Prediction of antioxidant content of festulolium using near-infrared reflectance spectroscopy: Wavelength selective PLSR method
2019
Eguchi, K. (Central Region Agricultural Research Center, NARO (Japan)) | Kimura, T. | Kawamura, K. | Uchiyama, K.
Festulolium is an excellent temperate grass. Festulolium was cultivated in the test field; the leaves of 163 strains were sampled during the second and third herbaceous internode elongation stages, vacuum freeze dried and crushed, and chemically assayed for total polyphenols, α-tocopherol, lutein and β-carotene content. The calibration curve was generated by the usual PLSR method and the wavelength selective PLSR method, using the near-infrared spectrum and the chemical analysis value of the crushed leaves. The Rsup(2)sub(cv) (Coefficient of determination of cross-validation) and RPD (Ratio of standard error of standard deviation of reference data in predicted sample set to Standard error of cross-validation) of the total polyphenol content were 0.865 and 2.693 for the PLSR method, 0.930 and 3.772 for the Iterative Stepwise Elimination PLSR (ISE-PLSR) method, and 0.897 and 3.108 for the (Genetic Algorithm PLSR) GA-PLSR method, respectively, and can be estimated with practical accuracy. The Rsup(2)sub(cv) and RPD of α-tocopherol content were 0.425 and 1.302 for the PLSR method, 0.473 and 1.378 for the ISE-PLSR method, and 0.495 and 1.406 for the GA-PLSR method, respectively, and could be estimated with rough accuracy. The Rsup(2)sub(cv) and RPD of β-carotene content were 0.562 and 1.504 for the PLSR method, 0.589 and 1.558 for the ISE-PLSR method, and 0.648 and 1.683 for the GA-PLSR method, respectively, and could be estimated with rough accuracy, The Rsup(2)sub(cv) and RPD of lutein were 0.429 and 1.299 for the PLSR method, 0.621 and 1.589 for the ISE-PLSR method, and 0.474 and 1.377 for the GA-PLSR method, and their estimation was possible with rough accuracy.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Agriculture, Forestry and Fisheries Research Information Technology Center
Découvrez la collection de ce fournisseur de données dans AGRIS