A Simulation Study on Optimization of Sowing Time of Maize (Zea mays L.) for Maximization of Growth and Yield in the Present Context of Climate Change under the North China Plain

Adjusting the sowing dates of crops is an effective measure for adapting them to climate change, but very few studies have explained how optimum can be determined. In this study, we used date field data from 2018 2021 Hebei Gucheng Agricultural Meteorology National Observation and Research Station analyze effects on growth, development, yield maize, quantify impact light-temperature potential productivity different stages formation. The results showed that delayed decreased vegetative growth period (VGP) increased reproductive (RGP) maize. whole (WG) had exponential relationship with theoretical yield. At least 14,614.95 kg ha−1 was needed produce grain maximum approximately 18,052.56 ha−1, as indicated by curve simulation results. influence follows: VGP > RGP (VRP). Accordingly, a method determining time window based established, optimal were estimated 1995–2021 SSP2-4.5 scenario in CMIP6 middle century (2030–2060). maize “Lianyu 1” at study site 20–25 May 1995–2021. century, ahead schedule suitable slightly. We conclude advancing practical strategy enhancing context warming, will provide meaningful reference scientific optimization adapt change.