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dc.contributor.authorGatius Cortiella, Ferran
dc.contributor.authorLloveras Vilamanyà, Jaume
dc.contributor.authorFerran i Calderó, Xavier
dc.contributor.authorPuy Llorens, Jaume
dc.date.accessioned2010-06-29T12:04:51Z
dc.date.available2010-06-29T12:04:51Z
dc.date.issued2004
dc.identifier.issn0021-8596
dc.identifier.urihttp://hdl.handle.net/10459.1/3333
dc.description.abstractNear-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.ca_ES
dc.language.isoengca_ES
dc.publisherCambridge University Pressca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1017/S0021859604004691ca_ES
dc.relation.ispartofJournal of Agricultural Science, 2004, vol. 142, núm. 5, p. 517–524ca_ES
dc.rights(c) Cambridge University Press, 2004ca_ES
dc.subject.otherBlat -- Creixementca_ES
dc.subject.otherEspectroscòpia infraroja pròximaca_ES
dc.subject.otherProteïnesca_ES
dc.titlePrediction of crude protein and classification of the growth stage of wheat plant samples from NIR spectraca_ES
dc.typearticleca_ES
dc.identifier.idgrec004947
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsopen access
dc.identifier.doihttps://doi.org/10.1017/S0021859604004691


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