Mostrar el registro sencillo del ítem

resumen

Resumen
Characterizing drought resistance of forest trees is an important aim in the worldwide context of increasing forest decline and dieback. Furthermore, wood demand is increasing all around the world, urging the need for the domestication of native species and the selection of the most resistant individuals. While near-infrared spectroscopy is now recognized as an efficient tool to predict wood physical and chemical properties involves in wood quality, its [ver mas...]
dc.contributor.authorSergent, Anne Sophie
dc.contributor.authorSegura, Vincent
dc.contributor.authorCharpentier, Jean-Paul
dc.contributor.authorDalla Salda, Guillermina
dc.contributor.authorFernandez, María Elena
dc.contributor.authorRozenberg, Philippe
dc.contributor.authorMartinez Meier, Alejandro
dc.date.accessioned2020-03-10T15:30:43Z
dc.date.available2020-03-10T15:30:43Z
dc.date.issued2020-04
dc.identifier.issn0378-1127
dc.identifier.urihttp://hdl.handle.net/20.500.12123/6915
dc.description.abstractCharacterizing drought resistance of forest trees is an important aim in the worldwide context of increasing forest decline and dieback. Furthermore, wood demand is increasing all around the world, urging the need for the domestication of native species and the selection of the most resistant individuals. While near-infrared spectroscopy is now recognized as an efficient tool to predict wood physical and chemical properties involves in wood quality, its ability to predict wood hydraulic function remains anecdotic, although it has recently gained interest. In this study, we tested near-infrared spectroscopy as a high-throughput method for quantifying both resistance to cavitation and basic wood density in the South American conifer Austrocedrus chilensis. Models were obtained in two laboratories using the same sample set. To assess resistance to cavitation, vulnerability curves were obtained using the air-injection method. Basic wood density was measured in the same samples as used for resistance to cavitation. Partial least squares regression models with cross-validation were used to establish relationships between the NIRS spectra and wood traits. The accuracy of the models strongly depended on the traits being used for calibration. Models obtained in both laboratories were similar, demonstrating the genericity of the approach whatever equipment used. Promising results were obtained for two cavitation parameters (water potential at 12% and 50% of hydraulic conductivity loss) and basic wood density. Prediction errors for these traits were low. In contrast to studies at the interspecific level, basic wood density and resistance to cavitation were negatively correlated at the intraspecific level in the studied species, but our calibration models shown than basic wood density cannot be used as a good predictor of functional traits. The NIRS has high potential to be put into practice as a rapid, reliable, and non-destructive method to determine, resistance to xylem cavitation, a trait involved in drought resistance.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceForest ecology and management 462 : 117943. (2020)es_AR
dc.subjectBiología Forestales_AR
dc.subjectForestry Biologyeng
dc.subjectResistencia a la Sequíaes_AR
dc.subjectDrought Resistanceeng
dc.subjectMaderaes_AR
dc.subjectWoodeng
dc.subjectNothofaguses_AR
dc.subjectCupressuses_AR
dc.subjectInfrared Spectrophotometryeng
dc.subjectEspectroscopia Infrarroja
dc.subject.otherDensidad de la Maderaes_AR
dc.subject.otherAustrocedrus Chilensises_AR
dc.subject.otherCiprés de la Cordilleraes_AR
dc.subject.otherVulnerability to Xylem Cavitationeng
dc.titleAssessment of resistance to xylem cavitation in cordilleran cypress using near-infrared spectroscopyeng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEstación Experimental Agropecuaria Barilochees_AR
dc.description.filFil: Sergent, Anne Sophie. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Segura, Vincent. Institut national de la recherche agronomique (INRA). Université de Montpellier; Franciaes_AR
dc.description.filFil: Charpentier, Jean-Paul. Institut national de la recherche agronomique (INRA). Université de Montpellier; Franciaes_AR
dc.description.filFil: Dalla Salda, Guillermina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Fernandez, María Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experiemental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Rozenberg, Philippe. Institut national de la recherche agronomique (INRA). Biologie intégrée pour la valorisation de la diversité des arbres et de la forêt; Franciaes_AR
dc.description.filFil: Martinez Meier, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.subtypecientifico


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

common

Mostrar el registro sencillo del ítem