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Annexe A<br />

_____________________________________________<br />

⎛<br />

r = r ⎜1+<br />

e<br />

g m<br />

⎜<br />

⎝<br />

⎛P<br />

g r ⎞<br />

⎜<br />

− a ⎟<br />

⎜<br />

S g ⎟<br />

⎝ ⎠<br />

⎞<br />

⎟<br />

⎟<br />

⎠<br />

−1<br />

The inhibition effect of estrogens on gonad’s growth inclu<strong>de</strong>s the growth rate of the<br />

aromatase activity in the gonad r a and two parameters, P g and S g that controlled respectively<br />

the inflexion point of the function r g and the shape at this point.<br />

General parameters fitting procedure<br />

Log-transformed observations (mass of embryo m i , aromatase activity a i or gonad mass g i )<br />

have been fitted to exponential growth function using maximum-likelihood criteria:<br />

ln y = ln C+<br />

rx<br />

i<br />

i<br />

where x i is the time of <strong>de</strong>velopment (i.e. t i ) for the embryo and gonadal mass mo<strong>de</strong>l and the<br />

mass of the embryo (i.e. m i ) for aromatase activity mo<strong>de</strong>l. C is the initial value of m i, a i and g i<br />

in respective mo<strong>de</strong>ls. As the gonad appears at stage 12 of embryogenesis (i.e. embryo mass of<br />

170 mg), an origin shift is performed for the aromatase and gonadal mo<strong>de</strong>l.<br />

[For convenience in our mechanistic mo<strong>de</strong>l, we have initially transformed data of gonad’s<br />

protein content <strong>de</strong>pen<strong>de</strong>nt on mass of the embryo to obtain gonad’s protein content function<br />

of time of <strong>de</strong>velopment from fitted embryo’s mass mo<strong>de</strong>l m i ]<br />

The error around each point is supposed to be Gaussian and is mo<strong>de</strong>led as being:<br />

SD = a + b y<br />

i<br />

i<br />

c<br />

This formula ren<strong>de</strong>rs homoskedasticity (b=0) and heteroskedasticity (b≠0) within the same<br />

formula. If c=0, the standard <strong>de</strong>viation is directly proportional to the observed output whereas<br />

c≠0 permits to mo<strong>de</strong>l complex shape of heteroskedasticity.<br />

4

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