Fourier-transform infrared (FT-IR) spectroscopy analysis discriminates asymptomatic and symptomatic Norway spruce trees. (December 2019)
- Record Type:
- Journal Article
- Title:
- Fourier-transform infrared (FT-IR) spectroscopy analysis discriminates asymptomatic and symptomatic Norway spruce trees. (December 2019)
- Main Title:
- Fourier-transform infrared (FT-IR) spectroscopy analysis discriminates asymptomatic and symptomatic Norway spruce trees
- Authors:
- Mukrimin, Mukrimin
Conrad, Anna O.
Kovalchuk, Andriy
Julkunen-Tiitto, Riitta
Bonello, Pierluigi
Asiegbu, Fred O. - Abstract:
- Highlights: Samples from naturally infected Norway spruce trees were analyzed by FT-IR. FT-IR spectroscopy can discriminate between healthy and rotten Norway spruce trees. Concentrations of condensed tannins can be predicted based on FT-IR results. Abstract: Conifer trees, including Norway spruce, are threatened by fungi of the Heterobasidion annosum species complex, which severely affect timber quality and cause economic losses to forest owners. The timely detection of infected trees is complicated, as the pathogen resides within the heartwood and sapwood of infected trees. The presence of the disease and the extent of the wood decay often becomes evident only after tree felling. Fourier-transform infrared (FT-IR) spectroscopy is a potential method for non-destructive sample analysis that may be useful for identifying infected trees in this pathosystem. We performed FT-IR analysis of 18 phloem, 18 xylem, and 18 needle samples from asymptomatic and symptomatic Norway spruce trees. FT-IR spectra from 1066 – 912 cm −1 could be used to distinguish phloem, xylem, and needle tissue extracts. FT-IR spectra collected from xylem and needle extracts could also be used to discriminate between asymptomatic and symptomatic trees using spectral bands from 1657 – 994 cm −1 and 1104 – 994 cm −1, respectively. A partial least squares regression model predicted the concentration of condensed tannins, a defense-related compound, in phloem of asymptomatic and symptomatic trees. This work isHighlights: Samples from naturally infected Norway spruce trees were analyzed by FT-IR. FT-IR spectroscopy can discriminate between healthy and rotten Norway spruce trees. Concentrations of condensed tannins can be predicted based on FT-IR results. Abstract: Conifer trees, including Norway spruce, are threatened by fungi of the Heterobasidion annosum species complex, which severely affect timber quality and cause economic losses to forest owners. The timely detection of infected trees is complicated, as the pathogen resides within the heartwood and sapwood of infected trees. The presence of the disease and the extent of the wood decay often becomes evident only after tree felling. Fourier-transform infrared (FT-IR) spectroscopy is a potential method for non-destructive sample analysis that may be useful for identifying infected trees in this pathosystem. We performed FT-IR analysis of 18 phloem, 18 xylem, and 18 needle samples from asymptomatic and symptomatic Norway spruce trees. FT-IR spectra from 1066 – 912 cm −1 could be used to distinguish phloem, xylem, and needle tissue extracts. FT-IR spectra collected from xylem and needle extracts could also be used to discriminate between asymptomatic and symptomatic trees using spectral bands from 1657 – 994 cm −1 and 1104 – 994 cm −1, respectively. A partial least squares regression model predicted the concentration of condensed tannins, a defense-related compound, in phloem of asymptomatic and symptomatic trees. This work is the first to show that FT-IR spectroscopy can be used for the identification of Norway spruce trees naturally infected with Heterobasidion spp. … (more)
- Is Part Of:
- Plant science. Volume 289(2019)
- Journal:
- Plant science
- Issue:
- Volume 289(2019)
- Issue Display:
- Volume 289, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 289
- Issue:
- 2019
- Issue Sort Value:
- 2019-0289-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-12
- Subjects:
- Norway spruce -- Heterobasidion -- FT-IR spectroscopy -- Chemometric analysis -- SIMCA -- PLSR -- Mid-IR spectra
Botany -- Periodicals
Botanique -- Périodiques
580 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01689452 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.plantsci.2019.110247 ↗
- Languages:
- English
- ISSNs:
- 0168-9452
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6523.390000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17031.xml