Crop yield variations in the Orinoquia region are mostly related to extreme precipitation events. Therefore, studying the water supply for crops under natural climate variability conditions is fundamental under actual climatic change context. A set of rainfall data collected in the Quenane basin was analyzed to understand the soil water dynamic in the Orinoco catchment. The basin has 179 km2, it is in the piedmont landscape (Eastern Mountain Range) of the Villavicencio Municipality ¿ Department of Meta. This study aims to analyze the rainfall variability using Pearson correlation analysis, the Mann Kendall trend analysis, and soil water balance to determine the implications of these variations in the crop's performance at the basin scale. The results showed that the spatial distribution of rainfall in the basin responds to a longitudinal average variation of precipitation, this behavior is more accentuated (high rainfall) toward the west of the basin. Despite being a basin located in the tropical zone, not evidence was found about the effect of El Niño Southern Oscillation (ENSO) on the rainy patterns. The temporal analysis showed some years with extreme rainfall values and high level of uncertainty during the transition between wet and dry periods. During the transition periods, there are more possibilities of affect farms yields because the variability in rainfall accumulation observed during the last years. The time series trend analysis showed a change in rainfall nature at different scales (weekly and yearly), distribution based on the decrease of rainy days per week and year. This trend is much more accentuated in the second semester of the year, generating uncertainty and reducing farm yields throughout the basin.