Wheat is one of the important commodities in world households’ consumption model and often used as a political tool in international relationships resulting in imposition of political pressure. In importing nations, in light of these pressures increasing these yields is necessary. This paper attempts to identify various bio-factors influencing yield of Wheat in four provinces of Iran: West Azarbayjan, Hamedan, Zanjan and Kurdistan. This study used a spatial regression model to determine the effect of various factors on wheat yield. Results showed that Durbin spatial regression model has a higher power of explaining variability in wheat yield than any other models. Results suggested that crop soil depth, moisture in field and phosphorous level had positive effect and soil erosion and soil potassium and nitrogen has a negative effect on yield of wheat in these regions. This study concluded that future regional studies estimating production function of wheat should use the spatial models.

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