Abstract
The absorption coefficient of the fruit flesh at 670 nm (µa), measured at harvest by time-resolved reflectance spectroscopy (TRS) is a good maturity index for early nectarine cultivars. A kinetic model has been developed linking the µa, expressed as the biological shift factor to softening during ripening. This allows shelf life prediction for individual fruit from the value of µa at harvest and the fruit categorization into predicted softening and usability classes. In this work, the predictive capacity of a kinetic model developed using µa data at harvest and firmness data within 1-2 d after harvest for a late maturing nectarine cultivar (‘Morsiani 90’) was tested for prediction and classification ability. Compared to early maturing cultivars, µa at harvest had low values and low variability, indicating advanced maturity, whereas firmness was similar. Hence, fruit were categorized into six usability classes (from ‘transportable-hard’ to ‘ready-to-eat-very soft’) basing on µa limits established analyzing firmness data in shelf life after harvest. The model was tested by comparing the predicted firmness and class of usability to the actual ones measured during ripening and its performance compared to that of models based on data during the whole shelf life at 20 °C after harvest and after storage at 0 °C and 4 °C. The model showed a classification ability very close to that of models based on data of the whole shelf life, and was able to correctly segregate the ‘ready-to-eat-transportable’, ‘transportable’ and ‘transportable-hard’ classes for ripening at harvest and after storage at 0 °C, and the ‘ready-to-eat-very soft’ and ‘ready-to-eat-soft’ classes for ripening after storage at 4 °C, with lower performance of models for fruit after storage at 4 °C respect to those of the other two ripening.
