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

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Modelling Fruit <strong>Quality</strong> 57<br />

fructose, respectively; ( ph is the proportion <strong>of</strong> sucrose in the phloem sugar pool,<br />

which results from plant metabolism; k 1(t), k 2(t), k 3(t) <strong>and</strong> k 4(t) represent the relative<br />

rates <strong>of</strong> sugar transformation for net sucrose transformation into glucose <strong>and</strong> fructose,<br />

net sorbitol transformation into glucose <strong>and</strong> fructose, <strong>and</strong> the synthesis <strong>of</strong> compounds<br />

other than sugars from glucose <strong>and</strong> fructose.<br />

These relative rates are calculated according to the following equations<br />

k2(t) = k2 k3(t) = k3 1<br />

k4(t) = k4 Wdry dW dry<br />

dt<br />

where k 1, 3 is a constant equal to 1 day –1 , k 1, 1, k 1, 2, k 2, k 3 <strong>and</strong> k 4 are parameters,<br />

<strong>and</strong> W dry is the dry mass <strong>of</strong> the fruit flesh.<br />

(dM ph/dt) <strong>and</strong> (dM re/dt) are the phloem <strong>and</strong> respiration flows <strong>of</strong> carbon into <strong>and</strong><br />

out <strong>of</strong> the fruit, respectively<br />

dM ph<br />

dt<br />

dMdry dMre = σfl + (3)<br />

dt dt<br />

where σ fl is the carbon content <strong>of</strong> flesh.<br />

Sugar concentrations are computed as<br />

Csu = 100Msu , Cso =<br />

σsuWfresh 100Mso , Cgl =<br />

σsoWfresh 100Mgl σglWfresh , C fr = 100M fr<br />

σ frW fresh<br />

where σ su, σ so, σ gl <strong>and</strong> σ fr are the carbon content <strong>of</strong> 1 g <strong>of</strong> sucrose, sorbitol, glucose<br />

<strong>and</strong> fructose, respectively. W fresh is the fresh mass <strong>of</strong> the flesh.<br />

The sweetness <strong>of</strong> each sugar is computed using its sweetness rating according<br />

to Kulp et al. (1991).<br />

Time-step in the model is one day. Daily mean temperature <strong>and</strong> daily dry <strong>and</strong><br />

fresh flesh masses are the inputs <strong>of</strong> SUGAR. Previous studies (Génard <strong>and</strong> Souty,<br />

1996; Génard <strong>and</strong> Huguet, 1999) have shown that the SUGAR model predicts the<br />

sugar content <strong>of</strong> peaches with a fairly good accuracy over a wide range <strong>of</strong> fruit<br />

growth rates.<br />

4.1.2.2. Seasonal variation <strong>of</strong> sugar concentrations <strong>and</strong> sweetness shown by SUGAR<br />

The simulations were performed during the main period <strong>of</strong> flesh development (two<br />

months before maturity for the peach cultivar ‘Suncrest’). Figure 3 presents a typical<br />

output <strong>of</strong> the model. Sucrose concentration presents a seasonal increase whereas<br />

sorbitol is always low, <strong>and</strong> glucose <strong>and</strong> fructose concentrations present almost no<br />

change during the season. Total sweetness increases during the season. The effect<br />

<strong>of</strong> an increase in assimilate supply, due to fruit thinning for example which increases<br />

leaf to fruit ratio, is mainly an increase in sucrose <strong>and</strong> sweetness.<br />

(2)<br />

, (4)

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