.subjectDensidad de la Maderaes_AR
dc.subjectWood Densityeng
dc.subjectPropiedades de la Maderaes_AR
dc.subjectWood Propertieseng
dc.subjectProductos de la Maderaes_AR
dc.subjectWood Productseng
dc.subjectEucalyptus Grandises_AR
dc.subjectEucalyptus Viminalises_AR
dc.subjectArgentina
dc.subject.otherPlasticidad de la Madera
dc.titleSources of phenotypic variation of wood density and relationships with mean growth in two eucalyptus species in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.filFil: Alarcón, Pamela Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concordia; Argentina.es_AR
dc.description.filFil: Alarcón, Pamela Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Fernández, María Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Fernández, María Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil; Argentina.es_AR
dc.description.filFil: Oberschelp, Gustavo Pedro Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concordia; Argentina.es_AR
dc.description.filFil: Pathauer, Pablo Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina.es_AR
dc.description.filFil: Martínez Meier, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina.es_AR
dc.description.filFil: Martínez Meier, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.subtypecientifico


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