A novel platform for modelling and simulation of seedling emergence under various sowing depths and water regimes in direct-seeded rice
Kato, Yoichiro
Direct-seeding of rice by sowing dry seeds on dry soils often results in poor seedling emergence due to erratic rainfall. Adjusting the sowing depth to a given rainfall pattern may improve rice emergence. To assess risks of crop failure in direct-seeded rice, we developed a platform for modelling and simulation of rice emergence at different sowing depths. We combined the HYDRUS-1D soil simulation model, which simulates the surface soil’s moisture dynamics, with two rice emergence models recentl