Con la finalidad de proponer indicadores de calidad edafológicos para valorar la influencia de los sistemas productivos en algunas propiedades físicas y químicas en oxisoles del piedemonte llanero colombiano, se realizó un muestreo aleatorio (diseño completamente al azar) en 11 sistemas de uso, mediante cajuelas de observación de 40 cm2 por 50 cm de profundidad, describiendo 5 cajuelas morfológicamente por sistema productivo y tomando muestras sin disturbar para determinaciones físicas y disturbadas para determinaciones químicas. Con los datos físicos y químicos que resultaron del muestreo se elaboró una base de datos, la cual se trató estadísticamente con análisis descriptivo, para caracterizar los suelos de los diferentes sistemas productivos. Posteriormente se realizó un análisis de componentes principales para seleccionar los indicadores químicos y físicos. El ACP unido a un criterio técnico permitió seleccionar como indicadores: carbono orgánico, pH, acidez intercambiable, calcio intercambiable, magnesio intercambiable, hierro, saturación, capacidad de campo, punto de marchitez permanente, densidad aparente, estabilidad estructural, textura y resistencia a la penetración. Los anteriores indicadores fueron procesados con análisis de correlación y de varianza con prueba de Duncan a excepción del calcio y el magnesio. Los resultados sugieren que los sistemas productivos influyen en la calidad de los suelos a través de sus prácticas de manejo principalmente.//Abstract: In order to propose quality edaphic indicators to assess influence of production systems on some physical and chemical properties of Oxisols Piedmont llanero colombian, a random sampling was conducted (completely randomized design) in 11 systems of use, by observation trunks of 40 cm2 by 50 cm in depth, describing 5 trunks morphologically by production system and by taking undisturbed samples for physical determinations and disturbed ones for chemical determinations. A data base was elaborated from the physical and chemical data collected from sampling which was treated statistically using descriptive analysis to characterize the soils of different production systems. Subsequently, an analysis of the main components was selected in order to choose the physical and chemical indicators. PCA joined the technical criteria allowed to select as indicators: organic carbon, pH, exchangeable acidity, exchangeable calcium, exchangeable magnesium, iron, saturation, field capacity, permanent wilting point, apparent density, structural stability, texture and resistance to penetration. The above indicators were processed using correlation and analysis of variance with Duncan's test, except for calcium and magnesium. The results suggest that production systems influence soil quality through management practices mainly. In order to assess this influence with the indicators mentioned above a matrix was constructed from which chemical and physical indices were generated of soil quality by production system, where systems mulatto II pastures and seasonal crops presented high quality chemistry, but the lowest physical quality. The opposite happens with the palm30 and the degraded pasture. The indices indicate that the management practices implemented to improve soil chemical properties as to adapt it to the nutritional needs of the crop are likely leading to physical soil degradation.