Integrating Field Data and a Modeling Approach to Inform Optimum Planting Date × Maturity Group for Soybeans under Current and Future Weather Conditions in Kansas

Optimizing planting date by maturity group (PD × MG) is critical to increase productivity and reduce production risks. Understanding the effect of management, not only under current, but also future weather conditions, even more relevant for developing effective mitigation strategies. This paper provides an analysis optimum combinations soybean PD MG management in central-eastern region Kansas (United States) both current conditions. Three geographical clusters illustrating main environmental characteristics were defined within Kansas. The Agricultural Production Systems Simulator platform was employed explore from mid-April mid-July; III VI) comparing (2011–2021) (2042–2052) Overall, early dates produce greater yields, their stability over time (with a 15% yield variation relative late planting) across clusters. Late resulted reduction close 27% yields those obtained at Furthermore, longer groups (IV, V, reduced penalty when delayed However, this combination did always represent strategy that maximized yields.