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Title:
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Prediction of crude protein and classification of the growth stage of wheat plant samples from NIR spectra
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Author:
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Gatius Cortiella, Ferran; Lloveras Vilamanyà, Jaume; Ferran i Calderó, Xavier; Puy Llorens, Jaume
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Notes:
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Near-infrared spectroscopy (NIRS) was used to analyse the crude protein content of dried and milled samples of wheat and to discriminate samples according to their stage of growth. A calibration set of
72 samples from three growth stages of wheat (tillering, heading and harvest) and a validation set of 28 samples was collected for this purpose. Principal components analysis (PCA) of the calibration
set discriminated groups of samples according to the growth stage of the wheat. Based on these differences, a classification procedure (SIMCA) showed a very accurate classification of the validation set
samples : all of them were successfully classified in each group using this procedure when both the residual and the leverage were used in the classification criteria. Looking only at the residuals all the samples were also correctly classified except one of tillering stage that was assigned to both tillering and heading stages. Finally, the determination of the crude protein content of these samples was
considered in two ways: building up a global model for all the growth stages, and building up local models for each stage, separately. The best prediction results for crude protein were obtained using a global model for samples in the two first growth stages (tillering and heading), and using a local model for the harvest stage samples. |
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Subject(s):
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-Blat -- Creixement
-Espectroscòpia infraroja pròxima
-Proteïnes |
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Rights:
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(c) Cambridge University Press, 2004
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Document type:
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article
publishedVersion |
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Published by:
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Cambridge University Press
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