Abstract: In order to achieve NIRS (near infrared reflectance spectroscopy) calibration model sharing among similar NIRS instruments, an optimal NIRS partial least square (PLS) regression model was established using the major instrument and transfer to the minor instrument by either slope bias correction (SBC) or direct standardization (DS). In addition, the dependence of calibration transfer on the number of standardization samples was explored. The results showed that the root mean squared errors of prediction (RMSEP) for the calibration model were 0.448% and 0.756% after standardization by DS and SBC, respectively. Thus, the DS method was better than the SBC method and could be used to successfully transfer the calibration model

Key words: navel orange, total sugar, near infrared, slope/bias correction, direct standardization, calibration transfer