The possibility of the use of NIR spectrometer to measure the extremely low content of glucosinolates in seeds during the breeding and maintenance of double low oilseed rape varieties
Journal Title: Rośliny Oleiste - Oilseed Crops - Year 2016, Vol 37, Issue 1
Abstract
The basic factor to obtain reliable results by Near Infrared Spectrometry (NIRS) is a good robust calibration. Two calibration methods were investigated. The more universal method called LOCAL was compared to classical PCA method called GLOBAL. LOCAL method is based on a large database from which the calibration set is chosen on the basis of the spectra similarity. This is done during each measurement. The data base for LOCAL method was collected from seed analyses of varieties and strains bred in Poland during last 15 years. GLOBAL method uses constant calibration based on a set of samples with composition similar to this expected in samples which will be measured. Calibration equations for this method were calculated by Principal Component Analysis (PCA). The results obtained by GLOBAL method for the content of both the total and individual glucosinolates in intact seeds were more similar to the results of the chemical analyses than the results obtained with LOCAL method. Glucosinolate content in seeds of double low rapeseed is so low that when the LOCAL method is searching for calibration set from the database, their spectra are dominated by the spectra of the major seed components, such as fat, protein, fiber or moisture. It is impossible to obtain proper calibration for extremely low glucosinolate content. NIRS method with GLOBAL calibration allowed getting results in satisfactory accordance with the results of the chemical analysis for the total of the glucosinolates, the total of the alkenyl glucosinolates, progoitrin, gluconapin. The measurements of the glucosinolates whose content was even smaller, such as glucobrassicanapin, napoliferin or brassicin, show too big an error.
Authors and Affiliations
Krzysztof Michalski, Jan Krzymański
Keywords
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