Production Practices and Quality Assessment of Food Crops. Vol. 1
Production Practices and Quality Assessment of Food Crops. Vol. 1
Production Practices and Quality Assessment of Food Crops. Vol. 1
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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).