Study on Determination Several Quality Characteristics of Maize by Near Infrared Spectroscopy

doi:10.7668/hbnxb.2008.02.033

Abstract

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 R²_cv(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 R²_cvl(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.

Key words: Near infrared spectroscopy, Maize, Calibration n}del, Crude protein, Crude fat, Crude starch

CLC Number:

S513

MENG Zhao-fang, ZHAO Long-lian, CHENG Yi, CHEN Qiu-sheng, ZHANG Xi, FAN Zhao-hui, YAN Yan-lu. Study on Determination Several Quality Characteristics of Maize by Near Infrared Spectroscopy[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2008, 23(2): 147-150. doi: 10.7668/hbnxb.2008.02.033.

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