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A chemometric study of genotypic variation in triacylglycerol composition among selected almond cultivars
Author(s) -
PratsMoya M. S.,
GranéTeruel N.,
BerenguerNavarro V.,
MartínCarratalá M. L.
Publication year - 1999
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/s11746-999-0229-6
Subject(s) - cultivar , principal component analysis , composition (language) , linear discriminant analysis , multivariate statistics , hybrid , food science , biology , horticulture , chemistry , mathematics , statistics , philosophy , linguistics
Triacylglycerol composition of 10 almond cultivars grown in seven different environments was determined by high‐performance liquid chromatography, and multivariate statistical techniques (principal component and cluster analysis) were used to detect and establish associations among almond cultivars. In particular, linear discriminant analysis showed that cultivars Desmayo Largueta, Masbovera, Texas, Non Pareil, Tuono, and Guara are different from each other and can be classified in different groups. This statistical approach also predicted the origin of eight hybrids produced from these cultivars. As a result, it is concluded that triacylglycerol composition in almonds can distinguish genetic from environmental effects on almond triacylglycerol composition.