Abstract: Using orthogonal polynomials to simulate the actual production series of spring peanut in Huazhou, Maoming. Separate time trend yield and climate yield. An integral regression analysis is made between the average climate yield of spring peanut and average temperature, sunshine hours and precipitation in each biological period of peanut growth period. And we come to the conclusions: The average temperature has a positive effect on spring peanut production in the early stage of sowing and the mature stage of pods, especially in June. It has a negative effect in seeding stage, flowering and podding stage. The positive effect of sunshine hours is obvious in the first ten days of February. And it has negative effect in seeding stage, the early stage of flowering and pod setting. The negative effect of precipitation in the late stage of flowering and pod setting.