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Single kernel sorting of high and normal oleic acid peanuts using near infrared spectroscopy

Authors :
O’Connor, Daniel J
Meder, Roger
Furtado, Angelo
Henry, Robert J
Wright, Graeme C
Rachaputi, Rao CN
Source :
Journal of Near Infrared Spectroscopy; December 2021, Vol. 29 Issue: 6 p366-370, 5p
Publication Year :
2021

Abstract

Peanuts are known to contain nutrients that deliver cardiovascular and health benefits. One such compound is oleic acid, an omega-9 monounsaturated fatty acid, which occurs naturally in peanuts in the concentration range 40–55% m/m, while some varieties are known to contain oleic acid above 75% m/m. These high oleic peanuts have been shown to have cardiovascular health benefit by lowering lipid levels. Breeders are therefore interested in selecting for peanuts with high oleic acid content in a rapid, non-destructive manner. Near infrared spectra acquired on single peanut kernels was used to classify the kernels as either high oleic content or normal, low oleic content, by means of partial least squares discriminant analysis with an overall error rate in classification of 3.3%.

Details

Language :
English
ISSN :
09670335 and 17516552
Volume :
29
Issue :
6
Database :
Supplemental Index
Journal :
Journal of Near Infrared Spectroscopy
Publication Type :
Periodical
Accession number :
ejs58301773
Full Text :
https://doi.org/10.1177/09670335211053502