SELECTION OF 'SPRINGBRIGHT' NECTARINES BY TIME-RESOLVED REFLECTANCE SPECTROSCOPY (TRS) TO PREDICT FRUIT QUALITY IN THE MARKETING CHAIN

P. Eccher Zerbini, M. Grassi, M. Fibiani, A. Rizzolo, G. Biscotti, A. Pifferi, A. Torricelli, R. Cubeddu

   Maturity of peaches and nectarines at harvest determines fruit quality: less mature fruit are easy to handle, but lack flavour, while mature picked peaches and nectarines have better flavour, but soften quickly. In the new cultivars the red overcolour develops early preventing the background colour, which is a good harvesting index, from being seen. Time-resolved reflectance spectroscopy (TRS) is a non-destructive method for optical characterisation of highly diffusive media. Aim of the work was to check the usefulness of the absorption coefficient μa measured at 670 nm (μa670) to assess nectarine maturity at harvest in order to predict quality during shelf life. Springbright nectarines of two sizes were picked on 18 July 2002. 140 fruits of each size were ranked by decreasing μa670 (from less mature to more mature). Fruit were stored at 0°C for 3 days, then at 20°C for 2 or 3 days. To ensure that fruit from the whole range of μa670 were available in each sample, ranked nectarines were randomly assigned to analysis at harvest (mass; skin colour; firmness; soluble solids) and during shelf life (skin colour; firmness; soluble solids; acidity; % juice; sensory analysis). At harvest, fruit mass was lower and firmness was higher in fruit with higher μa670. Soluble solids depended only on fruit size. During shelf life, with lower μa670 at harvest, the % juice was higher and fruit pulp softened earlier. At sensory analysis, fruit with lower μa670 were significantly less firm and more juicy, sweet, pulpy and aromatic. Non linear regression analysis showed that softening during shelf life followed a logistic model in function of μa670 at harvest and of time at 20°C (R2=0.85). By selecting at harvest nectarines according to their μa670 value, the softening rate can be predicted and the fruit for the different marketing destinations can therefore correctly be identified.

Eccher Zerbini, P., Grassi, M., Fibiani, M., Rizzolo, A., Biscotti, G., Pifferi, A., Torricelli, A. and Cubeddu, R. (2003). SELECTION OF 'SPRINGBRIGHT' NECTARINES BY TIME-RESOLVED REFLECTANCE SPECTROSCOPY (TRS) TO PREDICT FRUIT QUALITY IN THE MARKETING CHAIN. Acta Hortic. 604, 171-177
DOI: 10.17660/ActaHortic.2003.604.16
https://doi.org/10.17660/ActaHortic.2003.604.16
Prunus persica (L.) Batsch, fruit maturity, firmness, sensory analysis, non linear regression, modelling
English

Acta Horticulturae