Rice Science ›› 2022, Vol. 29 ›› Issue (5): 473-488.DOI: 10.1016/j.rsci.2022.07.007
• Research Paper • Previous Articles Next Articles
Yousef Alhaj Hamoud1, Hiba Shaghaleh2, Wang Ruke1, Willy Franz Gouertoumbo1, Amar Ali Adam hamad1, Mohamed Salah Sheteiwy3, Wang Zhenchang1, Guo Xiangping1()
Received:
2021-12-08
Accepted:
2022-03-30
Online:
2022-09-28
Published:
2022-07-04
Contact:
Guo Xiangping
Yousef Alhaj Hamoud, Hiba Shaghaleh, Wang Ruke, Willy Franz Gouertoumbo, Amar Ali Adam hamad, Mohamed Salah Sheteiwy, Wang Zhenchang, Guo Xiangping. Wheat Straw Burial Improves Physiological Traits, Yield and Grain Quality of Rice by Regulating Antioxidant System and Nitrogen Assimilation Enzymes under Alternate Wetting and Drying Irrigation[J]. Rice Science, 2022, 29(5): 473-488.
Add to citation manager EndNote|Ris|BibTeX
Treatment | pH | Eh (mV) | TN content (mg/kg) | EOC content (g/kg) | TOC content (g/kg) | DOC content (mg/kg) |
---|---|---|---|---|---|---|
AWMD × NSB | 5.67 Ca | 41.63 Ca | 26.57 Ac | 2.19 Ab | 12.39 Ab | 219.8 Ab |
AWMD × LSB | 5.49 Ca | 35.27 Ca | 36.37 Ab | 5.07 Aa | 14.42 Aa | 311.6 Ab |
AWMD × DSB | 5.22 Cb | 27.81 Cb | 49.97 Aa | 6.70 Aa | 16.42 Aa | 383.9 Aa |
AWSD × NSB | 7.09 Ba | 123.87 Ba | 23.13 Bb | 2.01 Bb | 12.09 Bb | 186.1 Bb |
AWSD × LSB | 6.73 Ba | 106.50 Ba | 29.87 Bb | 4.06 Ba | 13.56 Bb | 314.2 Ba |
AWSD × DSB | 6.43 Bb | 87.85 Bb | 40.70 Ba | 5.35 Ba | 16.07 Ba | 322.0 Ba |
AWCD × NSB | 7.58 Aa | 312.67 Aa | 13.20 Cb | 1.72 Cc | 11.50 Cb | 168.6 Cc |
AWCD × LSB | 7.28 Aa | 291.10 Aa | 19.87 Cb | 2.94 Cb | 13.45 Ca | 220.4 Cb |
AWCD × DSB | 7.03 Ab | 248.30 Ab | 26.33 Ca | 3.46 Ca | 14.62 Ca | 285.6 Ca |
AWD irrigation | * | ** | * | ** | * | * |
Straw burial | *** | *** | ** | *** | *** | * |
AWD × Straw | ns | * | ** | * | ** | *** |
Table 1. Function of different water regimes and straw burial rates on soil chemical environmental parameters in root-zone.
Treatment | pH | Eh (mV) | TN content (mg/kg) | EOC content (g/kg) | TOC content (g/kg) | DOC content (mg/kg) |
---|---|---|---|---|---|---|
AWMD × NSB | 5.67 Ca | 41.63 Ca | 26.57 Ac | 2.19 Ab | 12.39 Ab | 219.8 Ab |
AWMD × LSB | 5.49 Ca | 35.27 Ca | 36.37 Ab | 5.07 Aa | 14.42 Aa | 311.6 Ab |
AWMD × DSB | 5.22 Cb | 27.81 Cb | 49.97 Aa | 6.70 Aa | 16.42 Aa | 383.9 Aa |
AWSD × NSB | 7.09 Ba | 123.87 Ba | 23.13 Bb | 2.01 Bb | 12.09 Bb | 186.1 Bb |
AWSD × LSB | 6.73 Ba | 106.50 Ba | 29.87 Bb | 4.06 Ba | 13.56 Bb | 314.2 Ba |
AWSD × DSB | 6.43 Bb | 87.85 Bb | 40.70 Ba | 5.35 Ba | 16.07 Ba | 322.0 Ba |
AWCD × NSB | 7.58 Aa | 312.67 Aa | 13.20 Cb | 1.72 Cc | 11.50 Cb | 168.6 Cc |
AWCD × LSB | 7.28 Aa | 291.10 Aa | 19.87 Cb | 2.94 Cb | 13.45 Ca | 220.4 Cb |
AWCD × DSB | 7.03 Ab | 248.30 Ab | 26.33 Ca | 3.46 Ca | 14.62 Ca | 285.6 Ca |
AWD irrigation | * | ** | * | ** | * | * |
Straw burial | *** | *** | ** | *** | *** | * |
AWD × Straw | ns | * | ** | * | ** | *** |
Fig. 1. Root physiological traits affected by straw burial rate and alternate wetting and drying (AWD) regime. A?D, Root active adsorption area (RAAA) (A), root nitrate reductase activity (RNR) (B), root oxidative activity (ROA) (C), and aerenchyma percentage (D) under the treatments of wheat straw burial rate and AWD regime. AWMD, Alternate wetting/moderate drying; AWSD, Alternate wetting/severe drying; AWCD, Alternate wetting/critical drying; NSB, Without straw burial; LSB, Light straw burial; DSB, Dense straw burial. Data are Mean ± SE (n = 3). At each period, the means are significantly different among different AWD regimes (P ≤ 0.05) when followed by different uppercase letters above the bars. Under the same AWD regime, the means are significantly different among different straw burial rates (P ≤ 0.05) when followed by different lowercase letters above the bars.
Treatment | Plant height after a range of growth periods after transplanting (cm) | Number of tillers per m2 | ||||||
---|---|---|---|---|---|---|---|---|
20 d | 30 d | 40 d | 50 d | 70 d | 90 d | Harvest | ||
AWMD × NSB | 23.88 Ab | 32.00 Ab | 36.70 Ab | 49.14 Ab | 68.23 Ab | 66.48 Ab | 66.90 Ab | 1 312.04 Ac |
AWMD × LSB | 24.63 Ab | 39.63 Ab | 40.40 Ab | 65.79 Aa | 75.30 Aa | 74.18 Aa | 73.50 Aa | 1 600.96 Ab |
AWMD × DSB | 36.73 Aa | 52.30 Aa | 53.70 Aa | 76.87 Aa | 85.70 Aa | 82.97 Aa | 82.27 Aa | 1 889.89 Aa |
AWSD × NSB | 17.05 Bb | 29.60 Bb | 28.40 Bb | 38.20 Bc | 55.47 Bc | 53.53 Bc | 52.83 Bb | 1 156.67 Bc |
AWSD × LSB | 27.42 Ba | 37.00 Ba | 42.00 Ba | 50.60 Bb | 70.87 Bb | 67.50 Bb | 68.20 Ba | 1 345.48 Bb |
AWSD × DSB | 30.47 Ba | 43.77 Ba | 47.80 Ba | 66.94 Ba | 80.95 Ba | 80.93 Ba | 75.80 Ba | 1 723.11 Ba |
AWCD × NSB | 13.28 Cb | 21.53 Ca | 24.33 Cb | 27.97 Cb | 47.73 Cb | 46.80 Cb | 48.10 Cb | 972.33 Cb |
AWCD × LSB | 19.00 Ca | 26.43 Ca | 32.80 Ca | 37.17 Ca | 63.03 Ca | 57.53 Ca | 56.87 Ca | 1 201.07 Ca |
AWCD × DSB | 20.53 Ca | 26.67 Ca | 35.20 Ca | 40.17 Ca | 67.43 Ca | 63.12 Ca | 60.03 Ca | 1 289.89 Ca |
AWD irrigation | * | * | ** | ** | * | * | * | * |
Straw burial | ** | *** | *** | *** | ** | * | ** | *** |
AWD × Straw | ** | ns | * | * | ** | *** | ** | ** |
Table 2. Effects of AWD regime and straw burial rate on plant height and tiller number at different treatments.
Treatment | Plant height after a range of growth periods after transplanting (cm) | Number of tillers per m2 | ||||||
---|---|---|---|---|---|---|---|---|
20 d | 30 d | 40 d | 50 d | 70 d | 90 d | Harvest | ||
AWMD × NSB | 23.88 Ab | 32.00 Ab | 36.70 Ab | 49.14 Ab | 68.23 Ab | 66.48 Ab | 66.90 Ab | 1 312.04 Ac |
AWMD × LSB | 24.63 Ab | 39.63 Ab | 40.40 Ab | 65.79 Aa | 75.30 Aa | 74.18 Aa | 73.50 Aa | 1 600.96 Ab |
AWMD × DSB | 36.73 Aa | 52.30 Aa | 53.70 Aa | 76.87 Aa | 85.70 Aa | 82.97 Aa | 82.27 Aa | 1 889.89 Aa |
AWSD × NSB | 17.05 Bb | 29.60 Bb | 28.40 Bb | 38.20 Bc | 55.47 Bc | 53.53 Bc | 52.83 Bb | 1 156.67 Bc |
AWSD × LSB | 27.42 Ba | 37.00 Ba | 42.00 Ba | 50.60 Bb | 70.87 Bb | 67.50 Bb | 68.20 Ba | 1 345.48 Bb |
AWSD × DSB | 30.47 Ba | 43.77 Ba | 47.80 Ba | 66.94 Ba | 80.95 Ba | 80.93 Ba | 75.80 Ba | 1 723.11 Ba |
AWCD × NSB | 13.28 Cb | 21.53 Ca | 24.33 Cb | 27.97 Cb | 47.73 Cb | 46.80 Cb | 48.10 Cb | 972.33 Cb |
AWCD × LSB | 19.00 Ca | 26.43 Ca | 32.80 Ca | 37.17 Ca | 63.03 Ca | 57.53 Ca | 56.87 Ca | 1 201.07 Ca |
AWCD × DSB | 20.53 Ca | 26.67 Ca | 35.20 Ca | 40.17 Ca | 67.43 Ca | 63.12 Ca | 60.03 Ca | 1 289.89 Ca |
AWD irrigation | * | * | ** | ** | * | * | * | * |
Straw burial | ** | *** | *** | *** | ** | * | ** | *** |
AWD × Straw | ** | ns | * | * | ** | *** | ** | ** |
Treatment | Stem diameter at different parts (mm) | Stem length at different parts (cm) | Total stem length (cm) | |||||
---|---|---|---|---|---|---|---|---|
Upper | Middle | Lower | Upper | Middle | Lower | |||
AWMD × NSB | 3.35 Ab | 4.47 Ab | 4.68 Ab | 15.67 Ab | 16.20 Ab | 19.03 Ab | 50.90 Ab | |
AWMD × LSB | 3.48 Ab | 4.78 Ab | 4.91 Ab | 18.70 Aa | 17.10 Aa | 22.60 Aa | 58.40 Aa | |
AWMD × DSB | 4.28 Aa | 5.70 Aa | 6.04 Aa | 20.73 Aa | 18.90 Aa | 24.10 Aa | 63.73 Aa | |
AWSD × NSB | 3.20 Ba | 4.26 Bb | 4.48 Bb | 14.90 Bb | 15.10 Bb | 17.94 Bb | 47.93 Bb | |
AWSD × LSB | 3.41 Ba | 4.60 Ba | 4.73 Ba | 16.67 Bb | 17.23 Ba | 19.53 Bb | 53.43 Bb | |
AWSD × DSB | 3.77 Ba | 5.07 Ba | 5.09 Ba | 19.97 Ba | 17.00 Ba | 23.27 Ba | 60.23 Ba | |
AWCD × NSB | 2.79 Cb | 3.63 Cb | 4.18 Ca | 11.47 Cc | 10.83 Cc | 13.00 Cc | 36.97 Cb | |
AWCD × LSB | 3.01 Ca | 3.86 Cb | 4.24 Ca | 15.27 Cb | 14.73 Cb | 17.83 Cb | 47.77 Ca | |
AWCD × DSB | 3.06 Ca | 4.01 Ca | 4.26 Ca | 17.44 Ca | 17.61 Ca | 20.74 Ca | 54.43 Ca | |
AWD irrigation | * | * | * | * | ** | ** | * | |
Straw burial | ** | * | ** | *** | *** | *** | *** | |
AWD × Straw | ns | *** | ** | ns | * | * | ** |
Table 3. Effects of AWD regime and straw burial rate on stem diameter and stem length at different treatments.
Treatment | Stem diameter at different parts (mm) | Stem length at different parts (cm) | Total stem length (cm) | |||||
---|---|---|---|---|---|---|---|---|
Upper | Middle | Lower | Upper | Middle | Lower | |||
AWMD × NSB | 3.35 Ab | 4.47 Ab | 4.68 Ab | 15.67 Ab | 16.20 Ab | 19.03 Ab | 50.90 Ab | |
AWMD × LSB | 3.48 Ab | 4.78 Ab | 4.91 Ab | 18.70 Aa | 17.10 Aa | 22.60 Aa | 58.40 Aa | |
AWMD × DSB | 4.28 Aa | 5.70 Aa | 6.04 Aa | 20.73 Aa | 18.90 Aa | 24.10 Aa | 63.73 Aa | |
AWSD × NSB | 3.20 Ba | 4.26 Bb | 4.48 Bb | 14.90 Bb | 15.10 Bb | 17.94 Bb | 47.93 Bb | |
AWSD × LSB | 3.41 Ba | 4.60 Ba | 4.73 Ba | 16.67 Bb | 17.23 Ba | 19.53 Bb | 53.43 Bb | |
AWSD × DSB | 3.77 Ba | 5.07 Ba | 5.09 Ba | 19.97 Ba | 17.00 Ba | 23.27 Ba | 60.23 Ba | |
AWCD × NSB | 2.79 Cb | 3.63 Cb | 4.18 Ca | 11.47 Cc | 10.83 Cc | 13.00 Cc | 36.97 Cb | |
AWCD × LSB | 3.01 Ca | 3.86 Cb | 4.24 Ca | 15.27 Cb | 14.73 Cb | 17.83 Cb | 47.77 Ca | |
AWCD × DSB | 3.06 Ca | 4.01 Ca | 4.26 Ca | 17.44 Ca | 17.61 Ca | 20.74 Ca | 54.43 Ca | |
AWD irrigation | * | * | * | * | ** | ** | * | |
Straw burial | ** | * | ** | *** | *** | *** | *** | |
AWD × Straw | ns | *** | ** | ns | * | * | ** |
Fig. 2. Shoot physiological traits affected by straw burial rate and alternate wetting and drying (AWD) regime. A?F, Photosynthesis rate (Pn) (A), stomatal conductance (gs) (B), relative water content (RWC) (C), hydrogen peroxide (H2O2) content (D), superoxide anion radical (O2·?) content (E), and hydroxyl ion (OH-) content (F) respond to the variations in AWD regimes and straw burial rates at the different growth stages. AWMD, Alternate wetting/moderate drying; AWSD, Alternate wetting/severe drying; AWCD, Alternate wetting/critical drying; NSB, Without straw burial; LSB, Light straw burial; DSB, Dense straw burial. =Data are Mean ± SE (n = 3). At each period, the means are significantly different among different AWD regimes (P ≤ 0.05) when followed by different uppercase letters above the bars. Under the same AWD regime, the means are significantly different among different straw burial rates (P ≤ 0.05) when followed by different lowercase letters above the bars.
Treatment | Soluble protein (mg/g) | Nitrate reductase activity [µg/(g∙h)] | ||||||
---|---|---|---|---|---|---|---|---|
30 DAT | 60 DAT | 90 DAT | Heading | Pre-flowering | Flowering | Post-flowering | ||
AWMD × NSB | 3.93 Ab | 6.11 Aa | 7.54 Ab | 11.18 Ab | 33.91 Ab | 37.37 Ab | 14.28 Ab | |
AWMD × LSB | 5.20 Aa | 6.68 Aa | 8.79 Aa | 12.09 Aa | 38.51 Aa | 39.83 Aa | 16.32 Aa | |
AWMD × DSB | 5.52 Aa | 6.90 Aa | 8.94 Aa | 12.52 Aa | 40.18 Aa | 43.43 Aa | 18.63 Aa | |
AWSD × NSB | 2.66 Bb | 5.34 Bb | 6.53 Bb | 10.21 Bb | 32.79 Bb | 34.45 Bb | 10.87 Bb | |
AWSD × LSB | 4.42 Ba | 6.39 Ba | 8.08 Ba | 11.48 Ba | 38.40 Ba | 38.14 Ba | 13.53 Ba | |
AWSD × DSB | 4.91 Ba | 6.70 Ba | 8.83 Ba | 11.93 Ba | 38.51 Ba | 40.23 Ba | 15.92 Ba | |
AWCD × NSB | 1.16 Cb | 3.91 Cb | 5.20 Cb | 9.21 Cb | 29.71 Cb | 30.07 Cb | 4.40 Ca | |
AWCD × LSB | 3.02 Ca | 4.87 Ca | 6.33 Ca | 10.04 Ca | 32.02 Ca | 33.39 Ca | 7.61 Cb | |
AWCD × DSB | 3.49 Ca | 5.41 Ca | 7.09 Ca | 10.61 Ca | 35.59 Ca | 35.61 Ca | 9.14 Ca | |
AWD irrigation | * | ** | ** | * | * | ** | ** | |
Straw burial | ** | * | *** | *** | * | *** | *** | |
AWD × Straw | ns | *** | * | ** | *** | * | * |
Table 4. Effects of AWD regime and straw burial rate on soluble protein and nitrate reductase activity at different treatments.
Treatment | Soluble protein (mg/g) | Nitrate reductase activity [µg/(g∙h)] | ||||||
---|---|---|---|---|---|---|---|---|
30 DAT | 60 DAT | 90 DAT | Heading | Pre-flowering | Flowering | Post-flowering | ||
AWMD × NSB | 3.93 Ab | 6.11 Aa | 7.54 Ab | 11.18 Ab | 33.91 Ab | 37.37 Ab | 14.28 Ab | |
AWMD × LSB | 5.20 Aa | 6.68 Aa | 8.79 Aa | 12.09 Aa | 38.51 Aa | 39.83 Aa | 16.32 Aa | |
AWMD × DSB | 5.52 Aa | 6.90 Aa | 8.94 Aa | 12.52 Aa | 40.18 Aa | 43.43 Aa | 18.63 Aa | |
AWSD × NSB | 2.66 Bb | 5.34 Bb | 6.53 Bb | 10.21 Bb | 32.79 Bb | 34.45 Bb | 10.87 Bb | |
AWSD × LSB | 4.42 Ba | 6.39 Ba | 8.08 Ba | 11.48 Ba | 38.40 Ba | 38.14 Ba | 13.53 Ba | |
AWSD × DSB | 4.91 Ba | 6.70 Ba | 8.83 Ba | 11.93 Ba | 38.51 Ba | 40.23 Ba | 15.92 Ba | |
AWCD × NSB | 1.16 Cb | 3.91 Cb | 5.20 Cb | 9.21 Cb | 29.71 Cb | 30.07 Cb | 4.40 Ca | |
AWCD × LSB | 3.02 Ca | 4.87 Ca | 6.33 Ca | 10.04 Ca | 32.02 Ca | 33.39 Ca | 7.61 Cb | |
AWCD × DSB | 3.49 Ca | 5.41 Ca | 7.09 Ca | 10.61 Ca | 35.59 Ca | 35.61 Ca | 9.14 Ca | |
AWD irrigation | * | ** | ** | * | * | ** | ** | |
Straw burial | ** | * | *** | *** | * | *** | *** | |
AWD × Straw | ns | *** | * | ** | *** | * | * |
Fig. 3. SOD (A), CAT (B) and GS (C) activities, as well as MDA content (D), in leaf tissues affected by straw burial rate and alternate wetting and drying (AWD) regime. AWMD, Alternate wetting/moderate drying; AWSD, Alternate wetting/severe drying; AWCD, Alternate wetting/critical drying; NSB, Without straw burial; LSB, Light straw burial; DSB, Dense straw burial; SOD, Superoxide dismutase; CAT, Catalase; GS, Glutamine synthetase; MDA, Malondialdehyde. Data are Mean ± SE (n = 3). At each period, the means are significantly different among different AWD regimes (P ≤ 0.05) when followed by different uppercase letters above the bars. Under the same AWD regime, the means are significantly different among different straw burial rates (P ≤ 0.05) when followed by different lowercase letters above the bars.
Fig. 4. Number of panicles per m2 (A), panicle length (B), grain filling rate (C), 1000-grain weight (D), grain yield (E) and total biomass (F) as affected by straw burial rate and water regime. AWMD, Alternate wetting/moderate drying; AWSD, Alternate wetting/severe drying; AWCD, Alternate wetting/critical drying; NSB, Without straw burial; LSB, Light straw burial; DSB, Dense straw burial; AWD, Alternate wetting and drying. Data are Mean ± SE (n = 3). The means are significantly different among different AWD regimes (P ≤ 0.05) when followed by different uppercase letters above the bars. Under the same AWD regime, the means are significantly different among different straw burial rates (P ≤ 0.05) when followed by different lowercase letters above the bars.
Treatment | Brown rice rate | Milled rice rate | Head rice rate | Amylose content | Protein content | Chalkiness degree |
---|---|---|---|---|---|---|
AWMD × NSB | 71.8 ± 2.0 Ab | 67.4 ± 2.2 Ab | 60.0 ± 1.8 Ab | 9.6 ± 0.1 Ab | 8.4 ± 0.1 Aa | 5.0 ± 0.2 Ca |
AWMD × LSB | 78.5 ± 1.9 Aa | 72.2 ± 2.1 Aa | 63.8 ± 3.3 Aa | 14.8 ± 0.7 Aa | 9.6 ± 0.2 Aa | 4.6 ± 0.2 Cb |
AWMD × DSB | 86.6 ± 3.1 Aa | 79.5 ± 2.3 Aa | 67.5 ± 2.4 Aa | 16.5 ± 0.5 Aa | 10.7 ± 0.4 Aa | 3.8 ± 0.1 Cc |
AWSD × NSB | 70.9 ± 2.6 Bb | 67.1 ± 2.2 Bb | 58.9 ± 2.1 Ba | 7.7 ± 0.1 Bb | 8.0 ± 0.2 Ba | 5.5 ± 0.2 Ba |
AWSD × LSB | 77.5 ± 2.7 Ba | 72.0 ± 1.6 Ba | 61.4 ± 2.5 Ba | 11.9 ± 0.3 Bb | 8.8 ± 0.2 Bb | 5.0 ± 0.1 Ba |
AWSD × DSB | 80.0 ± 2.2 Ba | 72.9 ± 3.2 Ba | 63.8 ± 2.2 Ba | 15.3 ± 0.4 Ba | 9.7 ± 0.1 Bb | 4.0 ± 0.2 Bb |
AWCD × NSB | 70.3 ± 2.1 Cb | 62.6 ± 2.9 Ca | 54.2 ± 3.7 Ca | 5.2 ± 0.2 Cb | 7.0 ± 0.3 Cd | 5.9 ± 0.2 Aa |
AWCD × LSB | 74.5 ± 2.3 Ca | 69.3 ± 3.2 Ca | 61.2 ± 3.2 Ca | 9.8 ± 0.2 Ca | 8.6 ± 0.2 Cc | 5.6 ± 0.3 Aa |
AWCD × DSB | 75.8 ± 1.9 Ca | 69.5 ± 1.5 Ca | 61.6 ± 1.4 Ca | 10.7 ± 0.5 Ca | 9.5 ± 0.3 Cc | 4.5 ± 0.2 Ab |
AWD irrigation | * | * | * | ** | *** | * |
Straw burial | *** | ** | *** | * | *** | *** |
AWD × Straw | *** | * | * | ** | *** | ** |
Table 5. Effects of water regime and straw burial rate on grain quality indicators of rice at different treatments. %
Treatment | Brown rice rate | Milled rice rate | Head rice rate | Amylose content | Protein content | Chalkiness degree |
---|---|---|---|---|---|---|
AWMD × NSB | 71.8 ± 2.0 Ab | 67.4 ± 2.2 Ab | 60.0 ± 1.8 Ab | 9.6 ± 0.1 Ab | 8.4 ± 0.1 Aa | 5.0 ± 0.2 Ca |
AWMD × LSB | 78.5 ± 1.9 Aa | 72.2 ± 2.1 Aa | 63.8 ± 3.3 Aa | 14.8 ± 0.7 Aa | 9.6 ± 0.2 Aa | 4.6 ± 0.2 Cb |
AWMD × DSB | 86.6 ± 3.1 Aa | 79.5 ± 2.3 Aa | 67.5 ± 2.4 Aa | 16.5 ± 0.5 Aa | 10.7 ± 0.4 Aa | 3.8 ± 0.1 Cc |
AWSD × NSB | 70.9 ± 2.6 Bb | 67.1 ± 2.2 Bb | 58.9 ± 2.1 Ba | 7.7 ± 0.1 Bb | 8.0 ± 0.2 Ba | 5.5 ± 0.2 Ba |
AWSD × LSB | 77.5 ± 2.7 Ba | 72.0 ± 1.6 Ba | 61.4 ± 2.5 Ba | 11.9 ± 0.3 Bb | 8.8 ± 0.2 Bb | 5.0 ± 0.1 Ba |
AWSD × DSB | 80.0 ± 2.2 Ba | 72.9 ± 3.2 Ba | 63.8 ± 2.2 Ba | 15.3 ± 0.4 Ba | 9.7 ± 0.1 Bb | 4.0 ± 0.2 Bb |
AWCD × NSB | 70.3 ± 2.1 Cb | 62.6 ± 2.9 Ca | 54.2 ± 3.7 Ca | 5.2 ± 0.2 Cb | 7.0 ± 0.3 Cd | 5.9 ± 0.2 Aa |
AWCD × LSB | 74.5 ± 2.3 Ca | 69.3 ± 3.2 Ca | 61.2 ± 3.2 Ca | 9.8 ± 0.2 Ca | 8.6 ± 0.2 Cc | 5.6 ± 0.3 Aa |
AWCD × DSB | 75.8 ± 1.9 Ca | 69.5 ± 1.5 Ca | 61.6 ± 1.4 Ca | 10.7 ± 0.5 Ca | 9.5 ± 0.3 Cc | 4.5 ± 0.2 Ab |
AWD irrigation | * | * | * | ** | *** | * |
Straw burial | *** | ** | *** | * | *** | *** |
AWD × Straw | *** | * | * | ** | *** | ** |
Fig. 5. Comprehensive model showing mechanism by which integration of alternate wetting/moderate drying (AWMD) and subsoil straw burial can improve rice growth and grain yield. A plus symbol above the arrows indicates an increase, whereas a minus symbol above the arrows indicates a reduction. EOC, Easily oxidizable carbon; DOC, Dissolved organic carbon; TOC, Total organic carbon; Eh, Redox potential; NiR, Nitrite reductase; NR, Nitrate reductase; SOD, Superoxide dismutase; CAT, Catalase; RAAA, Root active adsorption area; RNR, Root nitrate reductase activity; ROA, Root oxidative activity; ROS, Reactive oxygen species; N, Nitrogen.
Parameter | April | May | June | July | August | September | October | November |
---|---|---|---|---|---|---|---|---|
Maximum temperature (ºC) | 29.1 | 30.7 | 31.8 | 32.1 | 39.3 | 29.8 | 27.4 | 26.1 |
Minimum temperature (ºC) | 20.5 | 18.4 | 20.9 | 22.5 | 28.5 | 16.7 | 12.9 | 12.5 |
Maximum relative humidity (%) | 90.0 | 95.0 | 84.5 | 100.0 | 84.5 | 88.8 | 73.8 | 73.0 |
Minimum relative humidity (%) | 64.3 | 68.3 | 61.9 | 68.3 | 61.9 | 67.5 | 66.5 | 65.3 |
Sunshine (h) | 8.0 | 8.0 | 9.0 | 11.0 | 11.0 | 9.0 | 7.0 | 7.0 |
Solar radiation [MJ/(m2∙d)] | 87.5 | 96.3 | 113.6 | 96.5 | 113.2 | 78.0 | 72.8 | 66.5 |
Table 6. Monthly mean humidity, temperature, sunshine and solar radiation throughout the season in Nanjing, China in 2020.
Parameter | April | May | June | July | August | September | October | November |
---|---|---|---|---|---|---|---|---|
Maximum temperature (ºC) | 29.1 | 30.7 | 31.8 | 32.1 | 39.3 | 29.8 | 27.4 | 26.1 |
Minimum temperature (ºC) | 20.5 | 18.4 | 20.9 | 22.5 | 28.5 | 16.7 | 12.9 | 12.5 |
Maximum relative humidity (%) | 90.0 | 95.0 | 84.5 | 100.0 | 84.5 | 88.8 | 73.8 | 73.0 |
Minimum relative humidity (%) | 64.3 | 68.3 | 61.9 | 68.3 | 61.9 | 67.5 | 66.5 | 65.3 |
Sunshine (h) | 8.0 | 8.0 | 9.0 | 11.0 | 11.0 | 9.0 | 7.0 | 7.0 |
Solar radiation [MJ/(m2∙d)] | 87.5 | 96.3 | 113.6 | 96.5 | 113.2 | 78.0 | 72.8 | 66.5 |
[1] | Abiko T, Obara M. 2014. Enhancement of porosity and aerenchyma formation in nitrogen-deficient rice roots. Plant Sci, 215/216: 76-83. |
[2] | Al Aasmi A, Li J H, Hamoud Y A, Lan Y B, Alordzinu K E, Appiah S A, Shaghaleh H, Sheteiwy M, Wang H, Qiao S Y, Yu C R. 2022. Impacts of slow-release nitrogen fertilizer rates on the morpho-physiological traits, yield, and nitrogen use efficiency of rice under different water regimes. Agriculture, 12(1): 86. |
[3] | Alfadil A A, Shaghaleh H, Alhaj Hamoud Y, Xia J H, Wu T A, Hamad A A A, Wang Y T, Oumarou Abdoulaye A, Sheteiwy M S. 2021. Straw biochar-induced modification of the soil physical properties enhances growth, yield and water productivity of maize under deficit irrigation. Commun Soil Sci Plant Anal, 52(16): 1954-1970. |
[4] | Alhaj Hamoud Y, Guo X P, Wang Z C, Chen S, Rasool G. 2018. Effects of irrigation water regime, soil clay content and their combination on growth, yield, and water use efficiency of rice grown in South China. Int J Agric Biol Eng, 11(4): 126-136. |
[5] | Alhaj Hamoud Y, Guo X P, Wang Z C, Shaghaleh H, Chen S, Hassan A, Bakour A. 2019a. Effects of irrigation regime and soil clay content and their interaction on the biological yield, nitrogen uptake and nitrogen-use efficiency of rice grown in Southern China. Agric Water Manag, 213: 934-946. |
[6] | Alhaj Hamoud Y, Shaghaleh H, Sheteiwy M, Guo X P, Elshaikh N A, Ullah Khan N, Oumarou A, Rahim S F. 2019b. Impact of alternative wetting and soil drying and soil clay content on the morphological and physiological traits of rice roots and their relationships to yield and nutrient use-efficiency. Agric Water Manag, 223: 105706. |
[7] | Alhaj Hamoud Y, Wang Z C, Guo X P, Shaghaleh H, Sheteiwy M, Chen S, Qiu R J, Elbashier M. 2019c. Effect of irrigation regimes and soil texture on the potassium utilization efficiency of rice. Agronomy, 9(2): 100. |
[8] | Baki G K A E, Siefritz F, Man H M, Weiner H, Kaldenhoff R, Kaiser W M. 2000. Nitrate reductase in Zea mays L. under salinity. Plant Cell Environ, 23(5): 515-521. |
[9] |
Beauchamp C, Fridovich I. 1971. Superoxide dismutase: Improved assays and an assay applicable to acrylamide gels. Anal Biochem, 44(1): 276-287.
PMID |
[10] | Blair G J, Lefroy R, Lisle L. 1995. Soil carbon fractions based on their degree of oxidation, and the development of a carbon management index for agricultural systems. Aust J Agric Res, 46(7): 1459-1466. |
[11] | Carrijo D R, Lundy M E, Linquist B A. 2017. Rice yields and water use under alternate wetting and drying irrigation: A meta- analysis. Field Crops Res, 203: 173-180. |
[12] |
Chamizo-Ampudia A, Sanz-Luque E, Llamas A, Galvan A, Fernandez E. 2017. Nitrate reductase regulates plant nitric oxide homeostasis. Trends Plant Sci, 22(2): 163-174.
PMID |
[13] | Chen L M, Yi Y H, Wang W X, Zeng Y J, Tan X M, Wu Z M, Chen X F, Pan X H, Shi Q H, Zeng Y H. 2021. Innovative furrow ridging fertilization under a mechanical direct seeding system improves the grain yield and lodging resistance of early indica rice in South China. Field Crops Res, 270: 108184. |
[14] | Chen S, Wang Z C, Guo X P, Rasool G, Zhang J, Xie Y, Yousef A H, Shao G C. 2019. Effects of vertically heterogeneous soil salinity on tomato photosynthesis and related physiological parameters. Sci Hortic, 249: 120-130. |
[15] | Chen Y Y, Fan P S, Li L, Tian H, Ashraf U, Mo Z W, Duan M Y, Wu Q T, Zhang Z, Tang X R, Pan S G. 2020. Straw incorporation coupled with deep placement of nitrogen fertilizer improved grain yield and nitrogen use efficiency in direct-seeded rice. J Soil Sci Plant Nutr, 20(4): 2338-2347. |
[16] | Chen Y Y, Fan P S, Mo Z W, Kong L L, Tian H, Duan M Y, Li L, Wu L J, Wang Z M, Tang X R, Pan S G. 2021. Deep placement of nitrogen fertilizer affects grain yield, nitrogen recovery efficiency, and root characteristics in direct-seeded rice in South China. J Plant Growth Regul, 40(1): 379-387. |
[17] | Datta A, Ullah H, Ferdous Z. 2017. Water management in rice. In: Chauhan B S, Jabran K, Mahajan G. Rice Production Worldwide. Cham: Springer International Publishing: 255-277. |
[18] | de Almeida Carmeis Filho A C, Crusciol C A C, Nascente A S, Mauad M, Garcia R A. 2017. Influence of potassium levels on root growth and nutrient uptake of upland rice cultivars. Revista Caatinga, 30(1): 32-44. |
[19] | Dou F G, Soriano J, Tabien R E, Chen K. 2016. Soil texture and cultivar effects on rice (Oryza sativa L.) grain yield, yield components and water productivity in three water regimes. PLoS One, 11(3): e0150549. |
[20] | Elliott W H. 1953. Isolation of glutamine synthetase and glutamo- transferase from green peas. J Biol Chem, 201(2): 661-672. |
[21] | Fan F, Xu S J, Song G Y, Zhang Q G, Hou M H, Song X F. 2012. Studies on improvement of saline and alkali soil with the interlayer of maize straw in West Liaohe region. Chin J Soil Sci, 43(3): 696-701. (in Chinese with English abstract) |
[22] | Gouda G, Gupta M K, Donde R, Mohapatra T, Vadde R, Behera L. 2020. Marker-assisted selection for grain number and yield- related traits of rice (Oryza sativa L.). Physiol Mol Biol Plants, 26(5): 885-898. |
[23] | Hames B, Ruiz R, Scarlata C, Sluiter A D, Sluiter J, Templeton D. 2008. Preparation of Samples for Compositional Analysis. Golden, Colo: National Renewable Energy Laboratory. |
[24] | Jackson M L G. 2005. Soil Chemical Analysis:An Advanced Course. 2nd edn. Madison, Wisconsin, USA: Madison Libraries Parallel Press. |
[25] |
Jiang M, Zhang J. 2001. Effect of abscisic acid on active oxygen species, antioxidative defence system and oxidative damage in leaves of maize seedlings. Plant Cell Physiol, 42(11): 1265-1273.
PMID |
[26] | Jiang M, Xin L J, Li X B, Tan M H, Wang R J. 2019. Decreasing rice cropping intensity in Southern China from 1990 to 2015. Remote Sens, 11: 35. |
[27] | Jiang P K, Xu Q F, Xu Z H, Cao Z H. 2006. Seasonal changes in soil labile organic carbon pools within a Phyllostachys praecox stand under high rate fertilization and winter mulch in subtropical China. For Ecol Manag, 236(1): 30-36. |
[28] | Jin Z Q, Shah T, Zhang L, Liu H Y, Peng S B, Nie L X. 2020. Effect of straw returning on soil organic carbon in rice-wheat rotation system: A review. Food Energy Secur, 9(2): e200. |
[29] | Kargbo M B, Pan S G, Mo Z W, Wang Z M, Luo X W, Tian H, Hossain M F, Ashraf U, Tang X R. 2016. Physiological basis of improved performance of super rice (Oryza sativa) to deep placed fertilizer with precision hill-drilling machine. Int J Agric Biol, 18(4): 797-804. |
[30] | Lampayan R M, Rejesus R M, Singleton G R, Bouman B A M. 2015. Adoption and economics of alternate wetting and drying water management for irrigated lowland rice. Field Crops Res, 170: 95-108. |
[31] | Li L, Li Q K, Lin Z H, Zhang Z, Tian H, Ashraf U, Alhaj Hamoud Y, Duan M Y, Tang X R, Pan S G. 2021. Effects of nitrogen deep placement coupled with straw incorporation on grain quality and root traits from paddy fields. Crop Sci, 61(5): 3675-3686. |
[32] | Li L, Zhang Z, Tian H, Ashraf U, Hamoud Y A, Alaa A A, Tang X R, Duan M Y, Wang Z M, Pan S G. 2022. Nitrogen deep placement combined with straw mulch cultivation enhances physiological traits, grain yield and nitrogen use efficiency in mechanical pot-seedling transplanting rice. Rice Sci, 29(1): 89-100. |
[33] | Li Y, Chen H, Feng H, Dong Q G, Wu W J, Zou Y F, Chau H W, Siddique K H M. 2020. Influence of straw incorporation on soil water utilization and summer maize productivity: A five-year field study on the Loess Plateau of China. Agric Water Manag, 233: 106106. |
[34] | Liang H, Hu K L, Qin W, Zuo Q, Guo L, Tao Y Y, Lin S. 2019. Ground cover rice production system reduces water consumption and nitrogen loss and increases water and nitrogen use efficiencies. Field Crops Res, 233: 70-79. |
[35] | Lin Y, Zheng H B, Liu J, He H, Huang H. 2014. Current situation and prospect of rice water-saving irrigation technology in China. Chin J Ecol, 33(5): 1381-1387. (in Chinese with English abstract) |
[36] | Lu R K. 1999. Soil Agricultural Chemistry Analysis. Beijing, China: Chinese Agricultural Science and Technology Press: 106-110. (in Chinese) |
[37] | Luo H W, He L X, Du B, Pan S G, Mo Z W, Duan M Y, Tian H, Tang X R. 2020. Biofortification with chelating selenium in fragrant rice: Effects on photosynthetic rates, aroma, grain quality and yield formation. Field Crops Res, 255: 107909. |
[38] | Medina E, Kim S H, Yun M, Choi W G. 2021. Recapitulation of the function and role of ROS generated in response to heat stress in plants. Plants, 10(2): 371. |
[39] | Mitsui T, Yamakawa H, Kobata T. 2016. Molecular physiological aspects of chalking mechanism in rice grains under high- temperature stress. Plant Prod Sci, 19(1): 22-29. |
[40] | Moreno-García M, Repullo-Ruibérriz de Torres M A, Carbonell- Bojollo R M, Ordóñez-Fernández R. 2018. Management of pruning residues for soil protection in olive orchards. Land Degrad Dev, 29(9): 2975-2984. |
[41] | Muñoz K, Buchmann C, Meyer M, Schmidt-Heydt M, Steinmetz Z, Diehl D, Thiele-Bruhn S, Schaumann G E. 2017. Physicochemical and microbial soil quality indicators as affected by the agricultural management system in strawberry cultivation using straw or black polyethylene mulching. Appl Soil Ecol, 113: 36-44. |
[42] | Oumarou Abdoulaye A, Lu H S, Zhu Y H, Alhaj Hamoud Y, Sheteiwy M. 2019. The global trend of the net irrigation water requirement of maize from 1960 to 2050. Climate, 7(10): 124. |
[43] | Pan J F, Liu Y Z, Zhong X H, Lampayan R M, Singleton G R, Huang N R, Liang K M, Peng B L, Tian K. 2017. Grain yield, water productivity and nitrogen use efficiency of rice under different water management and fertilizer-N inputs in South China. Agric Water Manag, 184: 191-200. |
[44] | Pan S G, Rasul F, Li W, Tian H, Mo Z W, Duan M Y, Tang X R. 2013. Roles of plant growth regulators on yield, grain qualities and antioxidant enzyme activities in super hybrid rice (Oryza sativa L.). Rice, 6(1): 9. |
[45] | Panda D, Barik J. 2021. Flooding tolerance in rice: Focus on mechanisms and approaches. Rice Sci, 28(1): 43-57. |
[46] | Rasool G, Guo X P, Wang Z C, Chen S, Alhaj Hamoud Y, Javed Q. 2019. Response of fertigation under buried straw layer on growth, yield, and water-fertilizer productivity of Chinese cabbage under greenhouse conditions. Commun Soil Sci Plant Anal, 50(8): 1030-1043. |
[47] | Sahrawat K L. 2012. Soil fertility in flooded and non-flooded irrigated rice systems. Arch Agron Soil Sci, 58(4): 423-436. |
[48] | Searle P L. 1984. The Berthelot or indophenol reaction and its use in the analytical chemistry of nitrogen: A review. Analyst, 109(5): 549. |
[49] | Shaghaleh H, Xu X, Liu H, Wang S F, Alhaj Hamoud Y, Dong F H, Luo J Y. 2019. The effect of atmospheric pressure plasma pretreatment with various gases on the structural characteristics and chemical composition of wheat straw and applications to enzymatic hydrolysis. Energy, 176: 195-210. |
[50] | Sheteiwy M S, Dong Q, An J Y, Song W J, Guan Y J, He F, Huang Y T, Hu J. 2017. Regulation of ZnO nanoparticles-induced physiological and molecular changes by seed priming with humic acid in Oryza sativa seedlings. Plant Growth Regul, 83(1): 27-41. |
[51] | Sheteiwy M S, Gong D T, Gao Y, Pan R H, Hu J, Guan Y J. 2018. Priming with methyl jasmonate alleviates polyethylene glycol- induced osmotic stress in rice seeds by regulating the seed metabolic profile. Environ Exp Bot, 153: 236-248. |
[52] | Sheteiwy M S, Shao H B, Qi W C, Hamoud Y A, Shaghaleh H, Khan N U, Yang R P, Tang B P. 2019. GABA-alleviated oxidative injury induced by salinity, osmotic stress and their combination by regulating cellular and molecular signals in rice. Int J Mol Sci, 20(22): 5709. |
[53] | Statista . 2017. Rice:Statistics and Facts. New York, USA: Stat. Inc. |
[54] | Tao Y Y, Zhang Y N, Jin X X, Saiz G, Jing R Y, Guo L, Liu M J, Shi J C, Zuo Q, Tao H B, Butterbach-Bahl K, Dittert K, Lin S. 2015. More rice with less water: Evaluation of yield and resource use efficiency in ground cover rice production system with transplanting. Eur J Agron, 68: 13-21. |
[55] | Turmel M S, Speratti A, Baudron F, Verhulst N, Govaerts B. 2015. Crop residue management and soil health: A systems analysis. Agric Syst, 134: 6-16. |
[56] | Velikova V, Yordanov I, Edreva A. 2000. Oxidative stress and some antioxidant systems in acid rain-treated bean plants. Plant Sci, 151(1): 59-66. |
[57] | Wang Z Q, Zhang W Y, Beebout S S, Zhang H, Liu L J, Yang J C, Zhang J H. 2016. Grain yield, water and nitrogen use efficiencies of rice as influenced by irrigation regimes and their interaction with nitrogen rates. Field Crops Res, 193: 54-69. |
[58] | Xu G W, Lu D K, Wang H Z, Li Y J. 2018. Morphological and physiological traits of rice roots and their relationships to yield and nitrogen utilization as influenced by irrigation regime and nitrogen rate. Agric Water Manag, 203: 385-394. |
[59] | Yamauchi T, Yoshioka M, Fukazawa A, Mori H, Nishizawa N K, Tsutsumi N, Yoshioka H, Nakazono M. 2017. An NADPH oxidase RBOH functions in rice roots during lysigenous aerenchyma formation under oxygen-deficient conditions. Plant Cell, 29(4): 775-790. |
[60] | Yan F J, Sun Y J, Xu H, Yin Y Z, Wang H Y, Wang C Y, Guo C C, Yang Z Y, Sun Y Y, Ma J. 2018. Effects of wheat straw mulch application and nitrogen management on rice root growth, dry matter accumulation and rice quality in soils of different fertility. Paddy Water Environ, 16(3): 507-518. |
[61] | Yang H S, Zhai S L, Li Y F, Zhou J J, He R Y, Liu J, Xue Y G, Meng Y L. 2017. Waterlogging reduction and wheat yield increase through long-term ditch-buried straw return in a rice-wheat rotation system. Field Crops Res, 209: 189-197. |
[62] | Yang H S, Meng Y, Feng J X, Li Y F, Zhai S L, Liu J. 2020. Direct and indirect effects of long-term ditch-buried straw return on soil bacterial community in a rice-wheat rotation system. Land Degrad Dev, 31(7): 851-867. |
[63] | Yang J C, Zhou Q, Zhang J H. 2017. Moderate wetting and drying increases rice yield and reduces water use, grain arsenic level, and methane emission. Crop J, 5(2): 151-158. |
[64] |
Yanagisawa S. 2014. Transcription factors involved in controlling the expression of nitrate reductase genes in higher plants. Plant Sci, 229: 167-171.
PMID |
[65] | Ye Y S, Liang X Q, Chen Y X, Liu J, Gu J T, Guo R, Li L. 2013. Alternate wetting and drying irrigation and controlled-release nitrogen fertilizer in late-season rice: Effects on dry matter accumulation, yield, water and nitrogen use. Field Crops Res, 144: 212-224. |
[66] | Zhai S L, Xu C F, Wu Y C, Liu J, Meng Y L, Yang H S. 2021. Long-term ditch-buried straw return alters soil carbon sequestration, nitrogen availability and grain production in a rice-wheat rotation system. Crop Pasture Sci, 72(4): 245-254. |
[67] | Zhang X, Tan G, Huang Y. 1994. Experimental Technology of Plant Physiology. Shenyang, China: Liaoning Science and Technology Press: 51-75. |
[68] | Zhang Y N, Liu M J, Dannenmann M, Tao Y Y, Yao Z S, Jing R Y, Zheng X H, Butterbach-Bahl K, Lin S. 2017. Benefit of using biodegradable film on rice grain yield and N use efficiency in ground cover rice production system. Field Crops Res, 201: 52-59. |
[69] | Zhou W J, Leul M. 1999. Uniconazole-induced tolerance of rape plants to heat stress in relation to changes in hormonal levels, enzyme activities and lipid peroxidation. Plant Growth Regul, 27(2): 99-104. |
[1] | JI Dongling, XIAO Wenhui, SUN Zhiwei, LIU Lijun, GU Junfei, ZHANG Hao, Tom Matthew HARRISON, LIU Ke, WANG Zhiqin, WANG Weilu, YANG Jianchang. 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): 12-. |
[2] | 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. |
[3] | Md. Dhin Islam, Adam H. Price, Paul D. Hallett. Effects of Root Growth of Deep and Shallow Rooting Rice Cultivars in Compacted Paddy Soils on Subsequent Rice Growth [J]. Rice Science, 2023, 30(5): 459-472. |
[4] | Sheikh Faruk Ahmed, Hayat Ullah, May Zun Aung, Rujira Tisarum, Suriyan Cha-Um, Avishek Datta. Iron Toxicity Tolerance of Rice Genotypes in Relation to Growth, Yield and Physiochemical Characters [J]. Rice Science, 2023, 30(4): 321-334. |
[5] | 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. |
[6] | 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. |
[7] | Ernieca Lyngdoh Nongbri, Sudip Das, Karma Landup Bhutia, Aleimo G. Momin, Mayank Rai, Wricha Tyagi. Differential Expression of Iron Deficiency Responsive Rice Genes under Low Phosphorus and Iron Toxicity Conditions and Association of OsIRO3 with Yield in Acidic Soils [J]. Rice Science, 2023, 30(1): 58-69. |
[8] | Liu Yantong, Li Ting, Jiang Zhishu, Zeng Chuihai, He Rong, Qiu Jiao, Lin Xiaoli, Peng Limei, Song Yongping, Zhou Dahu, Cai Yicong, Zhu Changlan, Fu Junru, He Haohua, Xu Jie. Characterization of a Novel Weak Allele of RGA1/D1 and Its Potential Application in Rice Breeding [J]. Rice Science, 2022, 29(6): 522-534. |
[9] | Chen Wei, Cai Yicong, Shakeel Ahmad, Wang Yakun, An Ruihu, Tang Shengjia, Guo Naihui, Wei Xiangjin, Tang Shaoqing, Shao Gaoneng, Jiao Guiai, Xie Lihong, Hu Shikai, Sheng Zhonghua, Hu Peisong. NRL3 Interacts with OsK4 to Regulate Heading Date in Rice [J]. Rice Science, 2022, 29(3): 237-246. |
[10] | Luo Haowen, He Longxin, Du Bin, Pan Shenggang, Mo Zhaowen, Yang Shuying, Zou Yingbin, Tang Xiangru. Epoxiconazole Improved Photosynthesis, Yield Formation, Grain Quality and 2-Acetyl-1-Pyrroline Biosynthesis of Fragrant Rice [J]. Rice Science, 2022, 29(2): 189-196. |
[11] | Saichompoo Uthomphon, Narumol Possawat, Nakwilai Pawat, Thongyos Peeranut, Nanta Aekchupong, Tippunya Patompong, Ruengphayak Siriphat, Itthisoponkul Teerarat, Bueraheng Niranee, Cheabu Sulaiman, Malumpong Chanate. Breeding Novel Short Grain Rice for Tropical Region to Combine Important Agronomical Traits, Biotic Stress Resistance and Cooking Quality in Koshihikari Background [J]. Rice Science, 2021, 28(5): 479-792. |
[12] | Matsue Yuji, Takasaki Katsuya, Abe Jun. Water Management for Improvement of Rice Yield, Appearance Quality and Palatability with High Temperature During Ripening Period [J]. Rice Science, 2021, 28(4): 409-416. |
[13] | Panigrahy Madhusmita, Das Subhashree, Poli Yugandhar, Kumar Sahoo Pratap, Kumari Khushbu, C. S. Panigrahi Kishore. Carbon Nanoparticle Exerts Positive Growth Effects with Increase in Productivity by Down-Regulating Phytochrome B and Enhancing Internal Temperature in Rice [J]. Rice Science, 2021, 28(3): 289-300. |
[14] | Minghua Zhang, Zhaowen Mo, Juan Liao, Shenggang Pan, Xiongfei Chen, Le Zheng, Xiwen Luo, Zaiman Wang. Lodging Resistance Related to Root Traits for Mechanized Wet-Seeding of Two Super Rice Cultivars [J]. Rice Science, 2021, 28(2): 200-208. |
[15] | Jan Mehmood, Shah Gulmeena, Yuqing Huang, Xuejiao Liu, Peng Zheng, Hao Du, Hao Chen, Jumin Tu. Development of Heat Tolerant Two-Line Hybrid Rice Restorer Line Carrying Dominant Locus of OsHTAS [J]. Rice Science, 2021, 28(1): 99-108. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||