Fertilizer And Fuzzy-G Model

It is well known that phosphorus is a major growth limiting plant nutrient for completion of plant life cycle. The exogenous application of P as chemical fertilizer has been found indispensable for the maximized crop yields but continuously increasing cost and non-availability of phosphatic fertilizer is a great barrier to farmers. It is comprehensively reported that most of the soils are sufficient in total P content but the major constraint is the availability of P to plants because it forms insoluble complexes with Ca, Fe and Al [36]. So, present situation necessitates the development of such strategies which convert insoluble/precipitated phosphorus into bioavailable forms for plants. One of such possible strategies is the use of specific …show more content…
With that objective, Fuzzy-GA approaches are employed in prediction modeling of P solubilization using environmental factors and other parameters. Both types of Fuzzy-GA models result in an effective prediction of P solubilization as shown in the Fig. 4. Though the performance of Mogul approach based Fuzzy-GA model is better than the Thrift approach based Fuzzy-GA model which is obvious from the visual representation in Fig. 4 (a) compared with Fig. 4 (b). Further, computed values of RMSE and correlation coefficient for two Fuzzy-GA methods confirm the better performance of Fuzzy-GA-I compared to the Fuzzy-GA-II. In case of Fuzzy-GA-I, the best prediction is achieved for the P solubilization = 5.95 (error =0) and input parameters: number of days = 6, temperature = 25, pH = 6, glucose = 0, ammonium sulphate = 0.1, malic acid = 0.1, and SSP = 0.25. Though maximum error = 29.7 is obtained for the P solubilization = 45.95 (input parameters number of days = 12, temperature = 25, pH = 6, glucose = 0, ammonium sulphate = 0.1, malic acid = 0.1, and SSP = …show more content…
In the present study, eighteen isolates of bacteria were isolated using rock phosphate as a sole p source, from the collected soil sample and screened for their potential to solubilize inorganic phosphate. Out of this isolate (MZ10) showed maximum insoluble rock phosphate solubilizing potential which was selected and used for subsequent studies. Inoculation of selected isolate has improved maximum 124% solubilization of inorganic P. Hybrid Fuzzy-GA methods were used to predict the P solubilization values in sandy clay loam textured soil using the environmental and nutritional parameters. The Mogul approach based Fuzzy-GA method has the higher efficiency of prediction compared to the Thrift approach based Fuzzy-GA method. The former method pursuits the best combination of environmental and nutritional parameters for which the measured and predicted P solubilization values are similar (0% error). The Thrift approach based Fuzzy-GA method can be used in the future application for the P solubilization prediction of different textured soils and exploring the optimal set of environmental and nutritional parameters resulting microbial rock phosphate