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Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis. Author(s): OLIVEIRA, G. F.; MIRANDA, T. L. R.; NASCIMENTO, A. C. C.; NASCIMENTO, M.; CAIXETA, E. T.; SILVA, L. de F.; ALKIMIM, E. R.; SILVA, F. L. da Coffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal group... ... Repository: BDPA Publication year: 2021
Classification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors. Author(s): SOUZA, M. S.; FERREIRA, F. M.; ROCHA, R. B.; LOPES, M. T. G.; OLIVEIRA, L. N. L. A strategy for genetic improvement of coffee Coffea canephora plants is to aggregate through artificial crossings the characteristics of the Conilon botanical variety, such as shorter height and droug... ... Repository: BDPA Publication year: 2021
1H NMR-based metabolic profile and chemometric analysis for the discrimination of Passiflora species genotypic variations. Author(s): DUTRA, L. M.; TELES, P. H. V.; SANTOS, A. D. da C.; MELO, N. F. de; NAGATA, N.; ALMEIDA, J. R. G. da S. The species of the genus Passiflora (Passifloraceae family) have been used as food, cosmetic and traditional herbal. As a result, the Passiflora species are widely cultivated and has an economic, medi... ... Repository: BDPA Publication year: 2023
Discriminant analysis in the selection of groups of peach cultivars. Author(s): MELO, G. W. B. de; ROZANE, D. E.; BRUNETTO, G.; LATTUADA, D. S. Brazil ranks 14th in the world in terms of peach and nectarine production. Of the nearly 211,000 tons total output, the state of Rio Grande do Sul produces 60% of the national production, while southe... ... Repository: BDPA Publication year: 2018
Application of fisher's discriminant analysis to classify forest communities in the pampa biome. Author(s): KILCA, R. V.; LONGHI, S. J.; SCHWARTZ, G.; SOUZA, A. M.; WOJCIECHOVSKI, J. C. A análise discriminante de Fisher (ADF) busca realizar uma combinação linear das variáveis independentes com objetivo de maximizar a separação de grupos preditos em um espaço reduzido bidimensional e... ... Repository: BDPA Publication year: 2015
H NMR, FAAS, portable NIR, benchtop NIR, and ATR-FTIR-MIR spectroscopies for characterizing and discriminating new Brazilian Canephora coffees in a multi-block analysis perspective. Author(s): BAQUETA, M. R.; VALDERRAMA, P.; MANDRONE, M.; POLI, F.; COQUEIRO, A.; COSTA-SANTOS, A. C.; REBELLATO. A. A.; LUZ, G. M.; ROCHA, R. B.; PALLONE, J. A. L.; MARINI, F. Different analytical techniques, mixing single and multi-block chemometric analyses in supervised and unsu- pervised approaches, and the selection of variables in the coffee discrimination domain have... ... Repository: BDPA Publication year: 2023
Discrimination of euterpe oleracea mart. (açaí) and euterpe edulis mart. (juçara) intact fruit ssing near-infrared (NIR) spectroscopy and linear discriminant analysis. Author(s): ACQUA, Y. G. D.; CUNHA JÚNIOR, L. C.; NARDINI, V.; LOPES, V. G.; PESSOA, J. D. C.; TEIXEIRA, G. H. de A. Repository: BDPA Publication year: 2015
Direct-infusion electrospray ionization-mass spectrometry analysis reveals atractyligenin derivatives as potential markers for green coffee postharvest discrimination. Author(s): TSUKUI, A.; VENDRAMINI, P. H.; GARRET, R.; SCHOLZ, M. B. S.; EBERLIN, M. N.; BIZZO, H. R.; REZENDE, C. M. Repository: BDPA Publication year: 2019
Discrimination of Brazilian green canephora coffee beans by ultraviolet-visible spectroscopy as a non-target analysis: a tool for recognizing geographical indications. Author(s): MORAES NETO, V. F. de; BAQUETA, M. R.; CARAMÊS, E. T. dos S.; SANTANA, F. B. de; ALVES, E. A.; PALLONE, J. A. L. This study aims to evaluate the feasibility of using the UV–Vis spectroscopy technique associated with a PLS-DA model to discriminate Robusta Amazônico from Conilon coffees in the state of Espírito Sa... ... Repository: BDPA Publication year: 2024
Laser-induced breakdown spectroscopy associated with multivariate analysis applied to discriminate fertilizers of different nature. Author(s): SENESI, G. S.; ROMANO, R. A.; MARANGONI, B. S.; NICOLODELLI, G.; BOAS, P. R. V.; BENITES, V. M.; MILORI, D. M. B. P. Repository: BDPA Publication year: 2017

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