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Volatile metabolic profiling to detect and discriminate diseases of mango fruit

Volatile metabolites from headspace gas of mango cultivars Tommy Atkins and Keitt, wounded and inoculated with two pathogens, Colletotrichum gloeosporioides and Lasiodiplodia theobromae or non-inoculated controls were profiled using a GC/MS to develop a technology to discriminate diseases. Several disease discriminatory compounds were identified and classified into three groups: (i) compounds unique to only one treatment; (ii) compounds common to two or more treatments but not to all; and (iii) compounds common to all treatments but with varying in their abundance. 1-pentanol and boronic acid ethyl were detected in only Lasiodiplodia-inoculated mangoes while thujol was observed only in Colletotrichum-inoculated mangoes. Models based on significant mass ions classified up to 100% of the diseases/inoculations. The disease discriminatory compounds and discriminant analysis models developed here could be used in the early detection of postharvest diseases of mango fruit, after validation under commercial conditions.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.97971
Date January 2005
CreatorsMoalemiyan, Mitra.
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Science (Department of Plant Science.)
Rights© Mitra Moalemiyan, 2005
Relationalephsysno: 002479017, proquestno: AAIMR24745, Theses scanned by UMI/ProQuest.

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