To study the relationship between rice leaf color change and grain filling, two indica-japonica hybrids with distinct leaf colors were grown under three N fertilizer dosages (LN, 0 kg ha⁻¹; MN, 150 kg ha⁻¹; HN, 300 kg ha⁻¹). The leaf color change features of flag leaf, 2nd leaf and 3rd leaf, as well as grain filling traits of superior and inferior grains were compared. Compared to cultivar CY167 (normal green leaves) under the same N level, cultivar CY927 (dark green leaves) exhibited delayed leaf color change onset time (T₀) by 0–3.6 d, reduced mean leaf color change rate (R_m) by 1.98%–9.45%, and increased leaf color index at maturity (CI_f) by 3.77%–53.48%. Additionally, CY927 prolonged the grain filling period (D) of inferior grains by 0.6–2.0 d, resulting in a yield increase of 8.13%–25.46%. N supply significantly increased rice yield, primarily by delaying T₀ and reducing R_m of flag leaf, improving initial grain filling potential (R₀) and maximum grain weight (A), delaying the time to reach the maximum grain filling rate (T_max), and prolonging the grain filling activity period (D) of inferior grains. The time interval (T_L-G) between the T₀ of the flag leaf and T_max of inferior grains was negatively correlated with yield (−0.780, P < 0.01). Suggesting that rice yield can be improved by optimizing N fertilizer management to shorten the T_L-G. These findings provide valuable knowledge about the relationship between leaf senescence and grain filling, and benefit the understanding of the physiological mechanisms underlying high-yield rice production.

The change in leaf color during the later reproductive period of rice is directly related to photoassimilate accumulation and nutrient reuse, and it ultimately affects grain filling and yield. This study aimed to explore an assessment model that depicts the leaf color change process, and extract parameters that can precisely distinguish differences in leaf color changes among different treatments and varieties. A total of 31 rice varieties were selected as the field experiment materials in 2019 and 2023. The SPAD values of the flag, 2nd and 3rd leaves were measured after heading, and they were normalized to the leaf color index (CI). A functional model for the variation of leaf CI with time (t) in the late reproductive stage of rice was established based on CI=at²+bt+c, and seven color change parameters were extracted for the quantitative comparison and assessment of leaf color changes, including three time related parameters for color change (onset time, T₀; midpoint time, T₅₀; and color change duration, T₁₀₀); one leaf color index (final value of CI, CI_f); and three parameters related to the color change rate (the rate during T₀−T₅₀, R₁; the rate during T₅₀−T₁₀₀, R₂; and the mean color change rate, R_m). In 2023, Chunyou 927 (CY927) with a dark leaf color and Yongyou 1540 (YY1540) with a normal leaf color were used as materials, and three N fertilizer amounts were applied to explore the effects of N fertilizer on the leaf color change process through the established assessment system. The T₀ of the flag leaf was delayed by 2.6−3.0 d compared to the 2nd and 3rd leaves. The CI_f of the flag leaf was 12.12 and 21.15% higher than those of 2nd and 3rd leaves, respectively. In addition, the R₁, R₂ and R_m of the 3rd leaf were 10.75–19.82%, 17.99–20.09% and 18.23–11.61% higher than the flag and 2nd leaves, respectively. Rice yield was significantly positively correlated with T₀, positively correlated with T₅₀ and T₁₀₀, and negatively correlated with R₁, R₂ and R_m. The average T₀, T₅₀, and T₁₀₀ of rice varieties with yields higher than 8,000 kg ha⁻¹ were 6.8, 22.2, and 31.8 d, respectively, with a CI_f of 0.563 and an R_m of 0.015 d^–1. N applications delayed T₀ by 4.5–6.2 d, reduced R_m by 30.06–32.33%, and increased CI_f by 35.78–39.69%. The established leaf color change model and extracted parameters quantitatively depicted the leaf color change process during the later reproductive period. They also effectively distinguished the differences in leaf color change among leaf positions, rice varieties and N treatments. This approach is valuable for selecting and cultivating high-yield and nutrient-efficient rice varieties, as well as for analyzing the underlying mechanisms.