Near infrared reflectance spectroscopy and multivariate analyses for fast and non-destructive prediction of corn seed germination
Yükleniyor...
Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Turkish Science and Technology Publishing (TURSTEP)
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The 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.
Açıklama
Anahtar Kelimeler
Corn, FT-NIRS, Multivariate analyses, PLSR, Seed germination rate
Kaynak
Turkish Journal of Agriculture - Food Science and Technology
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
8
Künye
Çeliktaş, 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.
