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Lipid composition of peanut (Arachis hypogaea L.) seeds using multivariate analysis
Titel:
Lipid composition of peanut (Arachis hypogaea L.) seeds using multivariate analysis
Auteur:
Auristela del Carmen MALAVÉ ACUÑA Jesús Rafael MÉNDEZ NATERA
Verschenen in:
Revista científica UDO agrícola
Paginering:
Jaargang 7 (2007) nr. 1 pagina's 41-48
Jaar:
2007
Inhoud:
The objective of this work was to compare by multivariate techniques three cultivars of peanut (Rojo, Rosado andAmericano Chico). Seed lipids were extracted with a chloroform-methanol mixture (2:1 v/v). For the chromatographyanalyses of fine layer with ionization detector in flame (TLC/FID), chromads SIII were used. The gas-liquidchromatography was used to determine the fatty acids composition. Percentage of total lipids, lipid composition, viz,triacylglycerol, diacylglycerol, phospholipids and fatty acids composition, viz, palmitic, araquídic, oleic, linoleic, linolenicand eicosenoic acids were determined. For the principal component analysis, the first component explained 64.3% of thevariation and the second one explained 35.7% (total 100.00 %), the peanut cultivars did not associate among them, id est,three individual groups were formed. In general, all traits had high values of loadings, excepting eicosenoic acid (C20_1)and behemic acid (C22_0). Cluster analysis indicated different results than principal component analysis. Both, UPGMAand Ward methods produced two groups, the first one formed by Americano Chico and the second group formed forcultivars Rojo and Rosado. In conclusion, cluster analysis should be used to study the relationships among total lipids, lipidcomposition and fatty acids in order to identifying similar groups for these characters for different peanut cultivars.
Uitgever:
Universidad de Oriente Press (provided by DOAJ)
Bronbestand:
Elektronische Wetenschappelijke Tijdschriften
Details van artikel 114 van 185 gevonden artikelen