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Three‐way data analysis of a wheat growing experiment using near infrared spectral data
Author(s) -
Geladi Paul,
Manley Marena
Publication year - 2008
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1125
Subject(s) - cultivar , smoothing , locality , infrared , mathematics , fourier transform , wavelength , near infrared spectroscopy , analytical chemistry (journal) , biological system , chemistry , agronomy , statistics , physics , optics , environmental chemistry , mathematical analysis , biology , linguistics , philosophy
An agricultural growing experiment cultivating 10 cultivars at five localities produced whole wheat flour samples that were analysed by Fourier transform near infrared (FT‐NIR) spectroscopy. This produced a three‐way data array: locality × cultivar × wavelength. By taking smoothing first derivatives and removing a noisy part of the spectra meaningful PARAFAC (PARAllel FACtor analysis) models could be produced. Two factors could be interpreted spectroscopically, showing that cultivar properties are related in a not so trivial way to average wheat hardness values and that locality variations are straightforwardly related to average protein content. Copyright © 2008 John Wiley & Sons, Ltd.