Global nirs models to predict main chemical compounds of Eucalyptus woods

Chaix Gilles, Tomazello Filho Mario, Nourissier-Mountou Sophie, Diombokho Abdoulaye. 2012. Global nirs models to predict main chemical compounds of Eucalyptus woods. In : 2012 IUFRO Conference. Division 5 Forest products, 8-13 July 2012, Lisbon, Portugal : final program, proceedings and abstracts book. IUFRO, ISA, CEF. Vienne : IUFRO, Résumé, 214. 2012 IUFRO Conference Division 5 Forest Products, Lisbonne, Portugal, 8 Juillet 2012/13 Juillet 2012.

Résumé : The Nirs technology is particularly well-suited to tree improvement programmes where huge numbers of samples must be analysed, but it can be used in any forestry application where the rapid measurement of wood property data is required or to screen unknown samples. Forest breeders include chemicals wood properties as selection criteria for new varieties, especially lignin, cellulose, hemicellulose. Efforts to develop multi-site, multiple-species, multiple age calibrations are rare. Because of the genotype x environment/ age interactions, we try to develop a very useful multispecies Nirs calibrations to predict chemical properties for varied eucalyptus in term of species, age, and site plantation. Global near infrared models to predict wood properties of Eucalyptus were developed using more than one hundred samples well representatives from 3,000 wood samples. These calibration set was selected on spectral data based on Mahalanobis distance. Samples were provided from different country and location (Congo, Senegal, Brazil), including different species and hybrids of Eucalyptus (E. urophylla, E. grandis, E. camaldulensis, E. urophylla x E. grandis, E. urophylla x E. pellita) from different age (from 5 to 30 years old). The global models tested by cross-validation, based on our own reference data, shown encouraged fits for extractives, lignin, cellulose, hemicelluloses. The models for lignin and extractives showed higher fits than cellulose and hemicellulose even if for these late, the model remained sufficient for prediction. The high variability of chemical properties due to the sampling, associated to the good repeatability of reference measurements, provided high values of model parameters. These results suggest that global calibration could be useful in tree breeding program and for different experiment trials from the fields, to rank genotypes for extractives, lignin, cellose, and hemicelluloses. Local models are more accurate usually and in order to get local models, we are improving our sampling in term of number and origin of wood. The main interest of this type of calibration is the possibility to screen samples for different species, different origins and the other interest is to select new samples to be included in calibration and validation sets.

Classification Agris : F60 - Physiologie et biochimie végétale
U30 - Méthodes de recherche
K50 - Technologie des produits forestiers

Auteurs et affiliations

• Chaix Gilles, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0003-2015-0551
• Tomazello Filho Mario, USP (BRA)
• Nourissier-Mountou Sophie, CIRAD-BIOS-UMR AGAP (FRA)
• Diombokho Abdoulaye

Source : Cirad - Agritrop (https://agritrop.cirad.fr/566238/)

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