using lme4 to model regression with non-independent (nested?) data

Dear lme4 list,
I am having trouble modelling regression with seemingly non-independent,
nested observations and I think a mixed model approach (using *lme4* for
example) is required. I am examining the effect of genetic relatedness
of males on the proportion of offspring sired in cases of multiple
paternity (multiple males contributing to a brood of eggs from one
female). I have estimates of the genetic relatedness of each male and
the female it mated with, as well as the proportion of offspring that
male sired in the female's brood of eggs. There are 3-5 males
contributing to a brood, and 9 separate broods sampled for paternity.

*My questions are: *1)Should observations be nested within a female,
2)and/or should female be treated as a random effect (9 broods from 9
females) or both? 3) should relatedness remain a fixed effect? Again, I
am concerned that I have not adequately dealt with the non-independence
of male proportion values.
ID Female   Relat.   Prop.
1    A      .12      .3
2    A      .03      .02
4    A      .23      .68