The goal of this paper is to increase the capacity of the agriculture sector to understand and respond to the climate variability, by reducing the uncertainty of the farmers over decisions that are affected for meteorological conditions. To study the yield responses to meteorological variables in the past is crucial to understand the vulnerability of the agriculture to the climate change in the future. We have estimated regression models where the historical yields have been put in dependence of variables that can represent main drivers of global change, such as climate variables and technological ones. In this context we evaluate its influence over the yields. Among the conclusions we find that the adaptation to climate change requires challenges in which practises of cropping respects, such as the need of a better irrigation managing.