Introduction Traditional plant stomatal conductance (g sw ) models have limited applicability. An urgent need exists to develop a g sw model suitable for cotton grown under drip irrigation in Changji, Xinjiang, and to investigate the mechanisms underlying the effects of irrigation variations on leaf g sw . Method This 2-year field study selected three g sw models (Ball–Woodrow–Berry BWB, Ball–Berry–Leuning BBL, and unified stomatal optimization USO) and three optimization factors (water potential response function fθ), leaf temperature difference ΔT, and temperature response function fT) to optimize, refine, and validate the most suitable g sw model for cotton grown under plastic film drip irrigation. Results Results revealed that the USO model exhibited the highest simulation accuracy, followed by the BBL and BWB models. Among the three models, the USO model incorporating ΔT, f(θ), and f(T) was the most accurate improved model. Compared to the BBL and BWB models, its 2-year R ² values increased by 3.77%–49.75% and 1.94%–55.98%, respectively, 0.35%–38.10%, and 8.99%–45.21%, respectively. Furthermore, treatments with higher lower irrigation limits (F2B2 and F2B3) exhibited superior simulation accuracy compared to other irrigation deficit treatments, making them more suitable for the application of the improved model. Discussion Overall, accurate estimation of g sw requires the model to account for f(θ), ΔT, and f(T). Under conditions where soil moisture is maintained at 70% of field capacity, this improved model shows more precise simulation results. For cotton in the study region, the USO model incorporating ΔTf(θ)f(T) is recommended for simulating g sw .
Qi et al. (Mon,) studied this question.