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547-4 Prediction of Ethanol Yields in Dry-Grind Corn by Near Infrared Spectroscopy.

Poster Number 300

See more from this Division: A10 Bioenergy and Agroindustrial Systems (Provisional)
See more from this Session: Assessment and Development of Plant Resources for Bioenergy Feedstock/Reception (Posters)

Monday, 6 October 2008
George R. Brown Convention Center, Exhibit Hall E

Xinmei Hao1, Kurt Thelen1, Juan Gao2, Bill Widdicombe1 and Stephanie Smith1, (1)Dept. of Crop and Soil Sciences, Michigan State University, East Lansing, MI
(2)Dept. of Crop and Soil Sciences, Michigan State Univ., East Lansing, MI
Abstract:
The applicability of NIR spectroscopy in building an ethanol yield prediction model were investigated using three statistical methods: Principal Components Regression (PCR), Partial Least Square Regression (PLS), and Discriminant analysis.

See more from this Division: A10 Bioenergy and Agroindustrial Systems (Provisional)
See more from this Session: Assessment and Development of Plant Resources for Bioenergy Feedstock/Reception (Posters)

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