Improving the prediction performance of soluble solids content (SSC) in kiwifruit by means of near-infrared spectroscopy using slope/bias correction and calibration updating

•Performance of models based on continuous and discrete effective wavelengths was compared.•Robustness of local models was improved by calibration updating or slope/bias correction.•Minimum random new sample numbers for updating and slope/bias correction were 30 and 20.•Slope/bias correction could eliminate effect of biological variability better than updating.