Sustainable agriculture largely depends on soil quality (SQ). The evaluation of agricultural soil quality is essential for economic success and environmental stability in rapidly developing regions. A wide variety of methods are currently used to evaluate soil quality using vastly different indicators. <br><br> This study was conducted in one of the most important irrigated agriculture areas of Konya in central Anatolia, Turkey, to analyze the soil quality indicators of Çumra County in combination with an indicator selection method, the minimum data set (MDS). A total of 38 soil parameters were used to select the most suitable indicators with the MDS method. We therefore determined a minimum data set with principle component analysis (PCA) to assess soil quality in the study area and soil quality was evaluated on the basis of a scoring function. <br><br> Among other soil properties, physical properties, such as field capacity (FC<sub>33</sub>), bulk density (Pb), aggregate stability (AS) and permanent wilting point (WP); chemical properties, such as electrical conductivity (EC), Mn, total nitrogen (TN), available phosphorus (AP), pH and NO<sub>3</sub>-N; and biological properties, such as urease enzyme activity (UA), root health value (RHV), organic carbon (OC), respiration (R) and potentially mineralized nitrogen (PMN) were chosen as an MDS to assess soil quality in the area. According the results this properties were found as the most sensitive indicators of soil quality and they can be used as indicators for evaluating and monitoring soil quality at a regional scale.