Determination of oil content in whole corn (Zea mays L.) seeds by means of near infrared reflectance spectroscopy
journal contribution
posted on 2018-07-03, 00:00 authored by AS Fassio, EA Restaino, Daniel Cozzolino© 2014 Elsevier B.V.The objective of this study was to evaluate the ability of near infrared reflectance (NIR) spectroscopy to determine oil content in whole corn (Zea mays L.) samples sourced from a breeding program. Kernel samples were analysed in reflectance in the VIS and NIR regions (400-2500nm) at 2nm intervals using a scanning monochromator. Samples were scanned in a circular cell cup and reflectance data were stored as logarithm of the reciprocal reflectance (log1/R). Samples were not rotated when spectra collection was made. The coefficients of determination (R2) and the standard error of cross validation (SECV) obtained for the prediction of oil content in the calibration set were 0.90% and 0.17%, respectively. The residual predictive deviation (RPD=SD/SECV) value obtained was 2.3, indicating that these calibrations can be used for qualitative determination of oil content (e.g. low, medium and high) or preliminary screening in whole corn.
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Volume
110Start Page
171End Page
175Number of Pages
5ISSN
0168-1699Publisher
Elsevier BVPublisher DOI
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Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Instituto Nacional de Investigación Agropecuaria; University of AdelaideEra Eligible
- Yes
Journal
Computers and Electronics in AgricultureUsage metrics
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