Predication of Wisconsin tester breakage susceptibility of corn from bulk density and NIRS measurements of composition
1994
Siska, J. | Hurburgh, C.R. Jr
An equation was developed to predict corn breakage susceptibility based on the protein content, oil content, starch content, kernel density, and test weight. Reference values of breakage susceptibility were measured by Wisconsin Breakage Tester. Two statistical techniques were used to design the prediction equation, multiple linear regression (MLR) and principal factor method (PFM). The calibration sample set included 94 market corn samples. This set was used to predict corn breakage susceptibility from protein content, starch content, test weight, and kernel density with MLR. Two sample sets were used for PFU calculations. One sample set of 252 corn samples was used to calculate standardized scoring coefficients of a common factor, which represented protein, oil, starch, and density. The other set, the same calibration sample set from MLR analysis, was used to regress breakage susceptibility against the common factor and test weight. The calibrations were validated on 36 samples not included in any of the sample sets described For the MLR analysis, the R2 (validation) was 65%, and the standard error of prediction (SEP) was 1.0 percentage point. The PFM equation gave R2 of 64% and the SEP was 1.0% point.
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