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note
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Data were analyzed by analysis of covariance with the General Linear Models procedure (PROC GLM) of SAS [19]. Hatchability, embryo viability and sources of mortality were coded as 0 or 1 and analyzed accordingly, as indicated by Harvey [20]. In a preliminary analysis the linear model included the effects of calcium supplementation and breeder age as discrete independent variables and time of opposition as a linear covariate, with 3 two-way interactions between these factors. If an interaction was not statistically significant (P > .05) for a given response variable, it was dropped and the reduced model run in order to obtain least-squares means and estimates of regression coefficients on time of oviposition. The latter were obtained either as pooled coefficients or within age or treatment, according to the significance of the interactions. Results for total eggs were based on data from 13,500 eggs; results for fertile eggs, on 13,145 eggs.
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19
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