Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood

Autores
Barotto, Antonio José; Martinez Meier, Alejandro; Segura, Vincent; Monteoliva, Silvia Estela; Charpentier, Jean-Paul; Gyenge, Javier; Sergent, Anne Sophie; Millier, Frédéric; Rozenberg, Philippe; Fernandez, María Elena
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Tree breeding programs and wood industries require simple, time- and cost-effective techniques to process large volumes of samples. In recent decades, near-infrared spectroscopy (NIRS) has been acknowledged as one of the most powerful techniques for wood analysis, making it the most used tool for high-throughput phenotyping. Previous studies have shown that a significant number of anatomical, physical, chemical and mechanical wood properties can be estimated through NIRS, both for angiosperm and gymnosperm species. However, the ability of this technique to predict functional traits related to drought resistance has been poorly explored, especially in angiosperm species. This is particularly relevant since determining xylem hydraulic properties by conventional techniques is complex and time-consuming, clearly limiting its use in studies and applications that demand large amounts of samples. In this study, we measured several wood anatomical and hydraulic traits and collected NIR spectra in branches of two Eucalyptus L'Hér species. We developed NIRS calibration models and discussed their ability to accurately predict the studied traits. The models generated allowed us to adequately calibrate the reference traits, with high R2 (≥0.75) for traits such as P12, P88, the slope of the vulnerability curves to xylem embolism or the fiber wall fraction, and with lower R2 (0.39–0.52) for P50, maximum hydraulic conductivity or frequency of ray parenchyma. We found that certain wavenumbers improve models’ calibration, with those in the range of 4000–5500 cm−1 predicting the highest number of both anatomical and functional traits. We concluded that the use of NIRS allows calibrating models with potential predictive value not only for wood structural and chemical variables but also for anatomical and functional traits related to drought resistance in wood types with complex structure as eucalypts. These results are promising in light of the required knowledge about species and genotypes adaptability to global climatic change.
EEA Bariloche
Fil: Barotto, Antonio José. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Dendrología; Argentina
Fil: Martinez Meier, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Martinez Meier, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Martinez Meier, Alejandro. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Segura, Vincent. Institut national de la recherche agronomique (INRA). Université de Montpellier; Francia
Fil: Monteoliva, Silvia Estela. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Instituto de Fisiología Vegetal; Argentina
Fil: Monteoliva, Silvia Estela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología Vegetal; Argentina
Fil: Charpentier, Jean-Paul. Institut national de la recherche agronomique (INRA). Université de Montpellier; Francia
Fil: Gyenge, Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil. Grupo Forestal; Argentina
Fil: Gyenge, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gyenge, Javier. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Sergent, Anne Sophie. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Sergent, Anne Sophie. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Sergent, Anne Sophie. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Millier, Frédéric. INRA, Biologie intégrée pour la valorisation de la diversité des arbres et de la forêt (Biofora); France
Fil: Rozenberg, Philippe. INRA, Biologie intégrée pour la valorisation de la diversité des arbres et de la forêt (Biofora); France
Fil: Rozenberg, Philippe. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Fernandez, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil. Grupo Forestal; Argentina
Fil: Fernandez, Maria Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez, Maria Elena. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fuente
Tree Physiology 43 (3) : 501-514. (March 2023)
Materia
Eucalyptus
Wood
Infrared Spectrophotometry
Wood Properties
Wood Anatomy
Wood Density
Madera
Espectroscopia Infrarroja
Propiedades de la Madera
Anatomía de la Madera
Densidad de la Madera
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/18539

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spelling Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus woodBarotto, Antonio JoséMartinez Meier, AlejandroSegura, VincentMonteoliva, Silvia EstelaCharpentier, Jean-PaulGyenge, JavierSergent, Anne SophieMillier, FrédéricRozenberg, PhilippeFernandez, María ElenaEucalyptusWoodInfrared SpectrophotometryWood PropertiesWood AnatomyWood DensityMaderaEspectroscopia InfrarrojaPropiedades de la MaderaAnatomía de la MaderaDensidad de la MaderaTree breeding programs and wood industries require simple, time- and cost-effective techniques to process large volumes of samples. In recent decades, near-infrared spectroscopy (NIRS) has been acknowledged as one of the most powerful techniques for wood analysis, making it the most used tool for high-throughput phenotyping. Previous studies have shown that a significant number of anatomical, physical, chemical and mechanical wood properties can be estimated through NIRS, both for angiosperm and gymnosperm species. However, the ability of this technique to predict functional traits related to drought resistance has been poorly explored, especially in angiosperm species. This is particularly relevant since determining xylem hydraulic properties by conventional techniques is complex and time-consuming, clearly limiting its use in studies and applications that demand large amounts of samples. In this study, we measured several wood anatomical and hydraulic traits and collected NIR spectra in branches of two Eucalyptus L'Hér species. We developed NIRS calibration models and discussed their ability to accurately predict the studied traits. The models generated allowed us to adequately calibrate the reference traits, with high R2 (≥0.75) for traits such as P12, P88, the slope of the vulnerability curves to xylem embolism or the fiber wall fraction, and with lower R2 (0.39–0.52) for P50, maximum hydraulic conductivity or frequency of ray parenchyma. We found that certain wavenumbers improve models’ calibration, with those in the range of 4000–5500 cm−1 predicting the highest number of both anatomical and functional traits. We concluded that the use of NIRS allows calibrating models with potential predictive value not only for wood structural and chemical variables but also for anatomical and functional traits related to drought resistance in wood types with complex structure as eucalypts. These results are promising in light of the required knowledge about species and genotypes adaptability to global climatic change.EEA BarilocheFil: Barotto, Antonio José. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Dendrología; ArgentinaFil: Martinez Meier, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Martinez Meier, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Martinez Meier, Alejandro. International Associated Laboratory FORESTIA, INRA France-INTA; ArgentinaFil: Segura, Vincent. Institut national de la recherche agronomique (INRA). Université de Montpellier; FranciaFil: Monteoliva, Silvia Estela. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Instituto de Fisiología Vegetal; ArgentinaFil: Monteoliva, Silvia Estela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología Vegetal; ArgentinaFil: Charpentier, Jean-Paul. Institut national de la recherche agronomique (INRA). Université de Montpellier; FranciaFil: Gyenge, Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil. Grupo Forestal; ArgentinaFil: Gyenge, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gyenge, Javier. International Associated Laboratory FORESTIA, INRA France-INTA; ArgentinaFil: Sergent, Anne Sophie. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Sergent, Anne Sophie. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Sergent, Anne Sophie. International Associated Laboratory FORESTIA, INRA France-INTA; ArgentinaFil: Millier, Frédéric. INRA, Biologie intégrée pour la valorisation de la diversité des arbres et de la forêt (Biofora); FranceFil: Rozenberg, Philippe. INRA, Biologie intégrée pour la valorisation de la diversité des arbres et de la forêt (Biofora); FranceFil: Rozenberg, Philippe. International Associated Laboratory FORESTIA, INRA France-INTA; ArgentinaFil: Fernandez, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil. Grupo Forestal; ArgentinaFil: Fernandez, Maria Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fernandez, Maria Elena. International Associated Laboratory FORESTIA, INRA France-INTA; ArgentinaOxford University Press2024-07-17T13:17:53Z2024-07-17T13:17:53Z2023-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/18539https://academic.oup.com/treephys/article/43/3/501/68312101758-4469https://doi.org/10.1093/treephys/tpac132Tree Physiology 43 (3) : 501-514. (March 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:50:30Zoai:localhost:20.500.12123/18539instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:50:30.936INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
title Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
spellingShingle Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
Barotto, Antonio José
Eucalyptus
Wood
Infrared Spectrophotometry
Wood Properties
Wood Anatomy
Wood Density
Madera
Espectroscopia Infrarroja
Propiedades de la Madera
Anatomía de la Madera
Densidad de la Madera
title_short Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
title_full Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
title_fullStr Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
title_full_unstemmed Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
title_sort Use of near-infrared spectroscopy to estimate physical, anatomical and hydraulic properties of Eucalyptus wood
dc.creator.none.fl_str_mv Barotto, Antonio José
Martinez Meier, Alejandro
Segura, Vincent
Monteoliva, Silvia Estela
Charpentier, Jean-Paul
Gyenge, Javier
Sergent, Anne Sophie
Millier, Frédéric
Rozenberg, Philippe
Fernandez, María Elena
author Barotto, Antonio José
author_facet Barotto, Antonio José
Martinez Meier, Alejandro
Segura, Vincent
Monteoliva, Silvia Estela
Charpentier, Jean-Paul
Gyenge, Javier
Sergent, Anne Sophie
Millier, Frédéric
Rozenberg, Philippe
Fernandez, María Elena
author_role author
author2 Martinez Meier, Alejandro
Segura, Vincent
Monteoliva, Silvia Estela
Charpentier, Jean-Paul
Gyenge, Javier
Sergent, Anne Sophie
Millier, Frédéric
Rozenberg, Philippe
Fernandez, María Elena
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Eucalyptus
Wood
Infrared Spectrophotometry
Wood Properties
Wood Anatomy
Wood Density
Madera
Espectroscopia Infrarroja
Propiedades de la Madera
Anatomía de la Madera
Densidad de la Madera
topic Eucalyptus
Wood
Infrared Spectrophotometry
Wood Properties
Wood Anatomy
Wood Density
Madera
Espectroscopia Infrarroja
Propiedades de la Madera
Anatomía de la Madera
Densidad de la Madera
dc.description.none.fl_txt_mv Tree breeding programs and wood industries require simple, time- and cost-effective techniques to process large volumes of samples. In recent decades, near-infrared spectroscopy (NIRS) has been acknowledged as one of the most powerful techniques for wood analysis, making it the most used tool for high-throughput phenotyping. Previous studies have shown that a significant number of anatomical, physical, chemical and mechanical wood properties can be estimated through NIRS, both for angiosperm and gymnosperm species. However, the ability of this technique to predict functional traits related to drought resistance has been poorly explored, especially in angiosperm species. This is particularly relevant since determining xylem hydraulic properties by conventional techniques is complex and time-consuming, clearly limiting its use in studies and applications that demand large amounts of samples. In this study, we measured several wood anatomical and hydraulic traits and collected NIR spectra in branches of two Eucalyptus L'Hér species. We developed NIRS calibration models and discussed their ability to accurately predict the studied traits. The models generated allowed us to adequately calibrate the reference traits, with high R2 (≥0.75) for traits such as P12, P88, the slope of the vulnerability curves to xylem embolism or the fiber wall fraction, and with lower R2 (0.39–0.52) for P50, maximum hydraulic conductivity or frequency of ray parenchyma. We found that certain wavenumbers improve models’ calibration, with those in the range of 4000–5500 cm−1 predicting the highest number of both anatomical and functional traits. We concluded that the use of NIRS allows calibrating models with potential predictive value not only for wood structural and chemical variables but also for anatomical and functional traits related to drought resistance in wood types with complex structure as eucalypts. These results are promising in light of the required knowledge about species and genotypes adaptability to global climatic change.
EEA Bariloche
Fil: Barotto, Antonio José. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Dendrología; Argentina
Fil: Martinez Meier, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Martinez Meier, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Martinez Meier, Alejandro. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Segura, Vincent. Institut national de la recherche agronomique (INRA). Université de Montpellier; Francia
Fil: Monteoliva, Silvia Estela. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Instituto de Fisiología Vegetal; Argentina
Fil: Monteoliva, Silvia Estela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología Vegetal; Argentina
Fil: Charpentier, Jean-Paul. Institut national de la recherche agronomique (INRA). Université de Montpellier; Francia
Fil: Gyenge, Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil. Grupo Forestal; Argentina
Fil: Gyenge, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gyenge, Javier. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Sergent, Anne Sophie. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Sergent, Anne Sophie. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Sergent, Anne Sophie. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Millier, Frédéric. INRA, Biologie intégrée pour la valorisation de la diversité des arbres et de la forêt (Biofora); France
Fil: Rozenberg, Philippe. INRA, Biologie intégrée pour la valorisation de la diversité des arbres et de la forêt (Biofora); France
Fil: Rozenberg, Philippe. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
Fil: Fernandez, Maria Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Tandil. Grupo Forestal; Argentina
Fil: Fernandez, Maria Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez, Maria Elena. International Associated Laboratory FORESTIA, INRA France-INTA; Argentina
description Tree breeding programs and wood industries require simple, time- and cost-effective techniques to process large volumes of samples. In recent decades, near-infrared spectroscopy (NIRS) has been acknowledged as one of the most powerful techniques for wood analysis, making it the most used tool for high-throughput phenotyping. Previous studies have shown that a significant number of anatomical, physical, chemical and mechanical wood properties can be estimated through NIRS, both for angiosperm and gymnosperm species. However, the ability of this technique to predict functional traits related to drought resistance has been poorly explored, especially in angiosperm species. This is particularly relevant since determining xylem hydraulic properties by conventional techniques is complex and time-consuming, clearly limiting its use in studies and applications that demand large amounts of samples. In this study, we measured several wood anatomical and hydraulic traits and collected NIR spectra in branches of two Eucalyptus L'Hér species. We developed NIRS calibration models and discussed their ability to accurately predict the studied traits. The models generated allowed us to adequately calibrate the reference traits, with high R2 (≥0.75) for traits such as P12, P88, the slope of the vulnerability curves to xylem embolism or the fiber wall fraction, and with lower R2 (0.39–0.52) for P50, maximum hydraulic conductivity or frequency of ray parenchyma. We found that certain wavenumbers improve models’ calibration, with those in the range of 4000–5500 cm−1 predicting the highest number of both anatomical and functional traits. We concluded that the use of NIRS allows calibrating models with potential predictive value not only for wood structural and chemical variables but also for anatomical and functional traits related to drought resistance in wood types with complex structure as eucalypts. These results are promising in light of the required knowledge about species and genotypes adaptability to global climatic change.
publishDate 2023
dc.date.none.fl_str_mv 2023-03
2024-07-17T13:17:53Z
2024-07-17T13:17:53Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/18539
https://academic.oup.com/treephys/article/43/3/501/6831210
1758-4469
https://doi.org/10.1093/treephys/tpac132
url http://hdl.handle.net/20.500.12123/18539
https://academic.oup.com/treephys/article/43/3/501/6831210
https://doi.org/10.1093/treephys/tpac132
identifier_str_mv 1758-4469
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv Tree Physiology 43 (3) : 501-514. (March 2023)
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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