Prediction of Wisconsin Tester Breakage Susceptibility of Corn from Bulk Density and NIRS Measurements of Composition

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1994
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Siska, Juraj
Hurburgh, Charles
Hurburgh, Charles
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Altmetrics
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Agricultural and Biosystems Engineering
Abstract

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).

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This article is from Transactions of the ASAE 37 (1994): 1577–1582. Posted with permission.

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