| Summary: | As the global population grows, the demand for food increases and puts a strain on food production systems and agricultural productivity, causing soil degradation. Soil quality indexes (SQIs) have been developed to maintain and improve soil quality. However, due to the variety of soils and SQIs, analyzing and comparing results has historically been difficult. Therefore, in this study, we carried out a systematic review with meta-analysis focused on soil quality studies of agricultural soils under intensive agriculture using the unified weighted additive SQI methodology (SQI<sub>U</sub>). Sixty-five observations of agricultural soil quality were analyzed. Chemical indicators were the most prevalent in the SQI<sub>U</sub>s, followed by physical and biological indicators. Conventional soil management had negative effects on soil quality (–7.55%). From the factors analyzed, the minimum database had a significant effect on the soil quality results, but not the number of indicators that made up the SQI<sub>U</sub>. The SQI<sub>U</sub> made up of chemical–biological indicators (CB) presented negatively overestimated measurements of soil quality (–32.53%), exaggerating the degradation of the analyzed soils. The indicators that correlated most strongly with the size of the effect on agricultural soil quality were the cation exchange capacity (CEC) and microbial biomass carbon (MBC). The SQI<sub>U</sub> is a feasible tool to interpret the quality of agricultural soils around the world, as it makes it possible to obtain a simple and generalized view of soil conditions.
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