Phenotypic classification of sugarcane from near infrared spectra obtained directly from stalk using ordered predictors selection and partial least squares-discriminant analysis

  • L. A. Peternelli
  • M. H.P. Barbosa
  • J. V. Roque
  • R. F. Teofilo
Department of Agronomy, Universidade Federal de Viçosa, 36570-900, Viçosa, MG, Brazil

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Department of Chemistry, Universidade Federal de Viçosa, 36570-900, Viçosa, MG, Brazil

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Department of Chemistry, Universidade Federal de Viçosa, 36570-900, Viçosa, MG, Brazil

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 Corresponding Author
Department of Statistics, Universidade Federal de Viçosa, 36570-900, Viçosa, MG, Brazil
[email protected]
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A new method was developed for the early selection of sugarcane genotypes using near infrared spectroscopy combined with partial least squares discriminant analysis (PLS-DA) and a variable selection method named ordered predictors selection (OPS). The use of the OPS method improved the predictive capacity of PLS-DA models to classify the sugarcane samples correctly according to fiber content (FC) and pol percent (PP).


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