Prediction of triticale grain quality properties, based on both chemical and indirectly measured reference methods, using near-infrared spectroscopy

Manley, Marena, McGoverin, Cushla M., Snyders, Franci, Muller, Nina, Botes, Willem C. and Fox, Glen P. (2013) Prediction of triticale grain quality properties, based on both chemical and indirectly measured reference methods, using near-infrared spectroscopy. Cereal Chemistry, 90 6: 540-545. doi:10.1094/CCHEM-02-13-0021-R


Author Manley, Marena
McGoverin, Cushla M.
Snyders, Franci
Muller, Nina
Botes, Willem C.
Fox, Glen P.
Title Prediction of triticale grain quality properties, based on both chemical and indirectly measured reference methods, using near-infrared spectroscopy
Journal name Cereal Chemistry   Check publisher's open access policy
ISSN 0009-0352
1943-3638
Publication date 2013-11-01
Year available 2013
Sub-type Article (original research)
DOI 10.1094/CCHEM-02-13-0021-R
Open Access Status
Volume 90
Issue 6
Start page 540
End page 545
Total pages 6
Place of publication St. Paul, MN, United States
Publisher A A C C International
Language eng
Formatted abstract
The increasing demand for triticale as food, feed, and fuel has resulted in the availability of cultivars with different grain quality characteristics. Analyses of triticale composition can ensure that the most appropriate cultivars are obtained and used for the most suitable applications. Near-infrared (NIR) spectroscopy is often used for rapid measurements during quality control and has consequently been investigated as a method for the measurement of protein, moisture, and ash contents, as well as kernel hardness (particle size index [PSI]) and sodium dodecyl sulfate (SDS) sedimentation from both whole grain and ground triticale samples. NIR spectroscopy prediction models calculated using ground samples were generally superior to whole grain models. Protein content was the most effectively modeled quality property; the best ground grain calibration had a ratio of the standard error of test set validation to the standard deviation of the reference data of the test set (RPDtest) of 4.81, standard error of prediction (SEP) of 0.52% (w/w), and r2 of 0.95. Whole grain protein calibrations were less accurate, with optimum RPDtest of 3.54, SEP of 0.67% (w/w), and r2 of 0.92. NIR spectroscopy calibrations based on direct chemical reference measurements (protein and moisture contents) were better than those based on indirect measurements (PSI, ash content, and SDS sedimentation). Calibrations based on indirect measurements would, however, still be useful to identify extreme samples.
Keyword Triticale
NIR analysis
Quality
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID FA2006031500013
71390
Institutional Status UQ

 
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Created: Fri, 22 Nov 2013, 21:07:12 EST by Dr Glen Fox on behalf of Qld Alliance for Agriculture and Food Innovation