AbstractThe relationship between temperature and ovarian development rates, as well as the cumulative probability of a female becoming gravid, were determined for the house fly, Musca domestica (L.), based on previously published information. These relationships were combined to form a model that simulates oviposition of house fly populations using average daily temperatures, eggs per cycle, and daily survival as input. Simulation results were compared with observed oviposition in three caged populations of house flies exposed to field temperatures. A high correlation occurred between simulated and observed eggs laid (r = 0.88), as well as between simulated and observed lxmx (r = 0.91). The model overestimated the onset of oviposition for one population, but closely simulated the timing of oviposition for the other two. The model also tended to overestimate the reproductive contribution of flies during the second and subsequent ovarian cycles.