Author： Prats-Moya M. Grané-Teruel N. Berenguer-Navarro V. Martín-Carratalá M.
Publisher： Springer Publishing Company
ISSN： 0003-021X
Source： Journal of the American Oil Chemists' Society, Vol.76, Iss.2, 1999-02, pp. : 267-272
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Abstract
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.
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