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J Sci Food Agric. 2018 Mar;98(5):1734-1742. doi: 10.1002/jsfa.8646. Epub 2017 Oct 17.

Non-destructive technique for determining the viability of soybean (Glycine max) seeds using FT-NIR spectroscopy.

Author information

1
Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, Republic of Korea.
2
Environmental Microbial and Food Safety Laboratory, USDA-ARS, Beltsville, MD, USA.
3
National Institute of Agricultural Science, Rural Development Administration, Jeollabuk-do, Republic of Korea.

Abstract

BACKGROUND:

The viability of seeds is important for determining their quality. A high-quality seed is one that has a high capability of germination that is necessary to ensure high productivity. Hence, developing technology for the detection of seed viability is a high priority in agriculture. Fourier transform near-infrared (FT-NIR) spectroscopy is one of the most popular devices among other vibrational spectroscopies. This study aims to use FT-NIR spectroscopy to determine the viability of soybean seeds.

RESULTS:

Viable and artificial ageing seeds as non-viable soybeans were used in this research. The FT-NIR spectra of soybean seeds were collected and analysed using a partial least-squares discriminant analysis (PLS-DA) to classify viable and non-viable soybean seeds. Moreover, the variable importance in projection (VIP) method for variable selection combined with the PLS-DA was employed. The most effective wavelengths were selected by the VIP method, which selected 146 optimal variables from the full set of 1557 variables.

CONCLUSIONS:

The results demonstrated that the FT-NIR spectral analysis with the PLS-DA method that uses all variables or the selected variables showed good performance based on the high value of prediction accuracy for soybean viability with an accuracy close to 100%. Hence, FT-NIR techniques with a chemometric analysis have the potential for rapidly measuring soybean seed viability. © 2017 Society of Chemical Industry.

KEYWORDS:

near infrared spectroscopy; non-destructive measurement; soybean; viability

PMID:
28858390
DOI:
10.1002/jsfa.8646
[Indexed for MEDLINE]

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