## 3 Results
\begin{table}
\begin{tabular}{l c c c} \hline \hline \multirow{2}{*}{**Treatment**} & **TOC** & **MOC** & **POC** \\ \cline{2-3}  & & **g kg\({}^{-1}\)** & \\ \hline \multicolumn{3}{c}{P\({}_{2}\)O\({}_{5}\) doses (kg ha\({}^{-1}\)) (P)} \\ \hline
0 & 13.8 & 8.3 & 5.4 \\
30 & 15.4 & 9.6 & 5.7 \\
60 & 14.9 & 8.2 & 6.7 \\
120 & 14.4 & 9.7 & 4.8 \\
240 & 16.2 & 9.6 & 6.6 \\ \hline \multicolumn{3}{c}{Inoculation (I)} \\ \hline Without & 15.2 a & 9.4 & 5.2 \\ With & 14.6 b & 8.5 & 6.2 \\ \hline Test\(-\)P & 0.000 \({}^{**}\) & 0.676 \({}^{\text{ns}}\) & 0.531 \({}^{\text{ns}}\) \\ Test\(-\)I & 0.026 \({}^{*}\) & 0.168 \({}^{\text{ns}}\) & 0.397 \({}^{\text{ns}}\) \\ Test\(-\)P \(\times\) I & 0.133 \({}^{\text{ns}}\) & 0.442 \({}^{\text{ns}}\) & 0.652 \({}^{\text{ns}}\) \\ \hline CV (\%) & 3.62 & 20.15 & 40.19 \\ \hline \hline \end{tabular}  
* Means followed by different letters in the column for different treatments differed by the LSD post-hoc test at the 5% probability level. \({}^{**}\) and \({}^{*}\): significant at 1% and 5% probability, respectively. ns: not significant. CV: coefficient of variation; POC: carbon stock particulate. MOC: carbon stock mineral; TOC: total organic carbon. Regression equation: TOC = 0.0069\({}^{**}\) + 14.318, R\({}^{2}\) = 0.5077.  
\end{table} 
Table 23: _Cont._For soil carbon storage in the 0.10-0.20 m layer (Table 25), a significant adjustment was observed for TOC and MOC due to phosphorus doses, following quadratic and linear trends, respectively, with higher contents in areas with the highest phosphorus dose. Regarding inoculation, significant differences were observed for MOC and POC, with higher values for both fractions in inoculated areas. Among the soil layers analyzed, it can be observed that for the MOC fraction levels, there was an increase with depth in the soil profile. Consequently, the TOC also showed the same behavior, while, for POC, a decrease in its levels with depth was observed. From the soil carbon (C) values, it was possible to estimate the soil organic matter content. Based on the premise that organic matter contained 58% organic carbon, the factor 1.724 was used for this conversion. Thus, from the results obtained in Tables 24 and 25, in addition to the carbon stock (POC, MOC, and TOC), it was also possible to estimate the quantity of particulate organic matter (POM), which corresponded to organic matter associated with the soil's sand fraction; mineral organic matter (MOM), associated with the silt and clay fraction; and total organic matter (TOM), which corresponded to the sum of POM and MOM, by multiplying the values by the factor 1.724. Since this was a fixed multiplication factor, the statistical significance results remained unchanged. In summary, this study demonstrated that inoculation reduced nutrient input in soil layers and did not result in differences in the dry matter production of Paiaguas grass or soybean grain yield but increased the grain and dry matter yield of the panicle in sorghum intercropped with Piata grass, which, in turn, had its dry matter production reduced in inoculated areas, where lower levels of labile phosphorus were also observed in the soil. Similarly, for the activities of arylsulfatase and \(\beta\)-glucosidase enzymes, as well as for biological attributes such as microbial respiratory activity and the metabolic quotient, inoculation resulted in lower total dry matter production during the course of this study.