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

Anna O. Conrad, Pierluigi Bonello
<span title="2016-01-07">2016</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bbmitkj3efgeppizzjrx6w5emu" style="color: black;">Frontiers in Plant Science</a> </i> &nbsp;
Click here to let us know how access to this document benefits you. 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
more &raquo; ... istinguish 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fpls.2015.01152">doi:10.3389/fpls.2015.01152</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26779211">pmid:26779211</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4703757/">pmcid:PMC4703757</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gwlsym2spvaczf5rywnn2v6kr4">fatcat:gwlsym2spvaczf5rywnn2v6kr4</a> </span>
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