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Objectives: NIRS was used to predict the variation in the chemical composition of the leaves of Sterculia setigera during three periods: leaf bud, full leaf and leaf senescence in Senegal local agropastoral region. Methodology and results: The samples were harvested from trees that were randomly selected and analyzed using a monochromatic NIR wavelengths ranging between 900 and 1650 nm reflectance. The calibration model was developed using data from chemical analysis by the technique of Van Soest (Goering & Van Soest, 1979), chemical absorption spectra given by NIRS using of partial least squares regression. The coefficients of determination of the calibration as the standard error (SE), standard error of calibration (SEC), the standard error in cross validation (SECV) as well as the correlation coefficient (R ² = RSQ) are determined by GRAMS-SUITE software. The prediction showed that some crude protein, fiber

Prédiction de la qualité fourragère des feuilles de Sterculia setigera Del. par la méthode de la Spectroscopie Proche Infra Rouge (SPIR)