Steve Schaffner
Posts: 13
Joined: June 2009
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| Quote (Bob O'H @ June 19 2009,12:02) | I haven't looked at the code, but if we assuming a constant population size and discrete generations, then (ignoring recombination and mutation), the way to model this is to assume that each parent has a fitness si. The offspring are then drawn from a multinomial distribution with probability for the ith parent being
si/sum(si)
(this would reduce to a binomial distribution if there were only 2 parents). The multinomial sampling is genetic drift.
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Yes, I've written a program for that kind of model, except that I imposed selection in the differential survival of the offspring. Including options for truncation selection and a few other things, it amounted to all of 158 lines, including comments, white space and the multinomial routine.
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You can treat log(si) as you would any standard trait: it's additive, so you can add the genetic and environmental effects.
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I haven't thought about this before. Does adding environmental effects do anything more than reduce the effective selection coefficient?
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