Late watergrass is a competitive weed of rice that is well-adapted to both aerobic and anaerobic environments. Cultural controls such as a stale-seedbed and alternating from wet- to dry-seeding have been proposed as management options. However, the effects of these systems on its emergence and early growth are unknown. The objective of this study was to modify a previously-developed population-based threshold model (PBTM) to predict emergence and early growth under field conditions. In 2013, a series of experiments were conducted at the California Rice Experiment Station (CRES) in Biggs, CA to evaluate emergence and early growth of multiple-herbicide resistant and susceptible late watergrass at four burial depths (0.5, 2, 4, and 6 cm) under three irrigation regimes: Continuously Flooded (CF), Daily Flush (DF) and Intermittent Flush (IF). Resistant plants emerged at a significantly higher rate under the IF treatment (p < 0.05). Both biotypes showed decreasing emergence with increasing depth, and no plants emerged from the 4 or 6 cm depths in the CF treatment. Using the Gompertz growth curve, resistant plants had greater predicted growth rates (k), lower predicted maximum heights (h
max
), and a shorter time to predicted maximum growth rate (t
m
) than susceptible plants under the CF and DF treatments. Under the IF treatment, the susceptible plants had greater k, lower h
max
and shorter time to predicted t
m
. Information about burial depth and irrigation was incorporated into a previously-developed PBTM for late watergrass, and validated at the CRES in a field with a susceptible late watergrass population in 2013 and 2014, under two irrigation systems, CF and IF. Model fit was best in the CF treatments (average AIC = 199.05) compared to the IF treatments (average AIC = 208.6).