Soil quality is the capacity of soil to function, and change due to management and land use. Soil quality can not be measured directly. It is required indicators physic, chemistry, and biology, that together called the minimum data set (MDS) provide a comprehensive measurement of soil quality. There are many methods to determine the soil quality indicators. The research aimed to identify the soil quality factors; to select soil attributes of soil quality factors by multivariate analysis, principle factor analysis (PFA). Panyipatan Subdistrict Tanah Laut Regency South Kalimantan Province was determined used purposive stratified sampling procedure. Based on the principles of sustainable agriculture, 3 varieties of corn, Kima, Sukmaraga, and Bisi-2 was grown in 3 environments: Typic Hapludox, Plinthic Kandiudult, and Plinthic Hapludox using completely randomized block design, each group consisted of 3 replications. Soil quality factors were identified using appropriate statistical procedures of data reduction using MANOVA and ANOVA on 17 soil variables and PFA on the 11 variables left. The research revealed that soil quality factors of Panyipatan District dryland corn were, 1) soil development factor with composition of P-total (%), bulk density (BD, g cm-3), available water capacity (AWC,%), soil organic carbon (SOC,%), 2) soil fertility factor, with composition of P-available (ppm), soil pH, and Ca-exch (cmol (+) kg-1), 3) soil fertility factor with the composition of K-exch (+) kg-1) and Mg-exch (+) kg-1), and 4) soil organic matter factor, ie organic compounds N (%).