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Non-destructive genotypes classification and oil content prediction using near-infrared spectroscopy and chemometric tools in soybean breeding program

Daniel Carvalho Leite, Aretha Arcenio Pimentel Corrêa, Luís Carlos Cunha, Kássio M. G. Lima, Camilo L. M. Morais, Viviane Formice Vianna, Gustavo Henrique de Almeida Teixeira, Antônio Orlando Di Mauro, Sandra Helena Unêda‐Trevisoli

2020Journal of Food Composition and Analysis16 citationsDOIOpen Access PDF

Topics & Concepts

Partial least squares regressionChemometricsLinear discriminant analysisNear-infrared spectroscopySoybean oilMathematicsContent (measure theory)Food scienceChemistryStatisticsBiologyChromatographyNeuroscienceMathematical analysisSpectroscopy and Chemometric AnalysesSoybean genetics and cultivation
Non-destructive genotypes classification and oil content prediction using near-infrared spectroscopy and chemometric tools in soybean breeding program | Litcius