Near infrared reflectance spectroscopy and multivariate analyses for fast and non-destructive prediction of corn seed germination

dc.authorid0000-0002-0467-1034en_US
dc.authorid0000-0003-1135-2346en_US
dc.contributor.authorÇeliktaş, Nafiz
dc.contributor.authorKonuşkan, Ömer
dc.date.accessioned2021-01-08T12:16:04Z
dc.date.available2021-01-08T12:16:04Z
dc.date.issued2020en_US
dc.departmentZiraat Fakültesien_US
dc.description.abstractThe application of near-infrared reflectance spectroscopy (NIRS) and multivariate analysis for determining the seed germination rate of corn genotypes was assessed. Seed samples about 90 gr belong to commercial and local corn varieties at various ages were scanned with FT-NIRS on the reflectance mode from 1000 to 2500 nm wavelength. Filter paper technique showed the seed germination rates varied between 18-100% depending on the genotypes after 7 days at ±25°C. Partial least squares regression (PLSR) was applied to the reference values corresponding to the spectra. The best statistical results obtained from the pre-treatment combinations of Smooth Savitzky-Golay 9 Points (sg9), MSC full and normalization to unit length (nle). The regression coefficient of calibration (R2C) and prediction (R2P) of the created NIRS calibration via chemometric software NIRCal are realized 0.97 and 0.98 respectively for the property of corn germination rate. The standard error of both calibration (SEC) and prediction (SEP) were almost overlapping (4.17%, 4.61% respectively). The prediction accuracy of the final NIRS model was quite reasonable with the acceptable root mean standard error of prediction (RMSEP) as 8.88%. According to the residual predictive deviation (RPD) index (4.18), the accuracy of the NIRS model regarded as in the best category. Therefore, the NIRS model developed here is sufficient to predict the corn seed germination rate very fast and non-destructively without using any regents.en_US
dc.identifier.citationÇeliktaş, N., & Konuşkan, Ö. (2020). Near Infrared Reflectance Spectroscopy and Multivariate Analyses for Fast and Non-Destructive Prediction of Corn Seed Germination. Turkish Journal of Agriculture-Food Science and Technology, 8(8), 1636-1642.en_US
dc.identifier.doi10.24925/turjaf.v8i8.1636-1642.3384en_US
dc.identifier.endpage1642en_US
dc.identifier.issn2148-127X
dc.identifier.issue8en_US
dc.identifier.startpage1636en_US
dc.identifier.trdizinid371572en_US
dc.identifier.urihttps://dx.doi.org/10.24925/turjaf.v8i8.1636-1642.3384
dc.identifier.urihttps://hdl.handle.net/20.500.12483/3103
dc.identifier.volume8en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherTurkish Science and Technology Publishing (TURSTEP)en_US
dc.relation.ispartofTurkish Journal of Agriculture - Food Science and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCornen_US
dc.subjectFT-NIRSen_US
dc.subjectMultivariate analysesen_US
dc.subjectPLSRen_US
dc.subjectSeed germination rateen_US
dc.titleNear infrared reflectance spectroscopy and multivariate analyses for fast and non-destructive prediction of corn seed germinationen_US
dc.typeArticleen_US

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