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

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f(dd) = dd max – dd<br />

dd max – dd min<br />

f(dd) = 0 if dd > dd max<br />

Modelling Fruit <strong>Quality</strong> 61<br />

if dd is between dd min <strong>and</strong> dd max<br />

ini max where RGRf is the initial relative growth rate, Wf refers to the limiting final<br />

mass <strong>and</strong> ddmin <strong>and</strong> ddmax are parameters.<br />

A similar equation has been proposed for potential vegetative growth rate. Finally,<br />

if the carbohydrate pool is not empty after allocation to the fruit, it is stored, first<br />

in the leafy shoot <strong>and</strong> then in the one-year-old stem.<br />

4.2.2. CaShoo, a tool to analyse the behaviour <strong>of</strong> shoots bearing fruits<br />

The ability <strong>of</strong> the model to reproduce the effects <strong>of</strong> the shoot-to-fruit ratio was<br />

studied, by comparing simulation outputs with experimental data. The model outputs<br />

were consistent with the general pattern <strong>of</strong> vegetative growth (Figure 5) which shows<br />

no clear differences between shoot-to-fruit ratio treatments.<br />

Corresponding reproductive growth was quite well simulated, with smaller fruit<br />

growth for lower shoot-to-fruit ratio (Figure 5). For the lowest shoot-to-fruit ratio,<br />

the reserves decreased quickly to reach a nil value at 600 degree-days after bloom<br />

<strong>and</strong> refilled itself after 1200 degree-days after bloom. This results in a high photosynthesis<br />

activity during all the season. On the opposite, the reserves are never<br />

nil <strong>and</strong> increase during the season with high shoot-to-fruit ratio which tends to inhibit<br />

photosynthesis (Figure 6). This result is interesting for reasoning horticulture<br />

practices. The presence <strong>of</strong> more assimilates than required during summer in case<br />

<strong>of</strong> high shoot-to-fruit ratio, could improve bud initiation <strong>and</strong> development for the<br />

next season.<br />

The model was used to study the effect <strong>of</strong> source <strong>and</strong> sink factors on fruit mass<br />

at harvest. The factors studied were selected by considering that the source (or<br />

sink) strength is the product <strong>of</strong> a source (sink) size by a source (sink) activity.<br />

The “initial” size <strong>of</strong> leafy shoots (i.e., that established at the beginning <strong>of</strong> active fruit<br />

growth) was chosen as an indicator <strong>of</strong> source size because it was hypothesised to<br />

determine the potential growth <strong>of</strong> leafy shoots (Lescourret et al., 1998a). The light<br />

environment <strong>of</strong> the shoot bearing fruit was selected as it determines source activity.<br />

Its heterogeneity throughout the tree canopy, which has been emphasised by Lakso<br />

et al. (1989), Génard <strong>and</strong> Baret (1994) <strong>and</strong> Kikuchi et al. (1994), causes a large<br />

variation in photosynthesis within the tree (Marini <strong>and</strong> Marini, 1983). Based on<br />

the observations <strong>of</strong> Davis <strong>and</strong> Davis (1948) <strong>and</strong> Batjer <strong>and</strong> Westwood (1958), which<br />

have indicated that the size <strong>of</strong> the fruit at the early stages <strong>of</strong> growth seemed to<br />

influence fruit growth, the initial size <strong>of</strong> the fruit was hypothesised to contribute<br />

to sink size. Finally, sink activity was considered by comparing early <strong>and</strong> late<br />

maturing cultivars, which have different potential relative growth rates <strong>of</strong> fruit.<br />

For each cultivar, the previous factors were considered at three levels (low,<br />

intermediate <strong>and</strong> high). One run was performed per combination <strong>of</strong> factors. The<br />

results <strong>of</strong> the simulations were analysed by analysis <strong>of</strong> variance (fixed effects).<br />

The contribution <strong>of</strong> the different sources <strong>of</strong> variation, measured as the corresponding

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