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Applications of GC/MS in Allelopathy Research: a Case Study
Author(s) -
An Min,
Pratley James E.,
Haig Terrence
Publication year - 1996
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/(sici)1097-0231(19960115)10:1<104::aid-rcm403>3.0.co;2-j
Subject(s) - allelopathy , bioassay , chemistry , agriculture , weed , biochemical engineering , ecology , botany , biology , germination , engineering
Alleopathy arises from the release of chemicals by one plant species which affect other species in its vicinity, usually to their detriment. Such natural compounds are called allelochemicals. As awareness grows of environmental pollution involving the use of synthetic chemicals, and demand increases for sustainability in agriculture and quality food production for humans, attention is being focused on reducing reliance on synthetic chemicals and finding ways to replace them. Allelopathy holds great prospect for meeting such demands. Contemporary research in allelopathy focuses on isolating, identifying and quantifying specific active allelochemicals. Once these substances are identified and characterised, they can be used either as natural herbicides or as models for developing new and environmentally‐friendly herbicides. Rapid development in analytical technology has made advanced instrumentation (i.e. GC/MS) accessible for general disciplines such as agriculture and allelopathy. This has significantly facilitated tasks of allelochemical identication, rapidly increased understanding of allelopathy, and accelerated its application in agricultural practice. In a case of allelopathic research on silvergrass ( Vulpia spp.), a significant weed in southern Australia, GC/MS has been employed to characterise the natural toxins. Twenty‐one allelochemicals were identified and quantified. Subsequently, their biological activies were tested and identified through a bioassay procedure, which revealed strong correlations between individual phytotoxins and levels of measured phytotoxicity.