A common near infrared—based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis
- DOI
- 10.1007/s00226-010-0383-x
- Published
- 2010-10-05
- Container
- Wood Science and Technology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00226-010-0383-x,
title = {A common near infrared—based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis},
author = {Ana Alves and Antonio Santos and Philippe Rozenberg and Luc E. Pâques and Jean-Paul Charpentier and Manfred Schwanninger and José Rodrigues},
year = {2010},
journal = {Wood Science and Technology},
doi = {10.1007/s00226-010-0383-x},
url = {https://doi.org/10.1007/s00226-010-0383-x}
}RIS
TY - JOUR TI - A common near infrared—based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis AU - Ana Alves AU - Antonio Santos AU - Philippe Rozenberg AU - Luc E. Pâques AU - Jean-Paul Charpentier AU - Manfred Schwanninger AU - José Rodrigues PY - 2010 JO - Wood Science and Technology DO - 10.1007/s00226-010-0383-x UR - https://doi.org/10.1007/s00226-010-0383-x ER -
APA
Alves, A., Santos, A., Rozenberg, P., Pâques, L. E., Charpentier, J., Schwanninger, M., & Rodrigues, J. (2010). A common near infrared—based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis. Wood Science and Technology. https://doi.org/10.1007/s00226-010-0383-x
Source records
- crossref · retrieved 2026-09-26T03:02:40.994Z