A process-based model to predict the evolution and final concentration of sugars in mangoes
Mango (Mangifera indica) is a major tropical fruit that is known for its delicious taste. However, a wide heterogeneity of sugar contents is reported between mangoes. To tackle this issue, the main objective of this study has been to develop a predictive model of sugars concentration in mangoes during the fruit growth and maturation. This dynamic model is based on differential equations which describe the action of enzymes on the accumulation and degradation of the various compounds of interest and predict the accumulation and the degradation of soluble sugars and starch inside the pulp of the fruit. This model considers pre- and postharvest factors that affect changes in sugars content, like carbohydrate supply to the fruit and storage temperature. Overall, the model is used to simulate the evolution of soluble sugars and starch during: i) fruit growth (after the end of the cell division) and maturation on fruits still on the tree; and ii) ripening of harvested fruits during storage. Furthermore, it allows to simulate effects of fruit growth intensity, fruit maturity at harvest and storage temperature on the concentrations of sugars. The model is developed for the cultivar Cogshall in Réunion Island. Model parameters were either taken from the literature or estimated with experimental data. The ongoing modelling approach and preliminary results are presented and discussed.
Drouillard, A., Grechi, I., Lechaudel, M., Laridon, Y. and Génard, M. (2021). A process-based model to predict the evolution and final concentration of sugars in mangoes. Acta Hortic. 1311, 91-98
fruit quality, Mangifera indica, dynamic model, soluble sugars, starch, preharvest, postharvest