Replication in logistic regression

Hello. I'm planning a seed germination experiment where n total seeds are evenly distributed across i replicates of j treatments (so that n equals i*j*number of seeds per replicate). I will compare the proportion of germinated seeds among treatments using a logistic regression model.

My query is, given a fixed total number of seeds (n) żDoes the distribution of seeds across replicates affect the power of a logistic regression model? Say żis it the same to have 100 seeds distributed in 10 replicates (n=1000) as to having 10 seeds distributed in 100 replicates?

My confusion arises because, as far as I know, the Chi2 statistic gets its power from the total number of elements counted (n?).

I would certainly appreciate any comment on this.