2013 Annual Report
1a.Objectives (from AD-416):
The objectives of this cooperative research are to.
1)develop grain quality measurement methods to enable sorting for particular attributes of single seeds using near- and mid- infrared spectroscopy and.
2)develop improved grain storage monitoring methods through the innovative use of carbon dioxide (CO2), relative (RH) humidity and temperature (T) sensing systems.
1b.Approach (from AD-416):
For the first objective, grain quality measurement methods using near- and mid-infrared reflectance spectroscopy (NIRS, MIRS) and other non-destructive methods will be developed to segregate single kernels based attributes such as protein, oil and starch. The focus will be to develop accurate and rapid methods (5 -10 kernels/sec) to measure basic seed composition or more subtle characteristics such as oil composition. The second objective will investigate the condition and effects of storage mold development during grain storage. This work will provide a better understanding and interpretation of CO2-RH-T measurements inside commercial grain storage. These systems are currently being introduced as commercial systems but there is a lack of understanding in data interpretation. Iowa State will facilitate trial installations of this equipment at commercial grain facilities.
Data was collected and analysis performed to determine if glyphosate tolerant soybeans could be differentiated from conventional beans using single seed NIR spectroscopy. The significance of this is that product purity can be tested using NIRS to assure a GMO free product. The results indicated NIRS had reasonable discrimination between the two types but there may be subtle differences in water absorption of the bean types, glyphosate tolerant versus conventional, that was helping this discrimination as opposed other compositional differences. This work has been published, Agelet et al. 2013a.
A significant amount of effort is needed to develop and maintain a NIRS calibration. The ability to transfer a calibration from one instrument to another with confidence reduces this effort. A comparison between nearly identical single seed NIRS instruments was performed to determine the difficulties in transferring calibrations from one instrument to another. This was completed using oil and protein content measurements of soybeans. The results show calibration transfer is possible using simple offset and slope adjustments with a small degradation in prediction accuracy. This work has resulted in draft publication, Agelet et al. 2013b.
No work was completed in regards to CO2-T-RH storage monitoring.
Lidia Esteve Agelet, Paul R. Armstrong, Jasper G. Tallada, Charles R. Hurburgh Jr. 2013a Differences between conventional and glyphosate tolerant soybeans and moisture effect in their discrimination by near infrared spectroscopy. Food Chemistry 141:1895–1901. 2013.
2) Lidia Esteve Agelet. Paul R. Armstrong, Charles R. Hurburgh. 2013b. Calibration transfer between two high-throughput near infrared single kernel analyzers. Drafted publication.
Agelet, L.E., Armstrong, P.R., Clariana, I.R., Hurburgh, C.R. Measurement of single soybean seed attributes by near infrared technologies. A comparative study. Journal of Agricultural and Food Chemistry. 60(34):8314-8322. 2012.