Abstract
Soil plays a major role in determining the sustainable productivity of an agro-ecosystem. Crop production potential is greatly influenced by the soil characteristics such as pH, Electrical Conductivity (EC), Organic Carbon (OC), Nitrogen, Phosphorus and other nutrients. These characteristics are related to soil fertility and agricultural productivity of a particular place. The present study was conducted to statistically analyze the soil characteristics data of Mirzapur district. Distribution pattern of all soil characteristics are examined and Goodness of fit of the best fitted distributions is tested by Chi-Square test. pH, EC, OC and Boron are found to follow Dagum distribution whereas Potassium and Iron are found to follow Fatigue Life distribution. Moreover EC, Nitrogen, Phosphorus, Sulphur, Maganese and Zinc are found to follow General Extreme Value, Error, Pearson 5, Pearson 5 (3P), Pearson 6 and Inverse Gaussian (3P) distributions respectively. Descriptive measures (Mean, Standard deviation, Skewness and Kutosis) are also calculated to know the soil status of Mirzapur district.
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