Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood
Breeding programs in Africa are generally based on growth criteria and rarely on wood chemical properties. Indeed, chemical analysis are often expensive, time-consuming and require several replicates. Then, using NIRS to predict these properties is a relevant solution. The research question focuses on the possibility of using multispecies models to predict properties of different species. This study considers 7 chemical properties (extractives, Klason lignin, acidosoluble lignin ASL, SG ratio, holocellulose, alphacellulose, hemicelluloses) based on 367 samples from 4 countries, belonging to 5 eucalypt species with hybrids (E. robusta, camaldulensis, urophylla, uropellita, urograndis). Established models were validated by cross- and test-set validation. Results shows that all R2CV are greater than 0.73, and all %RMSECV are less than 8.3% except for extractives and ASL. Prediction errors (%RMSEP) are always less than 9.5% except for these 2 properties, with respectively 23.6% and 18.1%. Prediction errors are always less than the double of the error of laboratory (%SEL). This study shows that multispecies NIRS models can be used to predict chemical properties, there is no significant difference between measurement error obtained with standardized method and %RMSEP. This method is particularly well-suited for a rapid wood phenotyping of multiple samples belonging to different species.
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dig-cirad-fr-5894632022-02-10T07:24:56Z http://agritrop.cirad.fr/589463/ http://agritrop.cirad.fr/589463/ Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood. Razafimahatratra Andriambelo Radonirina, Ramananantoandro Tahiana, Nourissier Sophie, Mevanarivo Zo Elia, Tomazello Filho Mario, Makouanzi Garel, Clément-Vidal Anne, Rodrigues José, Chaix Gilles. 2018. In : Eucalyptus 2018: Managing Eucalyptus plantation under global changes. Abstracts book. CIRAD, IUFRO, MUSE. Montpellier : CIRAD, Résumé, p. 32. ISBN 978-2-87614-743-0 Eucalyptus 2018, Montpellier, France, 17 Septembre 2018/21 Septembre 2018. Researchers Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood Razafimahatratra, Andriambelo Radonirina Ramananantoandro, Tahiana Nourissier, Sophie Mevanarivo, Zo Elia Tomazello Filho, Mario Makouanzi, Garel Clément-Vidal, Anne Rodrigues, José Chaix, Gilles eng 2018 CIRAD Eucalyptus 2018: Managing Eucalyptus plantation under global changes. Abstracts book Breeding programs in Africa are generally based on growth criteria and rarely on wood chemical properties. Indeed, chemical analysis are often expensive, time-consuming and require several replicates. Then, using NIRS to predict these properties is a relevant solution. The research question focuses on the possibility of using multispecies models to predict properties of different species. This study considers 7 chemical properties (extractives, Klason lignin, acidosoluble lignin ASL, SG ratio, holocellulose, alphacellulose, hemicelluloses) based on 367 samples from 4 countries, belonging to 5 eucalypt species with hybrids (E. robusta, camaldulensis, urophylla, uropellita, urograndis). Established models were validated by cross- and test-set validation. Results shows that all R2CV are greater than 0.73, and all %RMSECV are less than 8.3% except for extractives and ASL. Prediction errors (%RMSEP) are always less than 9.5% except for these 2 properties, with respectively 23.6% and 18.1%. Prediction errors are always less than the double of the error of laboratory (%SEL). This study shows that multispecies NIRS models can be used to predict chemical properties, there is no significant difference between measurement error obtained with standardized method and %RMSEP. This method is particularly well-suited for a rapid wood phenotyping of multiple samples belonging to different species. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/589463/1/ID589463.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html http://agritrop.cirad.fr/589039/ |
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Breeding programs in Africa are generally based on growth criteria and rarely on wood chemical properties. Indeed, chemical analysis are often expensive, time-consuming and require several replicates. Then, using NIRS to predict these properties is a relevant solution. The research question focuses on the possibility of using multispecies models to predict properties of different species. This study considers 7 chemical properties (extractives, Klason lignin, acidosoluble lignin ASL, SG ratio, holocellulose, alphacellulose, hemicelluloses) based on 367 samples from 4 countries, belonging to 5 eucalypt species with hybrids (E. robusta, camaldulensis, urophylla, uropellita, urograndis). Established models were validated by cross- and test-set validation. Results shows that all R2CV are greater than 0.73, and all %RMSECV are less than 8.3% except for extractives and ASL. Prediction errors (%RMSEP) are always less than 9.5% except for these 2 properties, with respectively 23.6% and 18.1%. Prediction errors are always less than the double of the error of laboratory (%SEL). This study shows that multispecies NIRS models can be used to predict chemical properties, there is no significant difference between measurement error obtained with standardized method and %RMSEP. This method is particularly well-suited for a rapid wood phenotyping of multiple samples belonging to different species. |
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conference_item |
author |
Razafimahatratra, Andriambelo Radonirina Ramananantoandro, Tahiana Nourissier, Sophie Mevanarivo, Zo Elia Tomazello Filho, Mario Makouanzi, Garel Clément-Vidal, Anne Rodrigues, José Chaix, Gilles |
spellingShingle |
Razafimahatratra, Andriambelo Radonirina Ramananantoandro, Tahiana Nourissier, Sophie Mevanarivo, Zo Elia Tomazello Filho, Mario Makouanzi, Garel Clément-Vidal, Anne Rodrigues, José Chaix, Gilles Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood |
author_facet |
Razafimahatratra, Andriambelo Radonirina Ramananantoandro, Tahiana Nourissier, Sophie Mevanarivo, Zo Elia Tomazello Filho, Mario Makouanzi, Garel Clément-Vidal, Anne Rodrigues, José Chaix, Gilles |
author_sort |
Razafimahatratra, Andriambelo Radonirina |
title |
Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood |
title_short |
Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood |
title_full |
Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood |
title_fullStr |
Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood |
title_full_unstemmed |
Using multispecies NIRS calibration for predicting chemical properties of eucalypts wood |
title_sort |
using multispecies nirs calibration for predicting chemical properties of eucalypts wood |
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CIRAD |
url |
http://agritrop.cirad.fr/589463/ http://agritrop.cirad.fr/589463/1/ID589463.pdf |
work_keys_str_mv |
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