Prediction of crude protein and classification of the growth stage of wheat plant samples from NIR spectra
Ferran i Calderó, Xavier
MetadataShow full item record
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.
Is part ofJournal of Agricultural Science, 2004, vol. 142, núm. 5, p. 517–524
European research projects
Showing items related by title, author, creator and subject.
Femenias, Antoni; Gatius Cortiella, Ferran; Ramos Girona, Antonio J.; Sanchís Almenar, Vicente; Marín Sillué, Sònia (Elsevier, 2020-09-30)The present study aimed to evaluate the use of hyperspectral imaging (HSI)-NIR spectroscopy to assess the presence of DON and ergosterol presence in wheat samples through prediction and classification models. To achieve ...
Standardisation of near infrared hyperspectral imaging for quantification and classification of DON contaminated wheat samples Femenias, Antoni; Gatius Cortiella, Ferran; Ramos Girona, Antonio J.; Sanchís Almenar, Vicente; Marín Sillué, Sònia (Elsevier, 2019-12-23)Near infrared hyperspectral imaging (HSI-NIR) is considered a promising technique able to replace time-con- suming, costly and destructive classic methods to predict and classify deoxynivalenol (DON) contaminated wheat ...
Characterization of cuticle composition after cold storage of "Celeste" and "Somerset" sweet cherry fruit Belge, Burcu; Llovera i Arcas, Montserrat; Comabella, Eva; Gatius Cortiella, Ferran; Guillén, Pere; Graell i Sarle, Jordi; Lara Ayala, Isabel (American Chemical Society, 2014-08-04)Cuticle composition and structure may be relevant factors affecting the storage potential of fruits, but very few studies have analyzed fruit cuticle composition from a postharvest perspective. In this work, the chemical ...