Comparison of extractive chemical signatures among branch, knot and bark wood fractions from forestry and agroforestry walnut trees ( Juglans regia × J. nigra ) by NIR spectroscopy and LC-MS analyses

iForest: Biogeosciences and Forestry

article

Stéphane Dumarçay¹  Philippe Gérardin¹  Kevin Candelier²  Lucie Heim²  Roxane Dodeler²  Loïc Brancheriau²  Remy Marchal⁴  Nabila Boutahar²  Sylvain Lotte² 

[1] Université de Lorraine, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Laboratoire d’Etudes et de Recherche sur le Matériau Bois;CIRAD, Research Unit BioWooEB;BioWooEB;Arts et Metiers Institute of Technology, LABOMAP, HESAM University F-71250

关键词: Agroforestry;    Bark;    Branches;    Extractives;    Knot;    Walnut;   

DOI  :  10.3832/ifor3973-014

学科分类：社会科学、人文和艺术（综合）

来源: Societa Italiana di Selvicoltura ed Ecologia Forestale (S I S E F)

【 摘 要 】

Walnut agroforestry systems require regular tree pruning, generating a large volume of biomass residues which are mainly valorized as wood-energy, Ramial Chipped Wood (RCW) or animal litter. However, walnut is recognized as a rich source of different chemical compounds, which could be recovered as valuable chemicals. This study aims to improve the knowledge on the composition of the water and ethanol extractive contents of wood, knot and bark fractions from walnut branches, harvested in agroforestry (AF) and traditional forestry control (FC) systems. LC-MS analyses were carried out to identify the chemical composition of extracts. Additionally, all samples were analyzed by near-infrared (NIR) spectroscopy with the aim of developing a fast tool to distinguish walnut branches, knots and bark wood fractions from trees grown under agroforestry and plantation management. Extractive contents and chemical composition of AF and FC wood samples were slightly different among branch, knot and bark. Despite these small chemical differences, PLS-DA models based on NIRS measurements can distinguishing among wood samples from walnut trees grown under different silvicultural regimes. In addition, in the both forestry systems, branch and knot extractive contents were significantly lower than those of bark specimens. Principal Component Analyses (PCA) based on NIR-spectrometry of raw samples revealed that the chemical composition of branch and knot woods are similar to each other and are very different compared to those of bark samples. This study provides new knowledge on branch woods from agroforestry systems, which are still very under-studied at present.

【 授权许可】

Unknown