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Analytical pyrolysis‐pattern recognition for the characterisation of leafy spurge ( Euphorbia esula L.) biotypes
Author(s) -
EVANS J. O.,
TORELL J. M.,
VALCARCE R. V.,
SMITH G. G.
Publication year - 1991
Publication title -
annals of applied biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 80
eISSN - 1744-7348
pISSN - 0003-4746
DOI - 10.1111/j.1744-7348.1991.tb04842.x
Subject(s) - leafy , biology , botany , principal component analysis , artificial intelligence , computer science
Summary Curie‐point pyrolysis‐gas chromatography‐pattern recognition was used to elucidate chemical variations within leafy spurge ( Euphorbia spp.). Hierarchical cluster analysis (HCA) readily identified two major clusters corresponding to E. esula and E. cyparissias. The E. esula cluster further separated into three distinct subclusters. Results from principal components analysis (PCA) and fuzzy c‐varieties (FCVPC) pattern recognition were similar, verifying the presence of three biotypes among the E. esula samples studied. It is suggested that analytical pyrolysis in combination with pattern recognition may predict the behaviour of biocontrol agents introduced into fields to control leafy spurge.