DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT

Ano: 2019 | Volume: 25 | Número: 3

Autores: Taiana Guimarães Arriel, Fernanda Maria Guedes Ramalho, Rebeca Alves Barreto Lima, Kelly Iapuque Rodrigues de Sousa, Paulo Ricardo Gherardi Hein, Paulo Fernando Trugilho

Palavras-chave: Wood quality, Regression PLS, NIRS, Solid wood, Wood powder

Resumo Inglês:

The objective of this study was to establish multivariate models for the prediction of wood basic density with reference to the values of average density of trees and near infrared (NIR) spectra measured in the breast height. The wood basic density of 39 Eucalyptus clones was determined in the laboratory by means of the mean longitudinal positions of 0%, 2%, 10%, 30%, 50% and 75% of the commercial height of the tree by the gravimetric method. NIR spectra were recorded using a spectrometer using optical fiber probe and integrating sphere directly on the transverse plane of the solid wood in disks collected from diameter at breast height and later in the sawdust. The performance of the NIR based models was evaluated according to the spectral acquisition method and sample preparation. The results showed that the best model for basic density estimation using indirect measurements was developed from the average spectra per clone measured in solid wood disks (R2 cv of 0.77 and RMSEcv of 15 kg.m- ³).