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A biophysical model of apple (Malus domestica Borkh.) and pear (Pyrus communis L.) fruit growth.

Authors :
Dequeker, Bart
Šalagovič, Jakub
Retta, Moges
Verboven, Pieter
Nicolaï, Bart M.
Source :
Biosystems Engineering. Mar2024, Vol. 239, p130-146. 17p.
Publication Year :
2024

Abstract

Fruit mass and sugar content are important quality attributes of apple and pear fruit. During fruit growth, water and sugars accumulate as a result of the coordination of water and solid fluxes. This causes expansive growth driven by turgor pressure and controlled by cell mechanical properties. To analyse the effect of environmental conditions on fruit growth dynamics, a biophysical model of apple (Malus domestica Borkh.) and pear (Pyrus communis L.) fruit growth was developed and adapted from the Fishman-Génard model. Dynamically changing patterns of average fruit fresh mass, dry mass and soluble solid mass in response to the environmental conditions during multiple seasons of varying environmental conditions were well captured by a parameterised model for apple and pear fruit growth. Sensitivity analyses showed that the model was most sensitive to variations in parameters related to active transport, cell wall extensibility and plant water status. The model enabled the analysis of how fruit growth dynamics were affected by stress conditions. This model, which integrates biophysical laws and parameters governing fruit water and solute dynamics, may serve as a basis to investigate the role of the processes involved in the complex growing behavior of pome fruit, and to optimise and predict fruit growth and quality. • Apple and pear fruit growth were modeled with balance and biophysical equations. • Seasonal dynamics of fruit fresh, dry and soluble solid mass were simulated. • Model sensitivity was highest for active transport and plant water status. • Stress conditions affected fruit growth dynamics and transport processes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15375110
Volume :
239
Database :
Academic Search Index
Journal :
Biosystems Engineering
Publication Type :
Academic Journal
Accession number :
175981974
Full Text :
https://doi.org/10.1016/j.biosystemseng.2024.02.003