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Soil is a non-renewable natural resource, considered as the basis for food production. Changes in soil properties may indicate potentially beneficial or degradative effects of a given management practice, so it is important to select the most sensitive soil properties to act as quality indicators. This research evaluated different approaches to selecting soil quality indicators in the construction of soil quality indices (SQIs). The sensitivity of integrative SQIs, constructed by considering diverse chemical, physical, and biological properties, was compared with biological SQIs, using only biochemical and microbiological indicators, to assess soil quality in an intensive horticultural production system under short- and long-term organic and conventional management. The results provided by the SQIs showed that plots under organic management had increase soil quality compared with the conventionally managed plots, independent of the number of years under production. The SQIs integrated by physical, chemical and biological indicators were more sensitive than indices composed only of biological indicators, as they did not reflect the physical properties of the studied plots. The organic amendments had a great influence on the microbial community; therefore, microbiological indices could not provide reliable information on soil quality in production systems with high inputs of organic materials. Additional keywords: catabolic response profiles, phospholipid fatty acid profiles., Introduction The growing global demand for food must be accompanied by minimal degradation of soil quality; this is a significant challenge for both agricultural and environmental sciences. Intensive horticultural production [...]

The study evaluates and compares two procedures for selecting soil quality indicators (used for the construction of soil quality indices, SQI) by using diverse chemical, physical, and biological properties, and evaluates the role of soil microbiological properties in the construction of SQI. Different soil environments were selected from an extensive agricultural production site in the rolling pampa, Buenos Aires, Argentina. The plots included an undisturbed soil, a grassland soil, and continuous tilled soils with four different surface horizon depths (25, 23, 19, and 14 cm). Various properties were measured, and a minimum dataset was chosen by principal component analysis (PCA) considering all measured soil properties together (procedure A), or the PCA was performed separately according to classification as physical, chemical, or biological soil properties (procedure B). The measured soil properties involved physical, chemical, and biochemical properties determined by standard protocols used in routine laboratory analysis (simple SQI, SSQI) or more laborious protocols to determine microbial community structure and function by phospholipid fatty acid (PLFA) and catabolic response profile (CRP), respectively (complex SQI, CSQ1). The selected properties werc linearly normalised and integrated by the weight additive method to calculate SSQ1 A, SSQI B, CSQI A, and CSQI B indices. Two microbiological SQI (MSQ1) were also calculated; MSQI 1 considered only biological properties according to the procedure used for calculating SQ1; MSQI 2 was calculated by considering three selected microbiological parameters representing the size (microbial biomass carbon), activity (soil basal respiration), and functional diversity (evenness, determined by CRP) of the microbial communities.All of the constructed indices show the same differences among the study sites. The inclusion of CRP and PLFA data in the indices slightly increased, or did not increase, the index sensitivity. Microbiological indices had the same sensitivity as the indices integrated by physical, chemical, and biological properties. An evaluation of the SQI constructed by both procedures found no difference in sensitivity. However, SQI constructed by procedure B allowed evaluation of the effects of management practices on physical, chemical, and biological soil properties.Additional keywords: biological indicators, chemical indicators, physical indicators, soil quality, soil quality indices., IntroductionSoil quality assessment is needed to evaluate soil conditions and the sustainability of soil and crop management practices. Evaluation of soil quality requires identification and measurement of specific parameters or [...]