
Rice Science ›› 2026, Vol. 33 ›› Issue (1): 113-128.DOI: 10.1016/j.rsci.2025.10.004
• Research Papers • Previous Articles Next Articles
Zhang Haipeng, Mi Kailiang, Chen Ting, Zhang Muyan, Xu Fangfu, Zhang Hongcheng(
)
Received:2025-06-27
Accepted:2025-09-01
Online:2026-01-28
Published:2026-02-03
Contact:
Zhang Hongcheng (About author:First author contact:# These authors contributed equally to this work
Zhang Haipeng, Mi Kailiang, Chen Ting, Zhang Muyan, Xu Fangfu, Zhang Hongcheng. Enlarged Sink Capacity and Optimized Population Physiological Characteristics are Key to High Yield in Conventional Japonica Rice[J]. Rice Science, 2026, 33(1): 113-128.
Add to citation manager EndNote|Ris|BibTeX
| Year | Variety | Treatment | No. of panicles per hm2 (×104) | Total spikelet number per m2 | Seed-setting rate (%) | 1000-grain weight (g) | Yield (t/hm2) |
|---|---|---|---|---|---|---|---|
| 2023 | Ningxiangjing 9 | D1 | 286.11 ± 3.54 d | 52 321.5 ± 864.6 c | 84.87 ± 0.73 a | 24.50 ± 0.20 a | 10.73 ± 0.09 c |
| D2 | 305.55 ± 2.97 c | 55 633.4 ± 355.2 b | 84.70 ± 1.01 a | 24.44 ± 0.29 a | 11.36 ± 0.13 b | ||
| D3 | 322.22 ± 6.00 b | 58 193.5 ± 791.1 a | 84.11 ± 0.09 a | 24.33 ± 0.31 a | 11.68 ± 0.12 a | ||
| D4 | 334.44 ± 6.85 a | 59 666.2 ± 697.9 a | 83.82 ± 0.93 a | 24.17 ± 0.15 a | 11.91 ± 0.06 a | ||
| Mean | 312.08 | 56 453.6 | 84.37 | 24.36 | 11.42 | ||
| Songxiangjing 1018 | D1 | 281.95 ± 2.60 d | 48 225.5 ± 411.3 d | 88.39 ± 0.52 a | 27.91 ± 0.11 a | 11.72 ± 0.04 c | |
| D2 | 296.83 ± 2.97 c | 50 144.7 ± 309.6 c | 88.13 ± 0.24 a | 27.84 ± 0.08 a | 12.20 ± 0.06 b | ||
| D3 | 318.52 ± 3.46 b | 52 748.0 ± 238.0 b | 87.67 ± 0.28 a | 27.76 ± 0.17 a | 12.58 ± 0.18 a | ||
| D4 | 332.22 ± 5.66 a | 54 099.7 ± 498.9 a | 87.36 ± 0.58 a | 27.63 ± 0.26 a | 12.76 ± 0.09 a | ||
| Mean | 307.38 | 51 304.5 | 87.89 | 27.79 | 12.31 | ||
| 2024 | Ningxiangjing 9 | D1 | 301.39 ± 2.60 d | 52 931.9 ± 442.5 d | 84.74 ± 0.35 a | 24.32 ± 0.02 a | 10.62 ± 0.01 d |
| D2 | 317.46 ± 2.97 c | 55 003.9 ± 542.1 c | 84.61 ± 0.20 a | 24.25 ± 0.04 b | 11.07 ± 0.02 c | ||
| D3 | 335.19 ± 3.46 b | 57 330.3 ± 586.1 b | 84.23 ± 0.21 a | 24.20 ± 0.03 bc | 11.44 ± 0.04 b | ||
| D4 | 355.56 ± 4.16 a | 59 580.6 ± 1 251.1 a | 83.66 ± 1.19 a | 24.15 ± 0.03 c | 11.70 ± 0.09 a | ||
| Mean | 327.40 | 56 211.7 | 84.31 | 24.23 | 11.21 | ||
| Songxiangjing 1018 | D1 | 283.33 ± 1.70 d | 46 997.6 ± 207.7 d | 87.62 ± 0.31 a | 27.71 ± 0.02 a | 11.23 ± 0.09 d | |
| D2 | 300.00 ± 1.94 c | 48 918.2 ± 226.6 c | 87.44 ± 0.20 a | 27.67 ± 0.01 ab | 11.71 ± 0.06 c | ||
| D3 | 321.30 ± 4.72 b | 51 559.4 ± 757.8 b | 87.17 ± 0.17 a | 27.64 ± 0.02 b | 12.21 ± 0.08 b | ||
| D4 | 341.11 ± 6.85 a | 54 048.7 ± 1 132.4 a | 86.53 ± 0.17 b | 27.59 ± 0.03 c | 12.62 ± 0.04 a | ||
| Mean | 311.44 | 50 381.0 | 87.19 | 27.65 | 11.94 | ||
| Year (Y) | ** | NS | NS | NS | ** | ||
| Variety (V) | ** | ** | ** | ** | ** | ||
| Treatment (T) | ** | ** | ** | NS | ** | ||
| Y × V | ** | NS | NS | NS | NS | ||
| Y × T | NS | NS | NS | NS | NS | ||
| V × T | NS | NS | NS | NS | NS | ||
| Y × V × T | NS | NS | NS | NS | NS | ||
Table 1. Effects of planting density on yield and yield components of japonica rice.
| Year | Variety | Treatment | No. of panicles per hm2 (×104) | Total spikelet number per m2 | Seed-setting rate (%) | 1000-grain weight (g) | Yield (t/hm2) |
|---|---|---|---|---|---|---|---|
| 2023 | Ningxiangjing 9 | D1 | 286.11 ± 3.54 d | 52 321.5 ± 864.6 c | 84.87 ± 0.73 a | 24.50 ± 0.20 a | 10.73 ± 0.09 c |
| D2 | 305.55 ± 2.97 c | 55 633.4 ± 355.2 b | 84.70 ± 1.01 a | 24.44 ± 0.29 a | 11.36 ± 0.13 b | ||
| D3 | 322.22 ± 6.00 b | 58 193.5 ± 791.1 a | 84.11 ± 0.09 a | 24.33 ± 0.31 a | 11.68 ± 0.12 a | ||
| D4 | 334.44 ± 6.85 a | 59 666.2 ± 697.9 a | 83.82 ± 0.93 a | 24.17 ± 0.15 a | 11.91 ± 0.06 a | ||
| Mean | 312.08 | 56 453.6 | 84.37 | 24.36 | 11.42 | ||
| Songxiangjing 1018 | D1 | 281.95 ± 2.60 d | 48 225.5 ± 411.3 d | 88.39 ± 0.52 a | 27.91 ± 0.11 a | 11.72 ± 0.04 c | |
| D2 | 296.83 ± 2.97 c | 50 144.7 ± 309.6 c | 88.13 ± 0.24 a | 27.84 ± 0.08 a | 12.20 ± 0.06 b | ||
| D3 | 318.52 ± 3.46 b | 52 748.0 ± 238.0 b | 87.67 ± 0.28 a | 27.76 ± 0.17 a | 12.58 ± 0.18 a | ||
| D4 | 332.22 ± 5.66 a | 54 099.7 ± 498.9 a | 87.36 ± 0.58 a | 27.63 ± 0.26 a | 12.76 ± 0.09 a | ||
| Mean | 307.38 | 51 304.5 | 87.89 | 27.79 | 12.31 | ||
| 2024 | Ningxiangjing 9 | D1 | 301.39 ± 2.60 d | 52 931.9 ± 442.5 d | 84.74 ± 0.35 a | 24.32 ± 0.02 a | 10.62 ± 0.01 d |
| D2 | 317.46 ± 2.97 c | 55 003.9 ± 542.1 c | 84.61 ± 0.20 a | 24.25 ± 0.04 b | 11.07 ± 0.02 c | ||
| D3 | 335.19 ± 3.46 b | 57 330.3 ± 586.1 b | 84.23 ± 0.21 a | 24.20 ± 0.03 bc | 11.44 ± 0.04 b | ||
| D4 | 355.56 ± 4.16 a | 59 580.6 ± 1 251.1 a | 83.66 ± 1.19 a | 24.15 ± 0.03 c | 11.70 ± 0.09 a | ||
| Mean | 327.40 | 56 211.7 | 84.31 | 24.23 | 11.21 | ||
| Songxiangjing 1018 | D1 | 283.33 ± 1.70 d | 46 997.6 ± 207.7 d | 87.62 ± 0.31 a | 27.71 ± 0.02 a | 11.23 ± 0.09 d | |
| D2 | 300.00 ± 1.94 c | 48 918.2 ± 226.6 c | 87.44 ± 0.20 a | 27.67 ± 0.01 ab | 11.71 ± 0.06 c | ||
| D3 | 321.30 ± 4.72 b | 51 559.4 ± 757.8 b | 87.17 ± 0.17 a | 27.64 ± 0.02 b | 12.21 ± 0.08 b | ||
| D4 | 341.11 ± 6.85 a | 54 048.7 ± 1 132.4 a | 86.53 ± 0.17 b | 27.59 ± 0.03 c | 12.62 ± 0.04 a | ||
| Mean | 311.44 | 50 381.0 | 87.19 | 27.65 | 11.94 | ||
| Year (Y) | ** | NS | NS | NS | ** | ||
| Variety (V) | ** | ** | ** | ** | ** | ||
| Treatment (T) | ** | ** | ** | NS | ** | ||
| Y × V | ** | NS | NS | NS | NS | ||
| Y × T | NS | NS | NS | NS | NS | ||
| V × T | NS | NS | NS | NS | NS | ||
| Y × V × T | NS | NS | NS | NS | NS | ||
| Year | Variety | Treatment | Dry matter (t/hm2) | Harvest index (%) | ||
|---|---|---|---|---|---|---|
| Jointing stage | Heading stage | Maturity stage | ||||
| 2023 | Ningxiangjing 9 | D1 | 4.32 ± 0.03 b | 13.64 ± 0.18 c | 20.92 ± 0.10 d | 50.94 ± 0.69 a |
| D2 | 4.67 ± 0.07 ab | 14.35 ± 0.18 b | 22.20 ± 0.32 c | 50.79 ± 0.20 a | ||
| D3 | 4.90 ± 0.03 a | 14.76 ± 0.29 ab | 22.99 ± 0.32 b | 50.46 ± 1.20 a | ||
| D4 | 5.09 ± 0.37 a | 15.15 ± 0.25 a | 23.64 ± 0.04 a | 49.91 ± 0.18 a | ||
| Mean | 4.74 | 14.48 | 22.44 | 50.53 | ||
| Songxiangjing 1018 | D1 | 4.79 ± 0.04 d | 14.30 ± 0.12 d | 22.32 ± 0.26 c | 52.52 ± 0.41 a | |
| D2 | 5.21 ± 0.10 c | 14.80 ± 0.33 c | 23.32 ± 0.30 b | 52.34 ± 0.60 a | ||
| D3 | 5.56 ± 0.06 b | 15.29 ± 0.18 b | 24.26 ± 0.23 a | 51.85 ± 0.51 a | ||
| D4 | 5.80 ± 0.13 a | 15.87 ± 0.15 a | 24.88 ± 0.29 a | 51.29 ± 0.97 a | ||
| Mean | 5.34 | 15.07 | 23.69 | 52.00 | ||
| 2024 | Ningxiangjing 9 | D1 | 4.17 ± 0.05 c | 13.69 ± 0.14 c | 20.85 ± 0.11 d | 50.94 ± 0.25 a |
| D2 | 4.44 ± 0.06 bc | 14.14 ± 0.06 b | 21.86 ± 0.13 c | 50.63 ± 0.23 a | ||
| D3 | 4.67 ± 0.06 ab | 14.46 ± 0.13 a | 22.62 ± 0.28 b | 50.57 ± 0.47 a | ||
| D4 | 4.81 ± 0.24 a | 14.69 ± 0.11 a | 23.18 ± 0.14 a | 50.45 ± 0.23 a | ||
| Mean | 4.52 | 14.24 | 22.13 | 50.65 | ||
| Songxiangjing 1018 | D1 | 4.52 ± 0.10 d | 13.90 ± 0.15 d | 21.54 ± 0.16 d | 52.11 ± 0.51 a | |
| D2 | 4.97 ± 0.07 c | 14.49 ± 0.05 c | 22.65 ± 0.19 c | 51.71 ± 0.16 a | ||
| D3 | 5.30 ± 0.09 b | 15.00 ± 0.17 b | 23.76 ± 0.23 b | 51.39 ± 0.41 ab | ||
| D4 | 5.61 ± 0.11 a | 15.63 ± 0.12 a | 24.88 ± 0.20 a | 50.72 ± 0.37 b | ||
| Mean | 5.10 | 14.75 | 23.21 | 51.48 | ||
| Year (Y) | ** | ** | ** | NS | ||
| Variety (V) | ** | ** | ** | ** | ||
| Treatment (T) | ** | ** | ** | ** | ||
| Y × V | NS | NS | NS | NS | ||
| Y × T | NS | NS | NS | NS | ||
| V × T | NS | NS | NS | NS | ||
| Y × V × T | NS | NS | NS | NS | ||
Table 2. Effects of planting density on dry matter accumulation and harvest index of japonica rice.
| Year | Variety | Treatment | Dry matter (t/hm2) | Harvest index (%) | ||
|---|---|---|---|---|---|---|
| Jointing stage | Heading stage | Maturity stage | ||||
| 2023 | Ningxiangjing 9 | D1 | 4.32 ± 0.03 b | 13.64 ± 0.18 c | 20.92 ± 0.10 d | 50.94 ± 0.69 a |
| D2 | 4.67 ± 0.07 ab | 14.35 ± 0.18 b | 22.20 ± 0.32 c | 50.79 ± 0.20 a | ||
| D3 | 4.90 ± 0.03 a | 14.76 ± 0.29 ab | 22.99 ± 0.32 b | 50.46 ± 1.20 a | ||
| D4 | 5.09 ± 0.37 a | 15.15 ± 0.25 a | 23.64 ± 0.04 a | 49.91 ± 0.18 a | ||
| Mean | 4.74 | 14.48 | 22.44 | 50.53 | ||
| Songxiangjing 1018 | D1 | 4.79 ± 0.04 d | 14.30 ± 0.12 d | 22.32 ± 0.26 c | 52.52 ± 0.41 a | |
| D2 | 5.21 ± 0.10 c | 14.80 ± 0.33 c | 23.32 ± 0.30 b | 52.34 ± 0.60 a | ||
| D3 | 5.56 ± 0.06 b | 15.29 ± 0.18 b | 24.26 ± 0.23 a | 51.85 ± 0.51 a | ||
| D4 | 5.80 ± 0.13 a | 15.87 ± 0.15 a | 24.88 ± 0.29 a | 51.29 ± 0.97 a | ||
| Mean | 5.34 | 15.07 | 23.69 | 52.00 | ||
| 2024 | Ningxiangjing 9 | D1 | 4.17 ± 0.05 c | 13.69 ± 0.14 c | 20.85 ± 0.11 d | 50.94 ± 0.25 a |
| D2 | 4.44 ± 0.06 bc | 14.14 ± 0.06 b | 21.86 ± 0.13 c | 50.63 ± 0.23 a | ||
| D3 | 4.67 ± 0.06 ab | 14.46 ± 0.13 a | 22.62 ± 0.28 b | 50.57 ± 0.47 a | ||
| D4 | 4.81 ± 0.24 a | 14.69 ± 0.11 a | 23.18 ± 0.14 a | 50.45 ± 0.23 a | ||
| Mean | 4.52 | 14.24 | 22.13 | 50.65 | ||
| Songxiangjing 1018 | D1 | 4.52 ± 0.10 d | 13.90 ± 0.15 d | 21.54 ± 0.16 d | 52.11 ± 0.51 a | |
| D2 | 4.97 ± 0.07 c | 14.49 ± 0.05 c | 22.65 ± 0.19 c | 51.71 ± 0.16 a | ||
| D3 | 5.30 ± 0.09 b | 15.00 ± 0.17 b | 23.76 ± 0.23 b | 51.39 ± 0.41 ab | ||
| D4 | 5.61 ± 0.11 a | 15.63 ± 0.12 a | 24.88 ± 0.20 a | 50.72 ± 0.37 b | ||
| Mean | 5.10 | 14.75 | 23.21 | 51.48 | ||
| Year (Y) | ** | ** | ** | NS | ||
| Variety (V) | ** | ** | ** | ** | ||
| Treatment (T) | ** | ** | ** | ** | ||
| Y × V | NS | NS | NS | NS | ||
| Y × T | NS | NS | NS | NS | ||
| V × T | NS | NS | NS | NS | ||
| Y × V × T | NS | NS | NS | NS | ||
| Variety | Treatment | Jointing stage | Heading stage | Maturity stage | Leaf area reduction rate per day | ||||
|---|---|---|---|---|---|---|---|---|---|
| High-effective LAI | High-effective LAI ratio (%) | Effective LAI | Effective LAI ratio (%) | Total LAI | |||||
| 2023 | |||||||||
| NXJ | D1 | 3.08 ± 0.08 b | 5.65 ± 0.04 a | 81.32 ± 0.36 a | 6.34 ± 0.03 a | 91.40 ± 0.12 a | 6.94 ± 0.04 b | 3.04 ± 0.05 a | 0.0814 ± 0.0017 a |
| D2 | 3.18 ± 0.05 ab | 5.71 ± 0.07 a | 81.12 ± 0.30 a | 6.42 ± 0.10 a | 91.12 ± 0.48 a | 7.04 ± 0.07 ab | 3.12 ± 0.09 a | 0.0816 ± 0.0010 a | |
| D3 | 3.23 ± 0.11 ab | 5.75 ± 0.17 a | 80.74 ± 0.96 a | 6.47 ± 0.17 a | 90.89 ± 0.69 a | 7.12 ± 0.13 ab | 3.19 ± 0.11 a | 0.0819 ± 0.0010 a | |
| D4 | 3.28 ± 0.06 a | 5.75 ± 0.07 a | 80.02 ± 0.19 a | 6.49 ± 0.11 a | 90.30 ± 0.60 a | 7.19 ± 0.08 a | 3.23 ± 0.15 a | 0.0825 ± 0.0018 a | |
| Mean | 3.20 | 5.72 | 80.80 | 6.43 | 90.93 | 7.07 | 3.14 | 0.0818 | |
| SXJ | D1 | 3.13 ± 0.09 b | 5.93 ± 0.07 a | 83.42 ± 0.41 a | 6.56 ± 0.09 a | 92.24 ± 0.82 a | 7.11 ± 0.05 c | 3.10 ± 0.05 c | 0.0802 ± 0.0008 a |
| D2 | 3.22 ± 0.04 ab | 6.01 ± 0.10 a | 83.24 ± 0.57 ab | 6.66 ± 0.12 a | 92.20 ± 0.84 a | 7.22 ± 0.07 bc | 3.20 ± 0.07 bc | 0.0803 ± 0.0030 a | |
| D3 | 3.30 ± 0.04 ab | 6.05 ± 0.02 a | 82.68 ± 0.43 ab | 6.73 ± 0.05 a | 92.03 ± 0.69 a | 7.32 ± 0.03 ab | 3.28 ± 0.04 ab | 0.0806 ± 0.0008 a | |
| D4 | 3.37 ± 0.09 a | 6.07 ± 0.05 a | 82.11 ± 0.50 b | 6.77 ± 0.09 a | 91.58 ± 0.45 a | 7.39 ± 0.06 a | 3.34 ± 0.03 a | 0.0810 ± 0.0018 a | |
| Mean | 3.25 | 6.01 | 82.86 | 6.68 | 92.01 | 7.26 | 3.23 | 0.0805 | |
| 2024 | |||||||||
| NXJ | D1 | 2.97 ± 0.02 c | 5.58 ± 0.04 a | 80.88 ± 0.38 a | 6.26 ± 0.02 b | 90.83 ± 0.09 a | 6.89 ± 0.02 c | 2.96 ± 0.03 c | 0.0820 ± 0.0010 a |
| D2 | 3.03 ± 0.02 bc | 5.59 ± 0.06 a | 80.44 ± 0.23 ab | 6.30 ± 0.06 ab | 90.58 ± 0.07 ab | 6.95 ± 0.06 bc | 3.01 ± 0.02 bc | 0.0821 ± 0.0014 a | |
| D3 | 3.08 ± 0.04 ab | 5.64 ± 0.04 a | 80.15 ± 0.30 b | 6.35 ± 0.04 ab | 90.37 ± 0.17 ab | 7.03 ± 0.04 ab | 3.07 ± 0.02 ab | 0.0826 ± 0.0012 a | |
| D4 | 3.15 ± 0.04 a | 5.66 ± 0.06 a | 79.88 ± 0.05 b | 6.39 ± 0.07 a | 90.21 ± 0.43 b | 7.09 ± 0.07 a | 3.10 ± 0.03 a | 0.0831 ± 0.0008 a | |
| Mean | 3.06 | 5.62 | 80.34 | 6.33 | 90.50 | 6.99 | 3.03 | 0.0825 | |
| SXJ | D1 | 3.06 ± 0.10 b | 5.84 ± 0.06 a | 83.28 ± 0.34 a | 6.55 ± 0.04 b | 93.41 ± 0.17 a | 7.01 ± 0.04 c | 2.91 ± 0.14 b | 0.0805 ± 0.0033 a |
| D2 | 3.18 ± 0.09 ab | 5.88 ± 0.11 a | 82.41 ± 0.90 a | 6.65 ± 0.11 ab | 93.12 ± 1.08 a | 7.14 ± 0.06 b | 3.02 ± 0.08 ab | 0.0807 ± 0.0006 a | |
| D3 | 3.25 ± 0.10 ab | 5.94 ± 0.06 a | 82.06 ± 0.86 a | 6.72 ± 0.08 ab | 92.82 ± 0.74 a | 7.24 ± 0.03 a | 3.10 ± 0.05 ab | 0.0813 ± 0.0013 a | |
| D4 | 3.31 ± 0.08 a | 6.00 ± 0.08 a | 81.95 ± 0.88 a | 6.78 ± 0.10 a | 92.56 ± 0.91 a | 7.32 ± 0.05 a | 3.16 ± 0.02 a | 0.0816 ± 0.0007 a | |
| Mean | 3.20 | 5.92 | 82.43 | 6.67 | 92.98 | 7.18 | 3.05 | 0.0810 | |
| Year (Y) | ** | ** | NS | * | NS | ** | ** | NS | |
| Variety (V) | ** | ** | ** | ** | ** | ** | NS | * | |
| Treatment (T) | ** | * | ** | ** | NS | ** | ** | NS | |
| Y × V | * | NS | NS | * | ** | NS | NS | NS | |
| Y × T | NS | NS | NS | NS | NS | NS | NS | NS | |
| V × T | NS | NS | NS | NS | NS | NS | NS | NS | |
| Y × V ×T | NS | NS | NS | NS | NS | NS | NS | NS | |
Table 3. Effects of planting density on leaf area index (LAI) of japonica rice.
| Variety | Treatment | Jointing stage | Heading stage | Maturity stage | Leaf area reduction rate per day | ||||
|---|---|---|---|---|---|---|---|---|---|
| High-effective LAI | High-effective LAI ratio (%) | Effective LAI | Effective LAI ratio (%) | Total LAI | |||||
| 2023 | |||||||||
| NXJ | D1 | 3.08 ± 0.08 b | 5.65 ± 0.04 a | 81.32 ± 0.36 a | 6.34 ± 0.03 a | 91.40 ± 0.12 a | 6.94 ± 0.04 b | 3.04 ± 0.05 a | 0.0814 ± 0.0017 a |
| D2 | 3.18 ± 0.05 ab | 5.71 ± 0.07 a | 81.12 ± 0.30 a | 6.42 ± 0.10 a | 91.12 ± 0.48 a | 7.04 ± 0.07 ab | 3.12 ± 0.09 a | 0.0816 ± 0.0010 a | |
| D3 | 3.23 ± 0.11 ab | 5.75 ± 0.17 a | 80.74 ± 0.96 a | 6.47 ± 0.17 a | 90.89 ± 0.69 a | 7.12 ± 0.13 ab | 3.19 ± 0.11 a | 0.0819 ± 0.0010 a | |
| D4 | 3.28 ± 0.06 a | 5.75 ± 0.07 a | 80.02 ± 0.19 a | 6.49 ± 0.11 a | 90.30 ± 0.60 a | 7.19 ± 0.08 a | 3.23 ± 0.15 a | 0.0825 ± 0.0018 a | |
| Mean | 3.20 | 5.72 | 80.80 | 6.43 | 90.93 | 7.07 | 3.14 | 0.0818 | |
| SXJ | D1 | 3.13 ± 0.09 b | 5.93 ± 0.07 a | 83.42 ± 0.41 a | 6.56 ± 0.09 a | 92.24 ± 0.82 a | 7.11 ± 0.05 c | 3.10 ± 0.05 c | 0.0802 ± 0.0008 a |
| D2 | 3.22 ± 0.04 ab | 6.01 ± 0.10 a | 83.24 ± 0.57 ab | 6.66 ± 0.12 a | 92.20 ± 0.84 a | 7.22 ± 0.07 bc | 3.20 ± 0.07 bc | 0.0803 ± 0.0030 a | |
| D3 | 3.30 ± 0.04 ab | 6.05 ± 0.02 a | 82.68 ± 0.43 ab | 6.73 ± 0.05 a | 92.03 ± 0.69 a | 7.32 ± 0.03 ab | 3.28 ± 0.04 ab | 0.0806 ± 0.0008 a | |
| D4 | 3.37 ± 0.09 a | 6.07 ± 0.05 a | 82.11 ± 0.50 b | 6.77 ± 0.09 a | 91.58 ± 0.45 a | 7.39 ± 0.06 a | 3.34 ± 0.03 a | 0.0810 ± 0.0018 a | |
| Mean | 3.25 | 6.01 | 82.86 | 6.68 | 92.01 | 7.26 | 3.23 | 0.0805 | |
| 2024 | |||||||||
| NXJ | D1 | 2.97 ± 0.02 c | 5.58 ± 0.04 a | 80.88 ± 0.38 a | 6.26 ± 0.02 b | 90.83 ± 0.09 a | 6.89 ± 0.02 c | 2.96 ± 0.03 c | 0.0820 ± 0.0010 a |
| D2 | 3.03 ± 0.02 bc | 5.59 ± 0.06 a | 80.44 ± 0.23 ab | 6.30 ± 0.06 ab | 90.58 ± 0.07 ab | 6.95 ± 0.06 bc | 3.01 ± 0.02 bc | 0.0821 ± 0.0014 a | |
| D3 | 3.08 ± 0.04 ab | 5.64 ± 0.04 a | 80.15 ± 0.30 b | 6.35 ± 0.04 ab | 90.37 ± 0.17 ab | 7.03 ± 0.04 ab | 3.07 ± 0.02 ab | 0.0826 ± 0.0012 a | |
| D4 | 3.15 ± 0.04 a | 5.66 ± 0.06 a | 79.88 ± 0.05 b | 6.39 ± 0.07 a | 90.21 ± 0.43 b | 7.09 ± 0.07 a | 3.10 ± 0.03 a | 0.0831 ± 0.0008 a | |
| Mean | 3.06 | 5.62 | 80.34 | 6.33 | 90.50 | 6.99 | 3.03 | 0.0825 | |
| SXJ | D1 | 3.06 ± 0.10 b | 5.84 ± 0.06 a | 83.28 ± 0.34 a | 6.55 ± 0.04 b | 93.41 ± 0.17 a | 7.01 ± 0.04 c | 2.91 ± 0.14 b | 0.0805 ± 0.0033 a |
| D2 | 3.18 ± 0.09 ab | 5.88 ± 0.11 a | 82.41 ± 0.90 a | 6.65 ± 0.11 ab | 93.12 ± 1.08 a | 7.14 ± 0.06 b | 3.02 ± 0.08 ab | 0.0807 ± 0.0006 a | |
| D3 | 3.25 ± 0.10 ab | 5.94 ± 0.06 a | 82.06 ± 0.86 a | 6.72 ± 0.08 ab | 92.82 ± 0.74 a | 7.24 ± 0.03 a | 3.10 ± 0.05 ab | 0.0813 ± 0.0013 a | |
| D4 | 3.31 ± 0.08 a | 6.00 ± 0.08 a | 81.95 ± 0.88 a | 6.78 ± 0.10 a | 92.56 ± 0.91 a | 7.32 ± 0.05 a | 3.16 ± 0.02 a | 0.0816 ± 0.0007 a | |
| Mean | 3.20 | 5.92 | 82.43 | 6.67 | 92.98 | 7.18 | 3.05 | 0.0810 | |
| Year (Y) | ** | ** | NS | * | NS | ** | ** | NS | |
| Variety (V) | ** | ** | ** | ** | ** | ** | NS | * | |
| Treatment (T) | ** | * | ** | ** | NS | ** | ** | NS | |
| Y × V | * | NS | NS | * | ** | NS | NS | NS | |
| Y × T | NS | NS | NS | NS | NS | NS | NS | NS | |
| V × T | NS | NS | NS | NS | NS | NS | NS | NS | |
| Y × V ×T | NS | NS | NS | NS | NS | NS | NS | NS | |
| Year | Variety | Treatment | Plant height (cm) | Flag leaf | Second leaf from top | Third leaf from top | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Leaf length (cm) | Leaf width (cm) | Leaf length (cm) | Leaf width (cm) | Leaf length (cm) | Leaf width (cm) | |||||||||||
| 2023 | NXJ | D1 | 103.00 ± 2.83 a | 27.10 ± 1.00 a | 1.80 ± 0.08 a | 36.67 ± 2.01 a | 1.77 ± 0.05 a | 41.43 ± 1.98 a | 1.67 ± 0.12 a | |||||||
| D2 | 102.17 ± 2.09 a | 26.17 ± 0.62 a | 1.77 ± 0.12 a | 36.40 ± 0.91 a | 1.73 ± 0.05 a | 41.00 ± 1.28 a | 1.63 ± 0.09 a | |||||||||
| D3 | 100.83 ± 1.55 a | 25.67 ± 1.39 a | 1.70 ± 0.08 a | 35.93 ± 1.57 a | 1.67 ± 0.17 a | 40.43 ± 1.14 a | 1.53 ± 0.12 a | |||||||||
| D4 | 97.50 ± 3.34 a | 24.97 ± 1.18 a | 1.63 ± 0.12 a | 34.97 ± 0.52 a | 1.58 ± 0.13 a | 39.77 ± 0.74 a | 1.43 ± 0.05 a | |||||||||
| Mean | 100.88 | 25.98 | 1.73 | 35.99 | 1.69 | 40.66 | 1.57 | |||||||||
| SXJ | D1 | 98.00 ± 2.55 a | 28.23 ± 2.05 a | 1.93 ± 0.12 a | 38.77 ± 0.97 a | 1.90 ± 0.08 a | 43.80 ± 0.43 a | 1.80 ± 0.08 a | ||||||||
| D2 | 97.33 ± 1.65 a | 27.63 ± 2.42 a | 1.90 ± 0.08 a | 38.23 ± 1.32 a | 1.87 ± 0.09 a | 43.60 ± 1.44 a | 1.77 ± 0.12 a | |||||||||
| D3 | 96.17 ± 3.01 a | 26.67 ± 0.74 a | 1.83 ± 0.09 a | 37.80 ± 1.53 a | 1.83 ± 0.12 a | 42.87 ± 1.93 a | 1.67 ± 0.05 a | |||||||||
| D4 | 94.50 ± 3.08 a | 25.47 ± 2.01 a | 1.77 ± 0.12 a | 36.83 ± 1.07 a | 1.73 ± 0.17 a | 42.20 ± 1.31 a | 1.60 ± 0.14 a | |||||||||
| Mean | 96.50 | 27.00 | 1.86 | 37.91 | 1.83 | 43.12 | 1.71 | |||||||||
| 2024 | NXJ | D1 | 101.67 ± 2.62 a | 26.60 ± 0.78 a | 1.87 ± 0.21 a | 36.33 ± 0.83 a | 1.73 ± 0.05 a | 40.10 ± 0.29 a | 1.63 ± 0.05 a | |||||||
| D2 | 100.83 ± 2.25 a | 26.07 ± 0.54 a | 1.73 ± 0.05 a | 35.73 ± 1.09 a | 1.70 ± 0.08 a | 39.67 ± 0.81 a | 1.60 ± 0.08 a | |||||||||
| D3 | 99.50 ± 1.08 a | 25.30 ± 1.42 a | 1.67 ± 0.12 a | 34.80 ± 0.65 a | 1.63 ± 0.05 a | 38.43 ± 2.20 a | 1.50 ± 0.08 ab | |||||||||
| D4 | 97.17 ± 2.32 a | 24.30 ± 1.80 a | 1.60 ± 0.08 a | 34.03 ± 1.22 a | 1.57 ± 0.09 a | 37.03 ± 1.92 a | 1.37 ± 0.05 b | |||||||||
| Mean | 99.79 | 25.57 | 1.72 | 35.23 | 1.66 | 38.81 | 1.53 | |||||||||
| SXJ | D1 | 97.67 ± 1.65 a | 27.57 ± 2.11 a | 1.90 ± 0.16 a | 37.77 ± 2.38 a | 1.87 ± 0.17 a | 42.07 ± 1.20 a | 1.77 ± 0.09 a | ||||||||
| D2 | 96.50 ± 1.08 a | 26.98 ± 1.52 a | 1.87 ± 0.09 a | 37.33 ± 1.77 a | 1.80 ± 0.08 a | 41.93 ± 1.43 a | 1.70 ± 0.08 a | |||||||||
| D3 | 95.00 ± 2.68 a | 26.17 ± 1.54 a | 1.80 ± 0.14 a | 36.80 ± 1.00 a | 1.73 ± 0.17 a | 40.53 ± 0.62 a | 1.63 ± 0.05 ab | |||||||||
| D4 | 93.83 ± 3.01 a | 25.13 ± 2.02 a | 1.70 ± 0.08 a | 36.17 ± 1.88 a | 1.67 ± 0.09 a | 39.87 ± 1.27 a | 1.50 ± 0.08 b | |||||||||
| Mean | 95.75 | 26.46 | 1.82 | 37.02 | 1.77 | 41.10 | 1.65 | |||||||||
| Year (Y) | NS | NS | NS | NS | NS | ** | NS | |||||||||
| Variety (V) | ** | NS | NS | * | * | ** | ** | |||||||||
| Treatment (T) | * | * | ** | NS | NS | * | ** | |||||||||
| Y × V | NS | NS | NS | NS | NS | NS | NS | |||||||||
| Y × T | NS | NS | NS | NS | NS | NS | NS | |||||||||
| V × T | NS | NS | NS | NS | NS | NS | NS | |||||||||
| Y × V × T | NS | NS | NS | NS | NS | NS | NS | |||||||||
Table 4. Effects of planting density on plant height and top three leaves length and width of japonica rice plants.
| Year | Variety | Treatment | Plant height (cm) | Flag leaf | Second leaf from top | Third leaf from top | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Leaf length (cm) | Leaf width (cm) | Leaf length (cm) | Leaf width (cm) | Leaf length (cm) | Leaf width (cm) | |||||||||||
| 2023 | NXJ | D1 | 103.00 ± 2.83 a | 27.10 ± 1.00 a | 1.80 ± 0.08 a | 36.67 ± 2.01 a | 1.77 ± 0.05 a | 41.43 ± 1.98 a | 1.67 ± 0.12 a | |||||||
| D2 | 102.17 ± 2.09 a | 26.17 ± 0.62 a | 1.77 ± 0.12 a | 36.40 ± 0.91 a | 1.73 ± 0.05 a | 41.00 ± 1.28 a | 1.63 ± 0.09 a | |||||||||
| D3 | 100.83 ± 1.55 a | 25.67 ± 1.39 a | 1.70 ± 0.08 a | 35.93 ± 1.57 a | 1.67 ± 0.17 a | 40.43 ± 1.14 a | 1.53 ± 0.12 a | |||||||||
| D4 | 97.50 ± 3.34 a | 24.97 ± 1.18 a | 1.63 ± 0.12 a | 34.97 ± 0.52 a | 1.58 ± 0.13 a | 39.77 ± 0.74 a | 1.43 ± 0.05 a | |||||||||
| Mean | 100.88 | 25.98 | 1.73 | 35.99 | 1.69 | 40.66 | 1.57 | |||||||||
| SXJ | D1 | 98.00 ± 2.55 a | 28.23 ± 2.05 a | 1.93 ± 0.12 a | 38.77 ± 0.97 a | 1.90 ± 0.08 a | 43.80 ± 0.43 a | 1.80 ± 0.08 a | ||||||||
| D2 | 97.33 ± 1.65 a | 27.63 ± 2.42 a | 1.90 ± 0.08 a | 38.23 ± 1.32 a | 1.87 ± 0.09 a | 43.60 ± 1.44 a | 1.77 ± 0.12 a | |||||||||
| D3 | 96.17 ± 3.01 a | 26.67 ± 0.74 a | 1.83 ± 0.09 a | 37.80 ± 1.53 a | 1.83 ± 0.12 a | 42.87 ± 1.93 a | 1.67 ± 0.05 a | |||||||||
| D4 | 94.50 ± 3.08 a | 25.47 ± 2.01 a | 1.77 ± 0.12 a | 36.83 ± 1.07 a | 1.73 ± 0.17 a | 42.20 ± 1.31 a | 1.60 ± 0.14 a | |||||||||
| Mean | 96.50 | 27.00 | 1.86 | 37.91 | 1.83 | 43.12 | 1.71 | |||||||||
| 2024 | NXJ | D1 | 101.67 ± 2.62 a | 26.60 ± 0.78 a | 1.87 ± 0.21 a | 36.33 ± 0.83 a | 1.73 ± 0.05 a | 40.10 ± 0.29 a | 1.63 ± 0.05 a | |||||||
| D2 | 100.83 ± 2.25 a | 26.07 ± 0.54 a | 1.73 ± 0.05 a | 35.73 ± 1.09 a | 1.70 ± 0.08 a | 39.67 ± 0.81 a | 1.60 ± 0.08 a | |||||||||
| D3 | 99.50 ± 1.08 a | 25.30 ± 1.42 a | 1.67 ± 0.12 a | 34.80 ± 0.65 a | 1.63 ± 0.05 a | 38.43 ± 2.20 a | 1.50 ± 0.08 ab | |||||||||
| D4 | 97.17 ± 2.32 a | 24.30 ± 1.80 a | 1.60 ± 0.08 a | 34.03 ± 1.22 a | 1.57 ± 0.09 a | 37.03 ± 1.92 a | 1.37 ± 0.05 b | |||||||||
| Mean | 99.79 | 25.57 | 1.72 | 35.23 | 1.66 | 38.81 | 1.53 | |||||||||
| SXJ | D1 | 97.67 ± 1.65 a | 27.57 ± 2.11 a | 1.90 ± 0.16 a | 37.77 ± 2.38 a | 1.87 ± 0.17 a | 42.07 ± 1.20 a | 1.77 ± 0.09 a | ||||||||
| D2 | 96.50 ± 1.08 a | 26.98 ± 1.52 a | 1.87 ± 0.09 a | 37.33 ± 1.77 a | 1.80 ± 0.08 a | 41.93 ± 1.43 a | 1.70 ± 0.08 a | |||||||||
| D3 | 95.00 ± 2.68 a | 26.17 ± 1.54 a | 1.80 ± 0.14 a | 36.80 ± 1.00 a | 1.73 ± 0.17 a | 40.53 ± 0.62 a | 1.63 ± 0.05 ab | |||||||||
| D4 | 93.83 ± 3.01 a | 25.13 ± 2.02 a | 1.70 ± 0.08 a | 36.17 ± 1.88 a | 1.67 ± 0.09 a | 39.87 ± 1.27 a | 1.50 ± 0.08 b | |||||||||
| Mean | 95.75 | 26.46 | 1.82 | 37.02 | 1.77 | 41.10 | 1.65 | |||||||||
| Year (Y) | NS | NS | NS | NS | NS | ** | NS | |||||||||
| Variety (V) | ** | NS | NS | * | * | ** | ** | |||||||||
| Treatment (T) | * | * | ** | NS | NS | * | ** | |||||||||
| Y × V | NS | NS | NS | NS | NS | NS | NS | |||||||||
| Y × T | NS | NS | NS | NS | NS | NS | NS | |||||||||
| V × T | NS | NS | NS | NS | NS | NS | NS | |||||||||
| Y × V × T | NS | NS | NS | NS | NS | NS | NS | |||||||||
| Variety | Treat-ment | Panicle length (cm) | No. of spikelets per panicle | No. of filled spikelets per panicle | Seed-setting rate (%) | Grain density (Grain/cm) | Single panicle weight (g) | Axis | ||
|---|---|---|---|---|---|---|---|---|---|---|
| No. of spikelets | No. of filled spikelets | Seed-setting rate (%) | ||||||||
| 2023 | ||||||||||
| NXJ | D1 | 17.58 ± 0.11 a | 182.86 ± 0.92 a | 155.19 ± 0.73 a | 84.87 ± 0.73 a | 10.40 ± 0.10 a | 3.80 ± 0.02 a | 6.64 ± 0.08 a | 6.13 ± 0.09 a | 92.39 ± 2.30 a |
| D2 | 17.54 ± 0.11 a | 182.08 ± 0.60 a | 154.21 ± 1.34 a | 84.70 ± 1.01 a | 10.38 ± 0.09 a | 3.77 ± 0.01 ab | 6.61 ± 0.13 a | 6.07 ± 0.05 ab | 91.91 ± 1.60 a | |
| D3 | 17.46 ± 0.09 a | 180.62 ± 0.93 ab | 151.92 ± 0.84 b | 84.11 ± 0.09 a | 10.35 ± 0.07 a | 3.70 ± 0.07 bc | 6.58 ± 0.07 a | 6.02 ± 0.11 ab | 91.44 ± 0.69 a | |
| D4 | 17.34 ± 0.08 a | 178.44 ± 1.60 b | 149.55 ± 0.50 c | 83.82 ± 0.93 a | 10.29 ± 0.09 a | 3.61 ± 0.01 c | 6.49 ± 0.11 a | 5.86 ± 0.12 b | 90.21 ± 1.93 a | |
| Mean | 17.48 | 181.00 | 152.72 | 84.37 | 10.36 | 3.72 | 6.58 | 6.02 | 91.49 | |
| SXJ | D1 | 16.46 ± 0.09 a | 171.05 ± 0.57 a | 151.19 ± 0.91 a | 88.39 ± 0.52 a | 10.39 ± 0.07 a | 4.22 ± 0.02 a | 6.20 ± 0.10 a | 5.84 ± 0.10 a | 94.20 ± 0.96 a |
| D2 | 16.44 ± 0.06 a | 168.94 ± 0.88 a | 148.89 ± 0.86 a | 88.13 ± 0.24 a | 10.28 ± 0.06 a | 4.15 ± 0.01 b | 6.14 ± 0.10 a | 5.74 ± 0.09 ab | 93.49 ± 1.34 a | |
| D3 | 16.39 ± 0.07 a | 165.62 ± 1.06 b | 145.19 ± 1.31 b | 87.67 ± 0.28 a | 10.11 ± 0.04 b | 4.03 ± 0.06 c | 6.06 ± 0.08 a | 5.63 ± 0.11 ab | 92.85 ± 0.49 a | |
| D4 | 16.35 ± 0.10 a | 162.86 ± 1.32 c | 142.27 ± 1.47 c | 87.36 ± 0.58 a | 9.96 ± 0.05 c | 3.93 ± 0.01 d | 5.98 ± 0.10 a | 5.54 ± 0.05 b | 92.65 ± 0.78 a | |
| Mean | 16.41 | 167.12 | 146.89 | 87.89 | 10.18 | 4.08 | 6.10 | 5.69 | 93.30 | |
| 2024 | ||||||||||
| NXJ | D1 | 17.40 ± 0.18 a | 175.63 ± 0.30 a | 148.82 ± 0.53 a | 84.74 ± 0.35 a | 10.10 ± 0.10 a | 3.62 ± 0.01 a | 6.34 ± 0.11 a | 5.80 ± 0.07 a | 91.49 ± 0.67 a |
| D2 | 17.22 ± 0.14 ab | 173.26 ± 0.31 b | 146.59 ± 0.12 b | 84.61 ± 0.20 a | 10.06 ± 0.09 a | 3.55 ± 0.01 b | 6.30 ± 0.02 a | 5.75 ± 0.05 ab | 91.22 ± 0.62 a | |
| D3 | 17.07 ± 0.05 bc | 171.04 ± 0.09 c | 144.07 ± 0.37 c | 84.23 ± 0.20 a | 10.02 ± 0.03 a | 3.49 ± 0.01 c | 6.28 ± 0.02 a | 5.70 ± 0.02 ab | 90.66 ± 0.17 a | |
| D4 | 16.85 ± 0.08 c | 167.55 ± 1.75 d | 140.16 ± 0.53 d | 83.67 ± 1.19 a | 9.94 ± 0.11 a | 3.39 ± 0.02 d | 6.25 ± 0.03 a | 5.66 ± 0.04 b | 90.57 ± 0.90 a | |
| Mean | 17.14 | 171.87 | 144.91 | 84.31 | 10.03 | 3.51 | 6.29 | 5.73 | 90.98 | |
| SXJ | D1 | 16.31 ± 0.02 a | 165.88 ± 0.66 a | 145.34 ± 0.17 a | 87.62 ± 0.30 a | 10.17 ± 0.05 a | 4.03 ± 0.01 a | 5.95 ± 0.04 a | 5.49 ± 0.05 a | 92.16 ± 0.53 a |
| D2 | 16.25 ± 0.03 a | 163.06 ± 0.59 b | 142.59 ± 0.43 b | 87.44 ± 0.20 a | 10.04 ± 0.05 b | 3.95 ± 0.01 b | 5.80 ± 0.11 ab | 5.34 ± 0.03 b | 92.04 ± 1.48 a | |
| D3 | 16.17 ± 0.05 b | 160.47 ± 0.34 c | 139.89 ± 0.29 c | 87.17 ± 0.17 a | 9.92 ± 0.03 c | 3.87 ± 0.01 c | 5.70 ± 0.05 bc | 5.20 ± 0.06 c | 91.30 ± 1.60 a | |
| D4 | 16.09 ± 0.01 c | 158.45 ± 0.17 d | 137.10 ± 0.28 d | 86.53 ± 0.17 b | 9.85 ± 0.01 c | 3.78 ± 0.01 d | 5.56 ± 0.09 c | 5.03 ± 0.07 d | 90.47 ± 0.42 a | |
| Mean | 16.21 | 161.97 | 141.23 | 87.19 | 9.99 | 3.91 | 5.75 | 5.26 | 91.49 | |
| Year (Y) | ** | ** | ** | NS | ** | ** | ** | ** | NS | |
| Variety (V) | ** | ** | ** | ** | * | ** | ** | ** | NS | |
| Treatment (T) | ** | ** | ** | ** | ** | ** | ** | ** | NS | |
| Y × V | NS | ** | NS | NS | NS | NS | * | NS | NS | |
| Y × T | NS | NS | NS | NS | NS | NS | NS | NS | NS | |
| V × T | NS | NS | * | NS | ** | NS | ** | * | NS | |
| Y × V × T | NS | NS | * | NS | NS | NS | NS | NS | NS | |
Table 5. Effects of planting density on panicle pattern of japonica rice.
| Variety | Treat-ment | Panicle length (cm) | No. of spikelets per panicle | No. of filled spikelets per panicle | Seed-setting rate (%) | Grain density (Grain/cm) | Single panicle weight (g) | Axis | ||
|---|---|---|---|---|---|---|---|---|---|---|
| No. of spikelets | No. of filled spikelets | Seed-setting rate (%) | ||||||||
| 2023 | ||||||||||
| NXJ | D1 | 17.58 ± 0.11 a | 182.86 ± 0.92 a | 155.19 ± 0.73 a | 84.87 ± 0.73 a | 10.40 ± 0.10 a | 3.80 ± 0.02 a | 6.64 ± 0.08 a | 6.13 ± 0.09 a | 92.39 ± 2.30 a |
| D2 | 17.54 ± 0.11 a | 182.08 ± 0.60 a | 154.21 ± 1.34 a | 84.70 ± 1.01 a | 10.38 ± 0.09 a | 3.77 ± 0.01 ab | 6.61 ± 0.13 a | 6.07 ± 0.05 ab | 91.91 ± 1.60 a | |
| D3 | 17.46 ± 0.09 a | 180.62 ± 0.93 ab | 151.92 ± 0.84 b | 84.11 ± 0.09 a | 10.35 ± 0.07 a | 3.70 ± 0.07 bc | 6.58 ± 0.07 a | 6.02 ± 0.11 ab | 91.44 ± 0.69 a | |
| D4 | 17.34 ± 0.08 a | 178.44 ± 1.60 b | 149.55 ± 0.50 c | 83.82 ± 0.93 a | 10.29 ± 0.09 a | 3.61 ± 0.01 c | 6.49 ± 0.11 a | 5.86 ± 0.12 b | 90.21 ± 1.93 a | |
| Mean | 17.48 | 181.00 | 152.72 | 84.37 | 10.36 | 3.72 | 6.58 | 6.02 | 91.49 | |
| SXJ | D1 | 16.46 ± 0.09 a | 171.05 ± 0.57 a | 151.19 ± 0.91 a | 88.39 ± 0.52 a | 10.39 ± 0.07 a | 4.22 ± 0.02 a | 6.20 ± 0.10 a | 5.84 ± 0.10 a | 94.20 ± 0.96 a |
| D2 | 16.44 ± 0.06 a | 168.94 ± 0.88 a | 148.89 ± 0.86 a | 88.13 ± 0.24 a | 10.28 ± 0.06 a | 4.15 ± 0.01 b | 6.14 ± 0.10 a | 5.74 ± 0.09 ab | 93.49 ± 1.34 a | |
| D3 | 16.39 ± 0.07 a | 165.62 ± 1.06 b | 145.19 ± 1.31 b | 87.67 ± 0.28 a | 10.11 ± 0.04 b | 4.03 ± 0.06 c | 6.06 ± 0.08 a | 5.63 ± 0.11 ab | 92.85 ± 0.49 a | |
| D4 | 16.35 ± 0.10 a | 162.86 ± 1.32 c | 142.27 ± 1.47 c | 87.36 ± 0.58 a | 9.96 ± 0.05 c | 3.93 ± 0.01 d | 5.98 ± 0.10 a | 5.54 ± 0.05 b | 92.65 ± 0.78 a | |
| Mean | 16.41 | 167.12 | 146.89 | 87.89 | 10.18 | 4.08 | 6.10 | 5.69 | 93.30 | |
| 2024 | ||||||||||
| NXJ | D1 | 17.40 ± 0.18 a | 175.63 ± 0.30 a | 148.82 ± 0.53 a | 84.74 ± 0.35 a | 10.10 ± 0.10 a | 3.62 ± 0.01 a | 6.34 ± 0.11 a | 5.80 ± 0.07 a | 91.49 ± 0.67 a |
| D2 | 17.22 ± 0.14 ab | 173.26 ± 0.31 b | 146.59 ± 0.12 b | 84.61 ± 0.20 a | 10.06 ± 0.09 a | 3.55 ± 0.01 b | 6.30 ± 0.02 a | 5.75 ± 0.05 ab | 91.22 ± 0.62 a | |
| D3 | 17.07 ± 0.05 bc | 171.04 ± 0.09 c | 144.07 ± 0.37 c | 84.23 ± 0.20 a | 10.02 ± 0.03 a | 3.49 ± 0.01 c | 6.28 ± 0.02 a | 5.70 ± 0.02 ab | 90.66 ± 0.17 a | |
| D4 | 16.85 ± 0.08 c | 167.55 ± 1.75 d | 140.16 ± 0.53 d | 83.67 ± 1.19 a | 9.94 ± 0.11 a | 3.39 ± 0.02 d | 6.25 ± 0.03 a | 5.66 ± 0.04 b | 90.57 ± 0.90 a | |
| Mean | 17.14 | 171.87 | 144.91 | 84.31 | 10.03 | 3.51 | 6.29 | 5.73 | 90.98 | |
| SXJ | D1 | 16.31 ± 0.02 a | 165.88 ± 0.66 a | 145.34 ± 0.17 a | 87.62 ± 0.30 a | 10.17 ± 0.05 a | 4.03 ± 0.01 a | 5.95 ± 0.04 a | 5.49 ± 0.05 a | 92.16 ± 0.53 a |
| D2 | 16.25 ± 0.03 a | 163.06 ± 0.59 b | 142.59 ± 0.43 b | 87.44 ± 0.20 a | 10.04 ± 0.05 b | 3.95 ± 0.01 b | 5.80 ± 0.11 ab | 5.34 ± 0.03 b | 92.04 ± 1.48 a | |
| D3 | 16.17 ± 0.05 b | 160.47 ± 0.34 c | 139.89 ± 0.29 c | 87.17 ± 0.17 a | 9.92 ± 0.03 c | 3.87 ± 0.01 c | 5.70 ± 0.05 bc | 5.20 ± 0.06 c | 91.30 ± 1.60 a | |
| D4 | 16.09 ± 0.01 c | 158.45 ± 0.17 d | 137.10 ± 0.28 d | 86.53 ± 0.17 b | 9.85 ± 0.01 c | 3.78 ± 0.01 d | 5.56 ± 0.09 c | 5.03 ± 0.07 d | 90.47 ± 0.42 a | |
| Mean | 16.21 | 161.97 | 141.23 | 87.19 | 9.99 | 3.91 | 5.75 | 5.26 | 91.49 | |
| Year (Y) | ** | ** | ** | NS | ** | ** | ** | ** | NS | |
| Variety (V) | ** | ** | ** | ** | * | ** | ** | ** | NS | |
| Treatment (T) | ** | ** | ** | ** | ** | ** | ** | ** | NS | |
| Y × V | NS | ** | NS | NS | NS | NS | * | NS | NS | |
| Y × T | NS | NS | NS | NS | NS | NS | NS | NS | NS | |
| V × T | NS | NS | * | NS | ** | NS | ** | * | NS | |
| Y × V × T | NS | NS | * | NS | NS | NS | NS | NS | NS | |
Fig. 1. Effects of planting density on activities of photosynthesis-related, antioxidant, and nitrogen metabolism-related enzymes in japonica rice. D1, Planting density of 16 cm × 30 cm; D2, Planting density of 14 cm × 30 cm; D3, Planting density of 12 cm × 30 cm; D4, Planting density of 10 cm × 30 cm; TPS, Tillering peak stage; JS, Jointing stage; BS, Booting stage; HS, Heading stage; FHS, Full heading stage; MFS, Mid-filling stage; RuBisCO, Ribulose-1,5-bisphosphate carboxylase; ATPase, Adenosine triphosphatase; POD, Peroxidase; SOD, Superoxide dismutase; NR, Nitrate reductase; GS, Glutamine synthetase. Data are mean ± SE (n = 3). Different lowercase letters above bars indicate significant differences at P ≤ 0.05.
Fig. 2. Correlation of rice population characteristics, photosynthetic efficiency, and yield. Y, Yield; SPW, Single panicle weight; LAI, Total leaf area index at the heading stage; PH, Plant height; BIO, Dry matter accumulation; TRA, Plant translocation amount; PN, Net photosynthetic rate; SOD, Superoxide dismutase activity; POD, Peroxidase activity; RuBisCO, Ribulose-1,5-bisphosphate carboxylase activity; ATPase, Adenosine triphosphatase activity; NR, Nitrate reductase activity; GS, Glutamine synthetase activity. Data were from all replicates from two years (n = 48). *, P < 0.05.
| [1] | Cao Y Y, Zhong Z J, Wang H Y, et al. 2022. Leaf angle: A target of genetic improvement in cereal crops tailored for high-density planting. Plant Biotechnol J, 20(3): 426-436. |
| [2] | Chang T G, Zhu X G, 2017. Source-sink interaction: A century old concept under the light of modern molecular systems biology. J Exp Bot, 68(16): 4417-4431. |
| [3] | Chang T G, Song Q F, Zhao H L, et al. 2020. An in situ approach to characterizing photosynthetic gas exchange of rice panicle. Plant Methods, 16(1): 92. |
| [4] | Chen S, Yin M, Zheng X, et al. 2019. Effect of dense planting of hybrid rice on grain yield and solar radiation use in southeastern China. Agron J, 111(3): 1229-1238. |
| [5] | Chen T T, Ma J Y, Xu C M, et al. 2022. Increased ATPase activity promotes heat-resistance, high-yield, and high-quality traits in rice by improving energy status. Front Plant Sci, 13: 1035027. |
| [6] | Cheng Y X, Xiao F, Huang D Y, et al. 2024. High canopy photosynthesis before anthesis explains the outstanding yield performance of rice cultivars with ideal plant architecture. Field Crops Res, 306: 109223. |
| [7] | Deng N Y, Grassini P, Yang H S, et al. 2019. Closing yield gaps for rice self-sufficiency in China. Nat Commun, 10(1): 1725. |
| [8] | Duan M Y, Luo H W, Pan S G, et al. 2019. High transplant density cause loss yield and quality decrement by affecting photosynthesis, dry matter accumulation and transportation in super rice. Appl Ecol Env Res, 17(3): 6069-6079. |
| [9] | Dun C P, Wang R, Mi K L, et al. 2024. One-time application of controlled-release bulk blending fertilizer enhances yield, quality and photosynthetic efficiency in late japonica rice. J Integr Agric, 23(11): 3672-3691. |
| [10] | Fei L W, Yang S C, Ma A L Y, et al. 2023. Grain chalkiness is reduced by coordinating the biosynthesis of protein and starch in fragrant rice (Oryza sativa L.) grain under nitrogen fertilization. Field Crops Res, 302: 109098. |
| [11] | Guo C C, Yuan X J, Wen Y F, et al. 2023. Common population characteristics of direct-seeded hybrid indica rice for high yield. Agron J, 115(4): 1606-1621. |
| [12] | Han Y L, Liao J Y, Yu Y, et al. 2017. Exogenous abscisic acid promotes the nitrogen use efficiency of Brassica napus by increasing nitrogen remobilization in the leaves. J Plant Nutr, 40(18): 2540-2549. |
| [13] | Hao S, Wang G G, Yang Y T, et al. 2024. Promoting grain production through high-standard farmland construction: Evidence in China. J Integr Agric, 23(1): 324-335. |
| [14] | Hu Q, Jiang W Q, Qiu S, et al. 2020. Effect of wide-narrow row arrangement in mechanical pot-seedling transplanting and plant density on yield formation and grain quality of japonica rice. J Integr Agric, 19(5): 1197-1214. |
| [15] | Huang M, Tang Q Y, Ao H J, et al. 2017. Yield potential and stability in super hybrid rice and its production strategies. J Integr Agric, 16(5): 1009-1017. |
| [16] | Huang M, Chen J N, Cao F B, et al. 2018. Increased hill density can compensate for yield loss from reduced nitrogen input in machine-transplanted double-cropped rice. Field Crops Res, 221: 333-338. |
| [17] | Jiang H, Thobakgale T, Li Y Z, et al. 2021. Construction of dominant rice population under dry cultivation by seeding rate and nitrogen rate interaction. Sci Rep, 11(1): 7189. |
| [18] | Jiang Z R, Yang H Y, Zhu M C, et al. 2023. The inferior grain filling initiation promotes the source strength of rice leaves. Rice, 16(1): 41. |
| [19] | Li A, Zhang J, Wang X Y, et al. 2023. Differences in the metabolites of brown and milled rice grains of semiwaxy and conventional japonica varieties. J Food Sci, 88(12): 5309-5323. |
| [20] | Li G H, Cheng G G, Li L, et al. 2020. Effects of slow-released fertilizer on maize yield, biomass production, and source-sink ratio at different densities. J Plant Nutr, 43(5): 725-738. |
| [21] | Li G H, Zhang Y, Zhou C, et al. 2024. Agronomic and physiological characteristics of high yield and nitrogen use efficient varieties of rice: Comparison between two near-isogenic lines. Food Energy Secur, 13(2): e539. |
| [22] | Lin X Q, Zhou W J, Zhu D F, et al. 2005. Effect of SWD irrigation on photosynthesis and grain yield of rice (Oryza sativa L.). Field Crops Res, 94(1): 67-75. |
| [23] | Liu Q H, Zhou X B, Li J L, et al. 2017. Effects of seedling age and cultivation density on agronomic characteristics and grain yield of mechanically transplanted rice. Sci Rep, 7(1): 14072. |
| [24] | Liu W Y, Gai D S, Liang J N, et al. 2025. Paclobutrazol enhances lodging resistance and yield of direct-seeded rice by optimizing plant type and canopy light transmittance. Field Crops Res, 331: 109882. |
| [25] | Meng T Y, Zhang X B, Ge J L, et al. 2022. Improvements in grain yield and nutrient utilization efficiency of japonica inbred rice released since the 1980s in eastern China. Field Crops Res, 277: 108427. |
| [26] | Meng X S, Pan Y H, Chai Y X, et al. 2024. Higher light utilization and assimilate translocation efficiency produced greater grain yield in super hybrid rice. Plant Soil, 504(1/2): 529-544. |
| [27] | Meng X Y, Ran C, Liu B L, et al. 2023. Effect of straw return with nitrogen fertilizer on photosynthetic characteristics and yield of rice in soda saline-alkali rice paddy fields. Cereal Res Commun, 51(2): 509-526. |
| [28] | Savidov N A, Tokarev B I, Lips S H. 1997. Regulation of Mo-cofactor, NADH- and NAD(P)H-specific nitrate reductase activities in the wild type and two nar-mutant lines of barley (Hordeum vulgare L.). J Exp Bot, 48: 847-855. |
| [29] | Si F F, Fan F F, Xiao W, et al. 2022. uantitative trait locus mapping of high photosynthetic efficiency and biomass in Oryza longistaminata Rice Sci, 29(6): 569-576. |
| [30] | Sun L M, Hussain S, Liu H Y, et al. 2015. Implications of low sowing rate for hybrid rice varieties under dry direct-seeded rice system in Central China. Field Crops Res, 175: 87-95. |
| [31] | Tian G L, Gao L M, Kong Y L, et al. 2017. Improving rice population productivity by reducing nitrogen rate and increasing plant density. PLoS One, 12(8): e0182310. |
| [32] | Tian J Y, Li S P, Cheng S, et al. 2023. Increasing the appropriate seedling density for higher yield in dry direct-seeded rice sown by a multifunctional seeder after wheat-straw return. J Integr Agric, 22(2): 400-416. |
| [33] | Wang H, Li Y, Chern M, et al. 2021. Suppression of rice miR168 improves yield, flowering time and immunity. Nat Plants, 7(2): 129-136. |
| [34] | Wei H H, Yang Y L, Shao X Y, et al. 2020. Higher leaf area through leaf width and lower leaf angle were the primary morphological traits for yield advantage of japonica/indica hybrids. J Integr Agric, 19(2): 483-494. |
| [35] | Yang C, Yang D S, Xiang H S, et al. 2025. Varietal improvement is a feasible approach for achieving high yield and superior quality simultaneously in ratoon rice. Field Crops Res, 322: 109772. |
| [36] | Yang D Q, Cai T, Luo Y L, et al. 2019. Optimizing plant density and nitrogen application to manipulate tiller growth and increase grain yield and nitrogen-use efficiency in winter wheat. PeerJ, 7: e6484. |
| [37] | Yang G T, Wang X C, Nabi F, et al. 2021. Optimizing planting density and impact of panicle types on grain yield and microclimatic response index of hybrid rice (Oryza sativa L.). Int J Plant Prod, 15(3): 447-457. |
| [38] | Yang J R, Yang K, Lv C H, et al. 2023. Effects of moderate water deficit on the accumulation and translocation of stem non-structural carbohydrates, yield and yield components in a sink-limited rice variety under elevated CO2 concentration. J Plant Growth Regul, 42(7): 4350-4359. |
| [39] | Yang L S, Lakshmanan P, Tu D B, et al. 2025. Co-benefits of yield and nitrogen use efficiency gains through combined use of controlled-release urea and conventional urea in rice. Food Energy Secur, 14(1): e70043. |
| [40] | Yao F X, Huang J L, Cui K H, et al. 2012. Agronomic performance of high-yielding rice variety grown under alternate wetting and drying irrigation. Field Crops Res, 126: 16-22. |
| [41] | Ye M, Wang Z Y, Wu M, et al. 2024. Optimized leaf anatomy improves photosynthetic producing capacity of mid-season indica rice in the Yangtze River Basin during the genetic improvement. Eur J Agron, 158: 127196. |
| [42] | Yuan S, Stuart A M, Laborte A G, et al. 2022. Southeast Asia must narrow down the yield gap to continue to be a major rice bowl. Nat Food, 3(3): 217-226. |
| [43] | Zhang H, Jing W J, Zhao B H, et al. 2021. Alternative fertilizer and irrigation practices improve rice yield and resource use efficiency by regulating source-sink relationships. Field Crops Res, 265: 108124. |
| [44] | Zhang H W, Jiang S C, Du B, et al. 2023. Tillage intensity and planting density significantly affected photosynthesis, growth, and yield of rice. J Plant Growth Regul, 42(4): 2662-2671. |
| [45] | Zhao Y, Guo B, Liu Z L, et al. 2024. A meta-analysis of elevated O3 effects on herbaceous plants antioxidant oxidase activity. PLoS One, 19(6): e0305688. |
| [46] | Zhu X C, Zhang J, Zhang Z P, et al. 2016. Dense planting with less basal nitrogen fertilization might benefit rice cropping for high yield with less environmental impacts. Eur J Agron, 75: 50-59. |
| [47] | Zhuang G D, Mai Y M, Ren Y, et al. 2025. Titanium dioxide nanoparticles regulate the growth, antioxidant response, and photosynthetic pigments in fragrant rice seedlings under different light and nitrogen levels. J Plant Growth Regul, 44(5): 2213-2234. |
| [48] | Zou Y, Hassan M A, Xu E D, et al. 2024. Evaluation of breeding progress and agronomic traits for japonica rice in Anhui Province, China (2005-2024). Agronomy, 14(12): 2957. |
| [1] | Pattanapong Jaisue, Chalongrat Daengngam, Panuwat Pengphorm, Surapa Nutthapornnitchakul, Sompop Pinit, Lompong Klinnawee. Enhanced Chlorophyll Accumulation is Early Response of Rice to Phosphorus Deficiency [J]. Rice Science, 2025, 32(6): 831-844. |
| [2] | Fazli Hameed, Shah Fahad Rahim, Anis Ur Rehman Khalil, Ram L. Ray, Xu Junzeng, Alhaj Yousef Hamoud, Akhtar Ali, Ning Tangyuan. Comparing Genotype and Climate Change Effects on Simulated Historical Rice Yields Using AquaCrop [J]. Rice Science, 2025, 32(6): 845-856. |
| [3] | Ayaz Ahmad, Cheng Mingxing, Guo Yu, Luo Xiong, Yang Zihan, Liu Manman, Yuan Huanran, Li Qiancheng, Li Shaoqing, Fan Fengfeng. Identification and Characterization of WAKg Genes Involved in Rice Disease Resistance and Yield [J]. Rice Science, 2025, 32(5): 673-684. |
| [4] | Zhou Lin, Jiang Hong, Huang Long, Li Ziang, Yao Zhonghao, Li Linhan, Ji Kangwei, Li Yijie, Tang Haijuan, Cheng Jinping, Bao Yongmei, Huang Ji, Zhang Hongsheng, Chen Sunlu. Genome-Wide Association Study of Brown Rice Weight Identifies an RNA-Binding Protein Antagonistically Regulating Grain Weight and Panicle Number [J]. Rice Science, 2025, 32(4): 525-536. |
| [5] | Nie Lixiao, Guo Xiayu, Wang Weiqin, Qi Yucheng, Ai Zhiyong, He Aibin. Regulation of Regeneration Rate to Enhance Ratoon Rice Production [J]. Rice Science, 2025, 32(2): 177-192. |
| [6] | He Chen, Ruan Yunze, Jia Zhongjun. A Meta-Analysis of 30 Years in China and Micro-District Experiments Shows Organic Fertilizer Quantification Combined with Chemical Fertilizer Reduction Enhances Rice Yield on Saline-Alkali Land [J]. Rice Science, 2025, 32(2): 259-272. |
| [7] | Fu Yiwei, Wu Jiayelu, Wu Mingming, Ye Shenghai, Zhai Rongrong, Ye Jing, Zhu Guofu, Yu Faming, Lu Yanting, Zhang Xiaoming. Progress on Molecular Mechanism of Heat Tolerance in Rice [J]. Rice Science, 2024, 31(6): 673-687. |
| [8] | Ren Jian, Hu Kelin, Feng Puyu, William D. Batchelor, Liu Haitao, Lü Shihua. Simulating Responses of Rice Yield and Nitrogen Fates to Ground Cover Rice Production System under Different Types of Precipitation Years [J]. Rice Science, 2024, 31(6): 725-739. |
| [9] | Zhang Youliang, Zhu Kaican, Tang Yongqi, Feng Shaoyuan. Rice Cultivation under Film Mulching Can Improve Soil Environment and Be Beneficial for Rice Production in China [J]. Rice Science, 2024, 31(5): 545-555. |
| [10] | Hou Xinyue, Wang Yuping, Qian Qian, Ren Deyong. Molecular Mechanism of Rice Necrotic Lesion for Optimized Yield and Disease Resistance [J]. Rice Science, 2024, 31(3): 285-299. |
| [11] | Hong Weiyuan, Duan Meiyang, Wang Yifei, Chen Yongjian, Mo Zhaowen, Qi Jianying, Pan Shenggang, Tang Xiangru. Enriching Iodine and Regulating Grain Aroma, Appearance Quality, and Yield in Aromatic Rice by Foliar Application of Sodium Iodide [J]. Rice Science, 2024, 31(3): 328-342. |
| [12] | Ji Dongling, Xiao Wenhui, Sun Zhiwei, Liu Lijun, Gu Junfei, Zhang Hao, Matthew Tom Harrison, Liu Ke, Wang Zhiqin, Wang Weilu. Translocation and Distribution of Carbon-Nitrogen in Relation to Rice Yield and Grain Quality as Affected by High Temperature at Early Panicle Initiation Stage [J]. Rice Science, 2023, 30(6): 598-612. |
| [13] | Lu Xuedan, Li Fan, Xiao Yunhua, Wang Feng, Zhang Guilian, Deng Huabing, Tang Wenbang. Grain Shape Genes: Shaping the Future of Rice Breeding [J]. Rice Science, 2023, 30(5): 379-404. |
| [14] | Jiang Hongzhen, Wang Yamei, Lai Liuru, Liu Xintong, Miao Changjian, Liu Ruifang, Li Xiaoyun, Tan Jinfang, Gao Zhenyu, Chen Jingguang. OsAMT1.1 Expression by Nitrate-Inducible Promoter of OsNAR2.1 Increases Nitrogen Use Efficiency and Rice Yield [J]. Rice Science, 2023, 30(3): 222-234. |
| [15] | Zhou Longfei, Meng Ran, Yu Xing, Liao Yigui, Huang Zehua, Lü Zhengang, Xu Binyuan, Yang Guodong, Peng Shaobing, Xu Le. Improved Yield Prediction of Ratoon Rice Using Unmanned Aerial Vehicle-Based Multi-Temporal Feature Method [J]. Rice Science, 2023, 30(3): 247-256. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||