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

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.

Plant phenotyping relevance

NIR分光とPLS-DAを組み合わせ、感染した穀粒という植物状態を非破壊・迅速に識別する方法を開発・評価しており、測定手法が研究の中心である。

Code and data availability

The article describes NIR spectral collection from 515 barley kernels and PLS-DA modeling, but contains no data availability statement, no public repository deposit of spectra or culture results, no author code/model release, and no supplementary files. The only URL present is the CC BY license link, which is not a pap

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