Abstract: Based on Markov Model and probability distribution function,a relative meteorological yield prediction model of wheat was developed by analyzing the inter-annual time series variations of meteorological component of crop yield which was determined by the meteorological factors.The validation of the model was performed by using the wheat yields collected from Mingquan County in Henan Province and Wugong County in Shaanxi Province for the periods of 1949-1999.The simulation results showed that an accuracy of 81.6% and 88.6% had be respectively achieved for the two counties in the prediction of wheat yields for the year of 2000.It was indicated that the model was applicable to predict the crop yield.

Key words: Relative meteorological yield, Relative meteorological yield, Markov Model, Probability distribution, Grain crop yield