scholarly journals Fatty Acid Composition and Antioxidant Activity of Groundnut (Arachis hypogaea L.) Products

2013 ◽  
Vol 19 (6) ◽  
pp. 957-962 ◽  
Author(s):  
Shivraj Hariram NILE ◽  
Se Won PARK



2011 ◽  
Vol 38 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Noelle A. Barkley ◽  
Kelly D. Chenault Chamberlin ◽  
Ming Li Wang ◽  
Roy N. Pittman

Abstract Oleic acid (C18∶1), a monounsaturated omega-9 fatty acid, is an important seed quality trait in peanut (Arachis hypogaea L.) because it provides enhanced fatty acid composition, a beneficial effect on human health, improved flavor, and increased shelf life for stored food products by delaying rancidity. Consequently, an emphasis has been placed on breeding peanuts with high levels of oleic acid and low levels of linoleic acid (C18∶2), a polyunsaturated, omega-6 fatty acid. Therefore, crosses were prepared between high oleic and normal peanut lines to develop segregating F2 populations. Total fatty acid composition and the ahFAD2B genotype were determined in the parents and progeny. The oleic to linoleic (O/L) ratio varied from 0.85 to 30.30 in the F2 progeny. Comparing the mean oleic acid values from the three genotypic classes (Ol2Ol2, Ol2ol2, and ol2ol2) in each population confirmed that the means were significantly different. Statistical analysis demonstrated that oleic acid was negatively correlated with linoleic (C18∶2) and palmitic acid (C16∶0), but was positively correlated with gadoleic (C20∶1) and lignoceric (C24∶0) fatty acids. This suggests that modifier genes may influence fatty acid composition. Principally, integration of genotyping and phenotyping data from segregating populations provided valuable insights on the genetic factors controlling total fatty acid composition.



2005 ◽  
Vol 13 (5) ◽  
pp. 287-291 ◽  
Author(s):  
Glen Fox ◽  
Alan Cruickshank

The fatty acid composition of ground nuts ( Arachis hypogaea L.), commonly known as peanuts, is an important consideration when a new variety is being released. The composition impacts on nutrition and, importantly, shelf-life of peanut products. To select for suitable breeding material, it was necessary to develop a rapid, non-destructive and cost efficient method. Near infrared spectroscopy was chosen as that methodology. Calibrations were developed for two major fatty acid components, oleic and linoleic acids and two minor components, palmitic and stearic acids, as well as total oil content. Partial least squares models indicated a high level of precision with a squared multiple correlation coefficient greater than 0.90 for each constituent. Standard errors of prediction for oleic, linoleic, palmitic, stearic acids and total oil content were 6.4%, 4.5%, 0.8%, 0.9% and 1.3%, respectively. The results demonstrated that suitable calibrations could be developed to predict the oil composition and content of peanuts for a breeding programme.





2018 ◽  
Vol 12 (2) ◽  
pp. 1408-1412 ◽  
Author(s):  
N. Belyagoubi-Benhammou ◽  
L. Belyagoubi ◽  
A. El Zerey-Belaskri ◽  
A. Zitouni ◽  
N. Ghembaza ◽  
...  




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