A sugar flow model predicts cell dynamics, weight, and quality of tomato at varying sink-source ratios and temperatures.

A sugar flow model predicts that increased fruit temperature reduces tomato fruit weight, with hydraulic conductivity and sugar carrier capacities being key factors.

• Why it matters: Understanding how temperature and other growth conditions affect tomato fruit development is crucial for optimizing yield and quality amid climate variability and agricultural practices.
• What they did: The model simulates cell numbers, sizes, sugar contents, and weight by integrating biophysical transport rules, metabolic processes, and physiological responses, calibrated with experimental data from different cultivars.
• The result: Model validation showed that temperature-induced weight reduction and growth responses to pruning and shading are explained by changes in sucrose concentration, enabling better prediction of fruit quality and taste.