Triticale Moisture and Protein Content Prediction by Near-Infrared Spectroscopy (NIRS) |
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| Authors: | B. Igne L. R. Gibson G. R. Rippke A. Schwarte C. R. Hurburgh Jr. |
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| Affiliation: | 1. Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011.;2. Department of Agronomy, Iowa State University, Ames, IA 50011.;3. Research associate, Pioneer Hi-Bred Int'l, Inc., Johnston, IA 50131. |
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| Abstract: | ![]()
The use of near-infrared spectroscopy (NIRS) for the prediction of whole-grain triticale moisture and protein content was evaluated. Because triticale is genetically close to wheat, commercially available wheat prediction models for Foss Infratec analyzers were applied in a year-by-year basis to triticale samples harvested in Iowa between 2002 and 2006. Wheat models were not applicable to moisture prediction (SEPavg = 0.37% pt; expected SEP on wheat samples 0.15% pt), but usable for screening for protein (SEPavg = 0.38% pt; expected SEP on wheat samples 0.25% pt). Dedicated triticale calibrations were developed from 2002 to 2005 data. Prediction results for 2006 samples only were compared. Triticale calibrations performed better than wheat calibrations for 2006 samples (moisture SEPtriticale = 0.29% pt, SEPwheat = 0.50% pt; protein SEPtriticale = 0.30% pt, SEPwheat = 0.68% pt). |
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