Classification of Fusarium-Infected Korean Hulled Barley Using Near-Infrared Reflectance Spectroscopy and Partial Least Squares Discriminant Analysis.

Jongguk Lim,Hyeonheui Ham,Moon S Kim,Hyeonchae Yoo,Kyoungmin Oh,Changyeun Mo,Giyoung Kim

doi:10.3390/s17102258

Abstract

The purpose of this study is to use near-infrared reflectance (NIR) spectroscopy equipment to nondestructively and rapidly discriminate Fusarium-infected hulled barley. Both normal hulled barley and Fusarium-infected hulled barley were scanned by using a NIR spectrometer with a wavelength range of 1175 to 2170 nm. Multiple mathematical pretreatments were applied to the reflectance spectra obtained for Fusarium discrimination and the multivariate analysis method of partial least squares discriminant analysis (PLS-DA) was used for discriminant prediction. The PLS-DA prediction model developed by applying the second-order derivative pretreatment to the reflectance spectra obtained from the side of hulled barley without crease achieved 100% accuracy in discriminating the normal hulled barley and the Fusarium-infected hulled barley. These results demonstrated the feasibility of rapid discrimination of the Fusarium-infected hulled barley by combining multivariate analysis with the NIR spectroscopic technique, which is utilized as a nondestructive detection method.

Highlights

Fusarium ( F. graminearum) that occurs in the heads of cereal crops such as barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.) has been reported to decrease the yield and degrade the quality, resulting in enormous economic losses to farmers [1]
Independent variables used used for partial least squares discriminant analysis (PLS-DA) model development are the reflectance spectra obtained from hulled barley for partial least squares (PLS)-DA model development are the reflectance spectra obtained from hulled barley samples
The random dummy variables were designated as ‘0’ for the dependent variables, the random dummy variables were designated as ‘0’ for the reflectance spectra reflectance spectra obtained from the normal samples that were not infected with Fusarium, and the obtained from the normal samples that wereasnot with Fusarium, samples and the to random random dummy variables were designated

Summary

Introduction

Fusarium ( F. graminearum) that occurs in the heads of cereal crops such as barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.) has been reported to decrease the yield and degrade the quality, resulting in enormous economic losses to farmers [1]. The Fusarium pathogen grows rapidly between 10 and 25 ◦ C in a high humidity environment due to heavy rainfall in the heading period of the cereal crops, leading to an increase in the occurrence frequency [2]. In 1998, the incidence of Fusarium infection damaged 39,202 hectares of fields, corresponding to 47.8% of the total cultivation area. If mycotoxins such as deoxynivalenol (DON), nivalenol (NIV), and zearalenone (ZEA)

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Conclusion