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Front Plant Sci. 2016 Jan 07;6:1152. doi: 10.3389/fpls.2015.01152. eCollection 2015.

Application of Infrared and Raman Spectroscopy for the Identification of Disease Resistant Trees.

Frontiers in plant science

Anna O Conrad, Pierluigi Bonello

Affiliations

  1. Forest Health Research and Education Center, Department of Forestry, University of Kentucky Lexington, KY, USA.
  2. Department of Plant Pathology, The Ohio State University Columbus, OH, USA.

PMID: 26779211 PMCID: PMC4703757 DOI: 10.3389/fpls.2015.01152

Abstract

New approaches for identifying disease resistant trees are needed as the incidence of diseases caused by non-native and invasive pathogens increases. These approaches must be rapid, reliable, cost-effective, and should have the potential to be adapted for high-throughput screening or phenotyping. Within the context of trees and tree diseases, we summarize vibrational spectroscopic and chemometric methods that have been used to distinguish between groups of trees which vary in disease susceptibility or other important characteristics based on chemical fingerprint data. We also provide specific examples from the literature of where these approaches have been used successfully. Finally, we discuss future application of these approaches for wide-scale screening and phenotyping efforts aimed at identifying disease resistant trees and managing forest diseases.

Keywords: chemometrics; disease; infrared and Raman spectroscopy; resistance; trees

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