Research related to better understanding the variability of soybeans yield in no-till soils associated with soil pH, soil aluminum and organic matter is necessary to improve lime recommendations to crops. There is no field scale studies that investigated this relationships in western ND. Twenty soybeans fields will be used for this study. Fields will be selected across several counties in western North Dakota with the following characteristics: the fields must be under no-till at least for 10 years; fields must have both a low pH soil and adequate or high soil pH within field. In addition, crop yield map from previous years would be asked, but it will be not required; history of the field in the past 5 years. After the field selection, soil sampling in each area (low and adequate soil pH) will be performed. Soil samples will be taken in three soil depth: at 0-3, 3-6, and 0-6 inches to screen the areas for soil pH. After the screen,an area of 10 ft2 will be defined to quantify soybean yield. At the time of harvest, the defined area will be harvested by hand from 2ft segments of two adjacent rows in fields where soybean was planted using row spacing of 30 inches and from four adjacent rows in fields where row spacing was 15 inches or less. The plant population will be recorded at the time of harvest as well. The plants will be cut 1 inch above the ground, placed in a bag to be dried at 60°C for at least 48 h, and threshed. Grain yield will be expressed as yield per unit area and as relative yield for each field by dividing the yield from each sampling area by the largest yield observed in a field and multiplying the result by 100. Use of relative yield will enable us to pool data from all sites to study relationships between yield and the measured soil properties across sites. Test weight, oil content and protein will be evaluated in each soybean sample. Immediately after harvest, soil samples will be taken in three soil depth (o-3, 3-6, and 0-6 inches). The soil samples will be analyzed for soil pH, extractable aluminum, calcium, magnesium and sodium, soil organic matter and soil carbon. Aluminum saturation will be also calculated to better understand the impact of aluminum saturation of soybean yield. Soil salts and carbonate content will also be analyzed. Relationship among the soil acidity parameters will be carried out to investigate the variability among them. Relationships between relative grain yield and soil pH, soil aluminum and aluminum saturation in each soil depth will be performed by correlation and regression analyses using the SAS statistical package.