Climate change will affect agricultural production through changes in water supply, such that optimal irrigation management strategies gain importance. For the Marchfeld region, we firstly analyze with a stochastic dynamic programming approach the probability of investing into either a water-saving drip or a sprinkler irrigation system until 2040. Secondly, we develop optimal irrigation management portfolios for different degrees of risk aversion using climate data from a statistical model and the simulations for specific crops of the biophysical process model EPIC (Environmental Policy Integrated Climate). Investment in drip irrigation systems is not profitable. Sprinkler irrigation has a positive probability of being adopted for the production of sugar beets and carrots and therefore mostly shows a 100% share in the portfolio optimization