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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/18539
Ver los metadatos del registro completo
id |
INTADig_e82bf21399a7463a8ee691e729930993 |
---|---|
oai_identifier_str |
oai:localhost:20.500.12123/18539 |
network_acronym_str |
INTADig |
repository_id_str |
l |
network_name_str |
INTA Digital (INTA) |
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 http://creativecommons.org/licenses/by-nc-sa/4.0/ 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 |
_version_ |
1842341424841883648 |
score |
12.623145 |