WinnSpace Repository

Prediction of the Moisture Content of Eastern Canadian Corn using Measurements of Capacitance and Test Weight

Show simple item record

dc.contributor.author Babb, J. C.
dc.contributor.author Dempster, C. J.
dc.contributor.author Wallis, R. J.
dc.date.accessioned 2017-11-08T20:27:30Z
dc.date.available 2017-11-08T20:27:30Z
dc.date.issued 1989-01
dc.identifier.citation J.C. Babb, C.J. Dempster and R.J. Wallis, "Prediction of the Moisture Content of Eastern Canadian Corn using Measurements of Capacitance and Test Weight," Canadian Journal of Plant Science 69 (1989), 109-119. en_US
dc.identifier.issn 0008-4220
dc.identifier.uri http://hdl.handle.net/10680/1327
dc.description This is a preprint of the published paper, and is eligible for deposit under the terms of the journal license as accessed at http://www.sherpa.ac.uk/romeo/issn/0008-4220/ on 8 November 2017. en_US
dc.description.abstract A statistical regression model for rapid prediction of moisture content based on measurements of dielectric capacitance and test weight was developed for Eastern Canadian corn (Zea mays L.). For 336 samples of the 1986 crop, dielectric readings were determined with a Model 919 grain moisture meter, test weight values with an Ohaus half-litre measure and moisture content values by a single-stage air-oven procedure. The regression model, which incorporates linear terms for dielectric reading and test weight plus an interaction term which is a product of the two, is an excellent predictor of corn moisture as indicated by analysis of the residuals and by the high value of the coefficient of determination (R2 = 0.95) and low value of the standard error of estimate (SEE = 0.85). Although the relationship between moisture content and dielectric reading for Ontario samples differed from that for Quebec samples, the proposed regression model helped to compensate for the difference. This model was also effective in predicting moisture content for 365 samples of 1987-crop Eastern Canadian corn. As well, it yielded a better fit to 1986-87 crop data than did the dielectric-based regression model used in CGC Corn Moisture Conversion Table No. 9. en_US
dc.description.sponsorship The preprint is labelled "Paper No. __ of the Canadian Grain Commission, Grain Research Laboratory, Winnipeg, Manitoba R3C 3G8." en_US
dc.language.iso en en_US
dc.publisher NRC Research Press en_US
dc.subject Zea Mays L. en_US
dc.subject predicting corn moisture en_US
dc.subject Model 919 meter en_US
dc.subject capacitance en_US
dc.subject test weight en_US
dc.subject dielectric en_US
dc.title Prediction of the Moisture Content of Eastern Canadian Corn using Measurements of Capacitance and Test Weight en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search WinnSpace


Browse

My Account