One experiment was conducted in order to test the utility of near-infrared spectroscopy (NIRS) to predict mohair quality, i.e.i) clean mohair content and ii) mean fibre diameter (MFD) in Angora goat fleece. A total of 397 mohair fleece samples were collected in 2016 within the framework of the French selection scheme including performance recording, fleece assessment and fibre measurements. Fleece samples were laboratory measured for clean mohair content and MFD by OFDA methodology, then scanned in a Petri dish using a NIRS portable instrument (LabSpec ® 5000; ASD Inc, Boulder, USA) by reflectance in the VIS and NIR regions (350to 2,500nm). Partial least square (PLS) regression was used to develop a number of calibration models between the spectral and reference measurements. Different mathematical treatments were used during model development. The methods studied were partial least squares regression (PLS) and first-derivative pretreatment + PLS.Cross validation was used to assess the performance and avoid overfitting of the models. NIR prediction of MFD gave a low R² (<0.70) whatever the calibration models. By using the firstderivative of the raw spectra in the NIR region (800 to 2,500nm), the calibration models gave a coefficient of determination in calibration (R²) of 0.81 for clean mohair content with a low relative error (3.5%). It is concluded that NIR reflectance spectroscopy can be used to predict clean mohair content with a good precision but not for determining mean fibre diameter. However the use of OFDA 2000 MFD measurement along the greasy staple can be used as an alternative. Thus NIR spectroscopy to predict clean mohair content and OFDA2000 to measure fibre diameter along greasy staple would be widely used to assist the French Angora goat breeding program and allowing a large reduced cost of fibre measurements.