Fuzzy-genetic approaches for estimation of microbial rock phosphate solubilization in sandy clay loam textured soil

Soils are often rich in insoluble mineral and organic phosphates solubilized by specific bacterial species. The present study investigates the factors affecting microbial solubilization of phosphate in the sandy clay loam textured soil. Phosphate solubilization was measured using pot soil experiment spiked with rock phosphate and inoculated with phosphate solubilizing microorganism. The Mogul and Thrift fuzzy-genetic algorithm (GA) approaches have been implemented in order to estimate the solubilization of phosphate using the experimental parameters, including incubation period, temperature, pH of the soil, and concentration of glucose, ammonium sulfate, malic acid and single super phosphate (SSP). The estimation performance of fuzzy-GA approaches has been evaluated on the basis of root mean square error (RMSE), the coefficient of determination (R2) and correlation (ρ). The Mogul based fuzzy-GA approach results in the minimum value of RMSE 7.66, and the maximum values of correlation coefficient 0.72 and coefficient of determination 0.51 in between the predicted and original values of phosphate solubilization.