Abstract
Mango gall fly (Procontarinia matteiana) is an orchard pest that parasitises flush leaves of mango and serious outbreaks may result in reduced
fruit yield. The trigger for infestation is unknown, but terpenes emitted by the leaves appear to play a role in attraction. Metabolic profiles of three
mango cultivars of varying susceptibility to mango gall fly attack were obtained by headspace profiling using GC-FID and GC-MS analysis.
Chemometric models constructed from the data revealed that three terpenes, α- and β-pinene and camphene could be useful as biomarkers for
susceptibility. Headspace profiles of twenty other cultivars, naturally exposed to gall fly, were obtained in the same way. Susceptibility or
resistance of these cultivars was predicted using the developed orthogonal partial least squares model. Predictive outcomes were thereafter verified
by visual examination of the leaves to detect gall formation, an indication of gall fly infestation. The model was found to predict the susceptibility
or resistance of 90% of the cultivars accurately. This finding indicates the contributory role of the three terpene biomarkers in mango gall fly
interaction and may direct future studies to determine their inter-relationship.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:tut/oai:encore.tut.ac.za:d1001217 |
| Date | 27 October 2010 |
| Creators | Augustyn, WA, Botha, BM, Combrinck , S, Du Plooy, SW |
| Publisher | Elsevier |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Text |
| Format | |
| Rights | © 2010 SAAB |
| Relation | South African Journal of Botany |
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