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Production Practices and Quality Assessment of Food Crops. Vol. 1

Production Practices and Quality Assessment of Food Crops. Vol. 1

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Is it the only level to be considered? No, because fruit quality varies according to<br />

different levels <strong>of</strong> organisation, as mentioned before. In fruit trees, the tree is the<br />

key level, since most variations emerge at this level (Marini <strong>and</strong> Trout, 1984;<br />

Habib et al., 1991; Audergon et al., 1993; De Silva et al., 2000), <strong>and</strong> also because<br />

it is the target <strong>of</strong> most technical interventions. Thus, modelling fruit development<br />

with an emphasis on variability within the tree is a crucial step towards improving<br />

fruit quality through horticultural practices. The high variability <strong>of</strong> fruit quality<br />

observed at the level <strong>of</strong> the tree mainly results from sink-source relationships<br />

within the tree. We will now analyse these two levels.<br />

4.1. Models <strong>of</strong> fruit physiology<br />

Modelling Fruit <strong>Quality</strong> 51<br />

Size is one <strong>of</strong> the main parameters <strong>of</strong> fruit quality. Indeed, the price paid to the<br />

grower closely depends on fruit size. Many models have dealt with fruit growth.<br />

Some authors have tried to h<strong>and</strong>le the variability observed in fruit growth, either<br />

by using a stochastic approach <strong>of</strong> growth rates (Hall <strong>and</strong> G<strong>and</strong>ar, 1996) or by<br />

considering the factors influencing the sink strength <strong>of</strong> the fruit, e.g. the individual<br />

number <strong>of</strong> seeds in the case <strong>of</strong> kiwifruit (Doyle et al., 1989; Lescourret et al., 1998b).<br />

However, these studies usually neglect the effect <strong>of</strong> the tree on fruit development.<br />

Therefore, we developed a model <strong>of</strong> fruit growth able to simulate dry matter <strong>and</strong><br />

water accumulation in the fruit according to the water <strong>and</strong> carbon status <strong>of</strong> the<br />

plant (Fishman <strong>and</strong> Génard, 1998). Sweetness is also a significant feature <strong>of</strong> fruit<br />

quality. It is more <strong>and</strong> more considered by producers <strong>and</strong> consumers <strong>and</strong> begins<br />

to take part in fruit price determination. A model <strong>of</strong> sugar accumulation in peach<br />

simulating the sweetness as a function <strong>of</strong> fruit development has been proposed<br />

(Génard <strong>and</strong> Souty, 1996). These two models will be presented hereafter: the first<br />

model is an example <strong>of</strong> what can be called a biophysical model, <strong>and</strong> the second a<br />

metabolic model.<br />

4.1.1. SWAF: a biophysical model <strong>of</strong> Sugar <strong>and</strong> Water Accumulation in the Fruit<br />

The present model is based on the biophysical representation <strong>of</strong> water <strong>and</strong> dry matter<br />

transport combined with the growth process stimulated by turgor pressure. It simulates<br />

the period <strong>of</strong> fruit growth which does not involve cell division. Fruit flesh<br />

is described as one compartment separated from the atmosphere <strong>and</strong> parent plant<br />

by membranes. The parent plant supplies the fruit with water <strong>and</strong> sugars which<br />

are brought through xylem vessels <strong>and</strong> phloem sieve tubes. The fruit consumes<br />

carbon <strong>and</strong> water through the respiration <strong>and</strong> transpiration processes. The main state<br />

variables <strong>of</strong> the system are the amount <strong>of</strong> water (W water) <strong>and</strong> <strong>of</strong> dry matter (W dry)<br />

in the fruit. The hourly inputs <strong>of</strong> the model are temperature <strong>and</strong> relative humidity<br />

<strong>of</strong> the ambient atmosphere, water potential in xylem vessels, <strong>and</strong> sugars concentration<br />

in the phloem sap. Only the main equations <strong>of</strong> the model are presented<br />

hereafter, the readers interested in a complete description <strong>of</strong> this model will find a<br />

more accurate description in Fishman <strong>and</strong> Génard (1998).

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