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http://dx.doi.org/10.5333/KGFS.2020.40.4.259

Variey Discrimination of Sorghum-Sudangrass Hybrids Seed Using near Infrared Spectroscopy  

Lee, Ki-Won (Grassland and Forage Division, National Institute of Animal Science, Rural Development Administration)
Song, Yowook (Grassland and Forage Division, National Institute of Animal Science, Rural Development Administration)
Kim, Ji Hye (Grassland and Forage Division, National Institute of Animal Science, Rural Development Administration)
Rahman, Md Atikur (Grassland and Forage Division, National Institute of Animal Science, Rural Development Administration)
Oh, Mirae (Grassland and Forage Division, National Institute of Animal Science, Rural Development Administration)
Park, Hyung Soo (Grassland and Forage Division, National Institute of Animal Science, Rural Development Administration)
Publication Information
Journal of The Korean Society of Grassland and Forage Science / v.40, no.4, 2020 , pp. 259-264 More about this Journal
Abstract
The aim of this study was to investigate the feasibility of discrimination 12 different cultivar of sorghum × sudangrass hybrid (Sorghum genus) seed through near infrared spectroscopy (NIRS). The amount of samples for develop to the best discriminant equation was 360. Whole samples were applied different three spectra range (visible, NIR and full range) within 680-2500 nm wavelength and the spectrastar 2500 Near near infrared was used to measure spectra. The calibration equation for discriminant analysis was developed partial least square (PLS) regression and discrimination equation (DE) analysis. The PLS discriminant analysis model for three spectra range developed with mathematic pretreatment 1,8,8,1 successfully discriminated 12 different sorghum genus. External validation indicated that all samples were discriminated correctly. The whole discriminant accuracy shown 82 ~ 100 % in NIR full range spectra. The results demonstrated the usefulness of NIRS combined with chemometrics as a rapid method for discrimination of sorghum × sudangrass hybrid cultivar through seed.
Keywords
Identification; Sorghum; Seed quality; Species discrimination;
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Times Cited By KSCI : 4  (Citation Analysis)
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