Abstract:Analyzing maize growth differences is a critical approach for evaluating the impacts of varied tillage practices on crop development. Taking Moqi experimental zone as study area, the crop residue cover during the bare-soil period was firstly retrieved based on Sentinel-2 remote sensing parameters, and accordingly the fields were classified into three tillage types: no-till, reduced-till, and conventional tillage. During key maize growth stages (jointing, tasseling, and milk stages), six biophysical indicators, i.e., leaf area index (LAI), fractional vegetation cover (FVC), above-ground biomass (AGB), plant nitrogen content (PNC), chlorophyll a/b (CAB), and canopy water content (CWC) were retrieved. A comprehensive growth index (CGI) was constructed by using the coefficient of variation method. Subsequently, spatial patterns, mean values, and average change rates were analyzed to compare maize growth performance across tillage types. Results showed that CGI was relatively low at the jointing stage (mean: 0.101), peaked at the tasseling stage (mean: 0.435), and slightly declined at the milk stage (mean: 0.394), exhibiting a trend of initial increase followed by a gradual decrease, with pronounced spatial heterogeneity among plots. Under different tillage regimes, maize growth exhibited a stage-dependent pattern characterized by "conventional tillage dominance in the early stage and no-till dominance in the later stage." From jointing to tasseling, conventional tillage showed the greatest increment (0.365) and a higher change rate (0.010) than no-till (0.009), mainly attributed to the higher contributions of LAI and CWC. From tasseling to milk stage, no-till presented the smallest decline (0.038) with a change rate of 0, markedly outperforming reduced-till (-0.001) and conventional tillage (-0.002), which was primarily due to the suppressing effect of CAB on growth deterioration. These findings revealed a distinct phased differentiation pattern: conventional tillage drived stronger early-stage growth, whereas no-till exhibited superior stability in maintaining growth during the later stage. The research result can provide key growth parameters and scientific evidence for smart decision-making in maize cultivation and precision field management, which can support the quantitative assessment of conservation tillage effectiveness at regional scale.