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Table of contents
Introduction
Background
Understanding the fruit growth biophysical processes can help fruit producers to improve fruit yield and quality
Process-based models can help to analyze genetic variability of fruit growth-related traits and fruit growth processes responses under diffrent environmental conditions
Objectives and structure of the thesis
Published or submitted chapters
1 Model-assisted estimation of the genetic variability in physiological parameters related to tomato fruit growth under contrasted water conditions
Résumé
2 Model-assisted analysis of the pedicel-fruit system suggests a fruit sugar uptake regulation and a water saving strategy
Authors
Résumé
Abstract
Introduction
Material and methods
Results
Discussion
Conclusions and perspectives
Summary
3 A mechanistic virtual fruit model describing fruit growth and the main fruit pulp solutes metabolisms well predicts fruit growth and highlights possible osmotic potential regulation mechanisms during fruit development
Résumé
Abstract
Introduction
Material and methods
Results
Discussion
Conclusions and perspectives
Findings and conclusion
Perspectives
References
ANNEXES – SUPPLEMENTARY MATERIAL i
S2.1 – Linear system analytical solution
S2.2 – Parameters variability among best solutions
S2.3 – Sensitivity to inputs
S3.1 – Supplementary figures for the 2.4 density treatment




