Title: Study on Determination Several Quality Characteristics of Maize by Near Infrared Spectroscopy
Abstract: NIR models of crude protein,crude fat and crude starch in maize were built using Partial Least Squares(PLS),and the predictive veracity of these models were evaluated.The R2cv(coefficients of determinition for cross validation)for determining crude protein,fat and starch were 0.977 8,0.966 6 and 0.992 7 respectively,as the RMSECV were 0.38,0.40 and 1.51.The R2val(coefficients of determination for validation) were 0.939 1,0.965 1 and 0.987 5.As RMSEP are 0.41,0.35 and 1.31.Then,these models were all used to predict practical maize samples.Comparing with the true values from chemical analysis,the NIR models could predict veraciously.This result combined with the calibration results suggested that the NIR models we built could be used to a mass of sample analysis in maize breeding.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
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