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dc.contributor.author
Sergent, Anne Sophie  
dc.contributor.author
Segura, Vincent  
dc.contributor.author
Charpentier, Jean Paul  
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Dalla Salda, Guillermina  
dc.contributor.author
Fernandez, Maria Elena  
dc.contributor.author
Rozenberg, Philippe  
dc.contributor.author
Martínez Meier, Alejandro Gabriel  
dc.date.available
2021-12-20T20:20:16Z  
dc.date.issued
2020-04  
dc.identifier.citation
Sergent, Anne Sophie; Segura, Vincent; Charpentier, Jean Paul; Dalla Salda, Guillermina; Fernandez, Maria Elena; et al.; Assessment of resistance to xylem cavitation in cordilleran cypress using near-infrared spectroscopy; Elsevier Science; Forest Ecology and Management; 462; 4-2020; 1-9  
dc.identifier.issn
0378-1127  
dc.identifier.uri
http://hdl.handle.net/11336/149053  
dc.description.abstract
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 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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.relation
http://hdl.handle.net/11336/131130  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AUSTROCEDRUS CHILENSIS  
dc.subject
BASIC WOOD DENSITY  
dc.subject
HIGH-THROUGHPUT PHENOTYPING  
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NIR SPECTROSCOPY  
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VULNERABILITY TO XYLEM CAVITATION  
dc.subject.classification
Silvicultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Assessment of resistance to xylem cavitation in cordilleran cypress using near-infrared spectroscopy  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-09-06T18:26:50Z  
dc.journal.volume
462  
dc.journal.pagination
1-9  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Sergent, Anne Sophie. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina  
dc.description.fil
Fil: Segura, Vincent. Institut National de la Recherche Agronomique; Francia  
dc.description.fil
Fil: Charpentier, Jean Paul. Institut National de la Recherche Agronomique; Francia  
dc.description.fil
Fil: Dalla Salda, Guillermina. Instituto Nacional de Tecnología Agropecuaria; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina  
dc.description.fil
Fil: Fernandez, Maria Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Grupo de Ecología Forestal; Argentina  
dc.description.fil
Fil: Rozenberg, Philippe. Institut National de la Recherche Agronomique; Francia  
dc.description.fil
Fil: Martínez Meier, Alejandro Gabriel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche; Argentina  
dc.journal.title
Forest Ecology and Management  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378112719322698  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.foreco.2020.117943