Application of Infrared and Raman Spectroscopy for the Identification of Disease Resistant Trees
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. Wi...
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| Published in | Frontiers in plant science Vol. 6; p. 1152 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
07.01.2016
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| Subjects | |
| Online Access | Get full text |
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| Summary: | 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. |
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Edited by: Roger Deal, Emory University, USA Reviewed by: Steve Woodward, University of Aberdeen, UK; Alejandro Solla, Universidad de Extremadura, Spain |
| ISSN: | 1664-462X 1664-462X |
| DOI: | 10.3389/fpls.2015.01152 |