Abstract: Seedling emergence require quantitative information concerning the interaction of seebed environment and preemergent seedling growth. The objective of this study was to predict the time of emergence of wheat by using mathematical models based on temperature and other indices. Wheat was planted at Malakandher Farm, Agricultural University Peshawar on six dates from 15th October to 30th December 1997 with 15 days interval. Days to emergence and rate of emergence and various indices were computed using the weather data. Coefficient of variation with low value was used as a criteria for predicting the seedling emergence. It was found that the product of mean temperature and photoperiod most accurately predict the seedling emergence of wheat compared with other indices as it has the lowest value among the six planting dates. Results show that this model is a useful tool for investigating the effect of temperature and other indices on seedling emergence.