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 been historically 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 (SQIU). We analyzed 65 quality observations obtained from 22 studies. Chemical indicators were the most prevalent in the SQIUs, 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 SQIU. The SQIU made up of chemical-biological indicators (CB) presented negatively overestimated measurements of soil quality (–32.53%), exaggerating the damage to 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), carbon to nitrogen ratio (C/N), and microbial biomass carbon (MBC). The SQIU 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.

Michoacan state has a long history in plant domestication’s. Physalis ixocarpa is a native plant that growth associated to corn crops from this region. Such plants have similar fruits to Physalis philadelphica (husk tomate). Due to the domestication process includes the adaptation to environmental factors, we ask if 1) Does P. ixocarpa has the capacity of association with bacterial communities of the zone where it was domesticated?, and 2) Does the rhizobiome of this plant can increase the potential functions in the soil?. An experiment was established in a traditional milpa system. Samples of rhizobiome from corn, P. ixocarpa, P. philadelphica, and soil were sequenced using Next Generation Sequencing in the region 16S. The potential function, metabolic pathway reconstruction and participation of each bacteria genus was inferred using iVikodak platform. A total of 34 Phyla and 795 genera were identified. Purine metabolism's was the principal function, where all rizhobiomes showed similar metabolic pathways. However, the difference among plant species is the participation of the distinct genera in the purine metabolism. We conclude that rhizobiome of P. ixocarpa shows complementarity for the soil functions, and their utilization can be helpful in zones where the agricultural practices have degraded microbiological soil conditions.