Welcome to Acta Agronomica Sinica，

Acta Agronomica Sinica ›› 2020, Vol. 46 ›› Issue (9): 1430-1447.doi: 10.3724/SP.J.1006.2020.02017

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Regulations of controlled irrigations and increased densities on yield formation of hybrid indica rice under nitrogen-reduction conditions

LI Min*(), LUO De-Qiang*(), JIANG Xue-Hai, JIANG Ming-Jin, JI Guang-Mei, LI Li-Jiang, ZHOU Wei-Jia   

  1. Rice Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, Guizhou, China
  • Received:2020-03-08 Accepted:2020-06-02 Online:2020-09-12 Published:2020-06-17
  • Contact: Min LI,De-Qiang LUO E-mail:233652981@qq.com;398004824@qq.com
  • Supported by:
    National Natural Science Foundation of China(31660369);Science and Technology Foundation of Guizhou Province(2016-1148)

RichHTML372

12

PDF

583

Abstract:

Rice is one of the most important staple food crops of the world, both water management and plant density are crucial factors for the growth and development of rice. However, little information has been known about the combined effects of water management and plant density on grain yield under nitrogen-reduction conditions in rice. Field experiments were conducted in the farm of Rice Research Institute of Guizhou Agricultural Sciences Academy in 2017 and 2018. The hybrid indica rice cultivar Chengyou 981 was selected as the material, and the conventional high-yielding cultivation model as the control (CK), of which the nitrogen application rate (N0) was 187.5 kg hm -2, the water management (W0) was wet irrigation, and the plant density (D0) was 20.0×104hm-2. Three models with increased density (W0D1: a density increased by 20%, W0D2: a density increased by 40%, and W0D3: a density increased by 60%) and nine combined models of controlled irrigation and increased density (W1D1, W1D2, W1D3, W2D1, W2D2, W2D3, W3D1, W3D2, and W3D3) were set to study the yield and its formation of rice under two nitrogen-reduction conditions. W1, alternate wetting and light drying irrigation with -10 kPa of the minimum soil water potential; W2, alternate wetting and moderate drying irrigation with -20 kPa of the minimum soil water potential; and W3, alternate wetting and heavy drying irrigation with -30 kPa of the minimum soil water potential. The results were as follows: (1) When the nitrogen application was reduced by 10%, compared with CK, the grain yields of three increased density treatments were significantly decreased except W0D1, which had a slightly increased dry matter accumulation at maturity. Among the nine combined models of controlled water and increased density, the grain yields of W1D1 and W2D1 were 3.70% and 1.19% higher than that of CK, respectively. The effective panicle numbers of W1D1 and W2D1 were equivalent to that of CK, while the spikelet numbers per panicle decreased by 3.50% and 2.79%, seed-setting rates increased by 3.04% and 2.37%, and 1000-grain weights increased by 0.71% and 0.35%, respectively. Compared with CK, the higher grain yields of W1D1 and W2D1 were attributed to 3.88% and 5.54% higher percentage of productive tillers, 2.77% and 0.59% higher highly effective leaf area index at heading, 3.87% and 1.78% higher dry matter accumulation in panicles, 5.50% and 6.24% higher percentage of dry matter accumulation in panicles, 5.53% and 5.93% higher harvest index, and the equivalent total dry matter accumulation at maturity, respectively. (2) When the nitrogen application was reduced by 30%, the grain yields of nine combined models of controlled water and increased density were significantly decreased by 15.44%-30.85% as compared with CK. W2D2 and W1D2 had the smallest yield reductions. Therefore, the reasonable combined model of controlled water and increased density under a small amount of nitrogen-reduction could improve the growth characteristics of rice plants and increase grain yield, while the regulatory effects of controlled water and increased density became weaker and resulted in significantly lower grain yield under the excessive nitrogen-reduction.

Key words: hybrid indica rice, nitrogen-reduction, controlled irrigation, increased density, regulation

Table 1

Analysis of variance for the key growth traits influencing grain yield from 2017 to 2018 under the same cultivation model (F- values)"

方差分析
Analysis of variance		 产量
Grain yield		 分蘖成穗率
Percentage of
productive tillers		 抽穗期高效叶面积指数Highly effective leaf area index at heading 干物质积累总量
Above ground
biomass		 收获指数
Harvest index
年度Year (Y) 44.37** 2.56 ns 3.12 ns 44.37** 1.28 ns
年度×栽培模式Y×cultivation model 1.49 ns 1.21 ns 0.87 ns 1.49 ns 0.25 ns

Table 2

Analysis of variance for yield traits in rice"

性状
Trait		 变异来源
Source of variation		 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-test		 显著性
Significance
2017 有效穗数
Effective panicle number		 栽培模式CM 26 64,855.21 2494.43 28.02 < 0.01
误差Residual 52 4628.72 89.01
总变异Total 80 74,751.38
穗粒数
Spikelets per panicle		 栽培模式CM 26 5941.52 228.52 24.32 < 0.01
误差Residual 52 488.6 9.4
总变异Total 80 6738.84
结实率
Seed-setting rate		 栽培模式CM 26 1596.92 61.42 65.32 < 0.01
误差Residual 52 48.9 0.94
总变异Total 80 1669.74
性状
Trait		 变异来源
Source of variation		 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-test		 显著性
Significance
千粒重
1000-grain weight		 栽培模式CM 26 16.02 0.62 37.94 < 0.01
误差Residual 52 0.84 0.02
总变异Total 80 17.14
产量
Grain yield		 栽培模式CM 26 116.92 4.5 83.38 < 0.01
误差Residual 52 2.8 0.05
总变异Total 80 122.7
2018 有效穗数
Effective panicle number		 栽培模式CM 26 46,008.26 1769.55 25.58 < 0.01
误差Residual 52 3597.48 69.18
总变异Total 80 51,346.7
穗粒数
Spikelets per panicle		 栽培模式CM 26 4424.28 170.16 6.54 < 0.01
误差Residual 52 1353.34 26.03
总变异Total 80 5974.32
结实率
Seed-setting rate		 栽培模式CM 26 1339.77 51.53 36.97 < 0.01
误差Residual 52 72.47 1.39
总变异Total 80 1482.09
千粒重
1000-grain weight		 栽培模式CM 26 13.66 0.53 17.85 < 0.01
误差Residual 52 1.53 0.03
总变异Total 80 15.7
产量 栽培模式CM 26 91.41 3.52 19.77 < 0.01
Grain yield 误差Residual 52 9.25 0.18
总变异Total 80 102.23

Table 3

The effects of controlled water management and increased density on yield and yield components under nitrogen reductions of rice in 2017"

栽培模式
Cultivation model		 有效穗数
Effective panicle number
(×104 hm-2)		 穗粒数
Spikelets per panicle		 颖花量
Total spikelets
(×104 hm-2)		 结实率
Seed-
setting rate
(%)		 千粒重
1000-grain weight
(g)		 产量
Grain yield
(t hm-2)
减氮
Nitrogen
reduction		 控水增密
Water and density
treatment
N0 W0D0 (CK) 276.2±10.6 200.3±5.7 55,287±1066 82.6±0.4 28.3±0.2 12.02±0.35
N-10% W0D0 255.1±6.7 189.2±4.0 48,256±1143 83.2±0.7 28.5±0.1 11.04±0.32
N-10% W0D1 288.4±17.2 183.6±5.9 52,883±1540 83.2±0.7 28.1±0.1 11.81±0.28
N-10% W0D2 307.3±7.1 175.3±2.6 53,862±997 75.1±0.7 27.6±0.2 11.10±0.35
N-10% W0D3 327.7±16.1 165.9±3.8 54,347±2421 69.6±2.3 27.1±0.1 9.52±0.37
N-10% W1D1 279.3±7.2 189.5±2.8 52,927±1541 85.1±0.5 28.5±0.2 12.49±0.51
N-10% W1D2 295.7±14.9 183.1±1.9 54,124±2181 77.6±0.3 28.1±0.2 11.24±0.38
N-10% W1D3 322.8±13.8 175.2±3.4 56,540±2161 70.3±0.5 27.1±0.1 9.68±0.49
N-10% W2D1 267.2±12.3 196.4±4.5 52,442±1179 84.5±0.7 28.4±0.2 12.20±0.62
N-10% W2D2 279.3±9.6 196.3±3.8 54,802±826 79.3±0.5 28.1±0.1 11.31±0.26
N-10% W2D3 298.8±20.4 188.8±5.0 56,346±2365 73.1±0.5 27.5±0.1 10.50±0.36
N-10% W3D1 256.9±4.9 201.3±1.8 51,715±1160 79.1±0.2 28.1±0.1 10.63±0.15
N-10% W3D2 268.8±6.9 197.2±2.0 52,998±839 77.2±0.9 27.8±0.2 10.28±0.19
N-10% W3D3 288.4±9.6 187.8±2.1 54,148±1230 72.3±1.7 27.6±0.0 9.84±0.12
N-30% W0D0 231.2±4.9 180.1±3.6 41,637±1099 83.8±2.4 28.6±0.1 9.05±0.15
栽培模式
Cultivation model		 有效穗数
Effective panicle number
(×104 hm-2)		 穗粒数
Spikelets per panicle		 颖花量
Total spikelets
(×104 hm-2)		 结实率
Seed-
setting rate
(%)		 千粒重
1000-grain weight
(g)		 产量
Grain yield
(t hm-2)
减氮
Nitrogen
reduction		 控水增密
Water and density
treatment
N-30% W0D1 237.5±19.3 182.2±6.4 43,191±2007 81.2±1.3 27.5±0.0 8.91±0.36
N-30% W0D2 263.3±11.4 176.3±2.0 46,410±1742 80.6±2.3 27.3±0.2 9.12±0.28
N-30% W0D3 283.6±12.2 170.7±2.3 48,414±2285 73.9±2.1 27.2±0.1 8.69±0.32
N-30% W1D1 229.7±18.7 188.1±7.4 43,166±3171 82.3±1.7 28.0±0.1 9.07±0.16
N-30% W1D2 253.9±22.8 186.3±3.1 47,260±3572 81.1±0.6 27.8±0.1 9.87±0.41
N-30% W1D3 274.8±20.4 179.5±4.4 49,283±2929 74.4±1.1 27.2±0.1 9.18±0.16
N-30% W2D1 222.2±11.7 191.3±2.3 42,489±1722 82.1±0.5 28.0±0.2 8.78±0.30
N-30% W2D2 249.2±3.3 190.4±3.3 47,450±1179 80.5±0.9 27.7±0.1 10.07±0.25
N-30% W2D3 267.3±19.1 182.6±3.7 48,778±2899 74.5±1.1 27.3±0.0 9.17±0.20
N-30% W3D1 214.7±12.1 191.0±3.4 40,995±2055 78.5±0.5 28.0±0.1 8.22±0.37
N-30% W3D2 241.6±15.5 189.3±2.0 45,743±3163 77.0±0.7 27.8±0.4 8.95±0.22
N-30% W3D3 258.3±6.1 186.7±3.0 48,216±847 73.1±0.3 27.4±0.2 8.79±0.26
LSD0.05 22.16 6.29 3263.90 1.90 0.24 0.53

Table 4

The effects of controlled water management and increased density on yield and yield components under nitrogen reductions of rice in 2018"

栽培模式Cultivation model 有效穗数
Effective panicle number
(×104 hm-2)		 穗粒数
Spikelets per panicle		 颖花量
Total spikelets
(×104 hm-2)		 结实率
Seed-setting rate (%)		 千粒重
1000-grain weight
(g)		 产量
Grain yield
(t hm-2)
减氮
Nitrogen
reduction		 控水增密
Water-density
treatment
N0 W0D0(CK) 264.1±4.7 198.4±3.4 52,388±351 82.1±1.8 28.2±0.2 11.43±0.23
N-10% W0D0 255.0±5.7 193.2±5.1 49,250±734 82.8±1.2 28.3±0.1 10.51±0.18
N-10% W0D1 263.8±9.2 192.6±3.1 50,795±1352 82.3±0.7 28.2±0.0 11.32±0.26
N-10% W0D2 279.4±6.9 187.7±1.8 52,436±911 78.6±1.3 27.8±0.1 10.71±0.34
N-10% W0D3 303.5±16.3 173.9±2.0 52,779±2937 68.9±1.7 27.0±0.4 9.09±0.17
N-10% W1D1 258.9±8.3 195.2±1.9 50,528±1196 84.6±1.0 28.4±0.2 11.63±0.24
N-10% W1D2 275.3±11.8 190.6±4.4 52,494±3145 79.3±1.7 28.0±0.3 10.98±0.48
N-10% W1D3 298.2±9.4 175.2±2.1 52,232±1075 70.1±3.0 27.1±0.1 9.17±0.15
N-10% W2D1 256.2±9.1 191.2±2.4 48,974±1313 84.1±1.5 28.3±0.2 11.48±0.07
N-10% W2D2 269.1±10.7 186.8±3.8 50,253±1698 80.1±1.5 28.0±0.3 11.05±0.39
N-10% W2D3 282.6±5.1 175.1±3.1 49,479±912 73.8±1.6 27.6±0.3 9.47±0.31
N-10% W3D1 232.8±6.2 190.7±3.5 44,385±886 82.2±1.4 28.0±0.3 9.78±0.10
N-10% W3D2 245.9±9.4 187.4±4.3 46,099±2598 80.2±1.6 27.6±0.3 9.66±0.42
N-10% W3D3 255.8±12.9 181.2±2.4 46,346±2299 75.9±1.3 27.3±0.2 9.03±0.22
N-30% W0D0 228.2±8.4 185.6±1.0 42,349±1378 83.6±0.6 28.6±0.0 9.29±0.12
N-30% W0D1 222.7±8.9 182.6±1.8 40,661±1544 82.9±2.0 28.1±0.1 9.11±0.29
N-30% W0D2 239.5±10.9 180.1±1.9 43,142±2263 80.5±0.4 28.0±0.2 9.40±0.26
栽培模式Cultivation model 有效穗数
Effective panicle number
(×104 hm-2)		 穗粒数
Spikelets per panicle		 颖花量
Total spikelets
(×104 hm-2)		 结实率
Seed-setting rate (%)		 千粒重
1000-grain weight
(g)		 产量
Grain yield
(t hm-2)
减氮
Nitrogen
reduction		 控水增密
Water-density
treatment
N-30% W0D3 247.9±10.4 175.3±16.9 43,552±5699 78.4±0.8 27.5±0.1 8.61±1.28
N-30% W1D1 219.8±8.2 185.7±3.6 40,816±1692 84.6±2.5 28.5±0.1 9.32±0.20
N-30% W1D2 236.4±7.3 182.4±2.0 43,118±1326 83.1±0.4 28.2±0.2 9.58±0.20
N-30% W1D3 245.6±13.1 172.1±6.9 42,299±3394 80.6±1.6 27.7±0.2 8.73±0.50
N-30% W2D1 216.8±10.8 182.6±11.2 39,526±1644 83.5±3.2 28.3±0.2 8.84±0.58
N-30% W2D2 236.0±15.1 183.2±6.8 43,292±4217 83.9±2.1 28.2±0.3 9.76±0.75
N-30% W2D3 242.7±5.2 172.2±4.0 41,795±1435 80.4±1.1 27.7±0.2 8.85±0.74
N-30% W3D1 210.3±16.6 179.2±0.9 37,676±2769 82.1±1.2 28.0±0.2 7.99±0.57
N-30% W3D2 222.9±3.4 176.9±8.1 39,423±1616 81.3±1.1 27.7±0.0 8.42±0.42
N-30% W3D3 234.9±8.7 174.2±3.5 40,939±2319 75.6±1.9 27.4±0.3 8.02±0.41
LSD0.05 16.28 8.77 3712.90 2.66 0.32 0.73

Table 5

Analysis of variance for tillering traits in rice"

性状
Trait		 变异来源
Source of variation		 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-value		 显著性
Significance
拔节期茎蘖数
Tillers at elongation		 栽培模式CM 26 166,840.3 6416.94 64.03 < 0.01
误差Residual 52 5211.16 100.21
总变异Total 80 176,864.6
抽穗期茎蘖数
Tillers at heading		 栽培模式CM 26 73,586.9 2830.3 20.38 < 0.01
误差Residual 52 7497.9 138.8
总变异Total 80 81,084.7
成熟期茎蘖数
Tillers at maturity		 栽培模式CM 26 64,855.2 2494.4 13.61 < 0.01
误差Residual 54 9896.2 183.3
总变异Total 80 74,751.4
成穗率
Percentage of
productive tillers		 栽培模式CM 26 370.87 14.26 1.01 ns
误差Residual 52 730.94 14.06
总变异Total 80 1141.71

Table 6

Effects of controlled water management and increased density on tillering characteristics under nitrogen reductions in rice"

栽培模式Cultivation model 群体茎蘖数Tillers per unit area (×104 hm-2) 分蘖成穗率
Percentage of
productive tillers (%)
减氮
Nitrogen reduction		 控水增密
Water-density
treatment		 拔节期
Elongation stage		 抽穗期
Heading stage		 成熟期
Maturity stage
N0 W0D0 (CK) 373.5±10.5 294.1±5.8 276.2±10.6 73.9±1.4
N-10% W0D0 348.1±9.8 278.0±6.1 255.1±6.7 73.3±0.5
N-10% W0D1 387.2±13.8 298.2±19.5 288.4±17.2 74.5±2.7
N-10% W0D2 416.8±13.5 327.5±8.4 307.3±7.1 73.8±1.6
N-10% W0D3 459.9±20.0 359.6±8.8 327.7±16.1 71.3±3.5
N-10% W1D1 361.6±8.2 292.5±6.3 279.3±7.2 77.2±0.7
N-10% W1D2 394.5±14.1 312.2±13.7 295.7±14.9 74.9±1.2
N-10% W1D3 448.4±16.9 352.6±11.5 322.8±13.8 72.0±1.4
N-10% W2D1 340.5±12.7 283.5±11.2 267.2±12.3 78.5±1.5
N-10% W2D2 370.5±12.7 316.7±17.8 279.3±9.6 75.4±3.2
N-10% W2D3 408.2±8.9 334.5±13.8 298.8±20.4 73.2±5.0
N-10% W3D1 321.3±14.7 270.2±8.9 256.9±4.9 80.1±3.4
N-10% W3D2 350.9±15.1 292.5±6.3 268.8±6.9 76.6±1.3
N-10% W3D3 389.8±9.5 310.6±12.1 288.4±9.6 74.0±1.9
N-30% W0D0 307.5±26.9 267.1±7.7 231.2±4.9 75.7±7.9
N-30% W0D1 315.9±14.9 265.7±10.6 237.5±19.3 75.1±3.6
N-30% W0D2 357.4±18.3 287.3±6.9 263.3±11.4 73.8±3.6
N-30% W0D3 389.2±24.4 311.6±10.3 283.6±12.2 73.2±7.4
N-30% W1D1 297.0±6.7 249.2±11.4 229.7±18.7 77.3±5.0
N-30% W1D2 336.2±7.4 272.9±17.3 253.9±22.8 75.5±6.8
N-30% W1D3 373.5±5.7 298.5±6.5 274.8±20.4 73.5±4.4
N-30% W2D1 286.4±6.2 241.6±13.7 222.2±11.7 77.6±3.7
N-30% W2D2 327.0±5.8 268.5±10.2 249.2±3.3 76.2±1.0
N-30% W2D3 358.5±11.1 294.2±22.7 267.3±19.1 74.6±6.2
N-30% W3D1 268.7±9.2 234.0±10.2 214.7±12.1 79.9±3.1
N-30% W3D2 316.4±12.6 267.1±12.5 241.6±15.5 76.3±2.4
N-30% W3D3 345.5±10.1 285.4±5.6 258.3±6.1 74.8±1.2
LSD0.05 22.30 19.29 22.16 6.19

Table 7

Analysis of variance for leaf area traits in rice"

性状
Trait		 变异来源
Source of variation		 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-value		 显著性
Significance
叶面积指数
Leaf area index		 栽培模式CM 26 20.52 0.79 22.97 < 0.01
误差Residual 52 1.79 0.03
总变异Total 80 23.75
高效叶面积指数
Highly effective leaf area index		 栽培模式CM 26 3.99 0.15 3.49 < 0.01
误差Residual 52 2.29 0.04
总变异Total 80 7.04
高效叶面积率
Percentage of highly effective leaf area index		 栽培模式CM 26 459.69 17.68 1.93 < 0.05
误差Residual 52 477.00 9.17
总变异Total 80 940.60

Table 8

The effects of controlled water management and increased density on leaf area index under nitrogen reductions in rice"

栽培模式Cultivation model 叶面积指数
Leaf area index		 高效叶面积指数
Highly effective leaf area index		 高效叶面积率
Percentage of highly effective leaf area index (%)
减氮
Nitrogen reduction		 控水增密
Water-density treatment
N0 W0D0 (CK) 7.82±0.10 5.05±0.07 64.58±0.57
N-10% W0D0 7.37±0.10 4.78±0.18 64.85±1.92
N-10% W0D1 7.85±0.14 5.01±0.24 63.82±2.77
N-10% W0D2 8.12±0.14 5.08±0.37 62.58±4.83
N-10% W0D3 8.29±0.34 4.89±0.11 59.02±1.41
N-10% W1D1 7.83±0.34 5.19±0.19 66.40±4.53
N-10% W1D2 8.08±0.21 5.12±0.20 63.36±1.41
N-10% W1D3 8.22±0.18 5.03±0.12 61.21±2.03
N-10% W2D1 7.71±0.18 5.08±0.07 65.92±2.19
N-10% W2D2 7.96±0.24 5.03±0.19 63.27±4.19
N-10% W2D3 8.11±0.11 4.97±0.28 61.27±3.11
N-10% W3D1 7.69±0.25 4.87±0.09 63.35±1.17
N-10% W3D2 7.82±0.28 4.78±0.23 61.11±0.94
N-10% W3D3 7.89±0.27 4.75±0.20 60.22±2.34
N-30% W0D0 6.72±0.13 4.43±0.28 65.89±3.05
N-30% W0D1 7.09±0.36 4.56±0.35 64.46±6.60
N-30% W0D2 7.46±0.31 4.77±0.44 63.85±3.38
N-30% W0D3 7.77±0.43 4.91±0.42 63.17±3.30
N-30% W1D1 7.12±0.21 4.71±0.08 66.19±2.17
N-30% W1D2 7.41±0.26 4.88±0.26 65.86±2.94
N-30% W1D3 7.68±0.11 4.86±0.07 63.29±1.12
N-30% W2D1 6.89±0.24 4.72±0.12 68.55±2.58
N-30% W2D2 7.13±0.19 4.65±0.14 65.23±1.84
N-30% W2D3 7.44±0.22 4.61±0.45 61.88±4.13
N-30% W3D1 6.33±0.18 4.39±0.20 69.39±3.54
N-30% W3D2 6.66±0.44 4.44±0.28 66.69±1.89
N-30% W3D3 7.14±0.15 4.57±0.12 64.02±2.05
LSD0.05 0.40 0.40 4.89

Table 9

Analysis of variance for dry matter accumulation and harvest index of rice"

性状
Trait		 变异来源
Source of variation		 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-value		 显著性
Significance
拔节期干物质量
Dry matter at elongation
 栽培模式CM 26 26.54 1.02 66.23 < 0.01
误差Residual 52 0.80 0.02
总变异Total 80 27.64
抽穗期干物质量
Dry matter at heading
 栽培模式CM 26 170.36 6.55 111.45 < 0.01
误差Residual 52 3.06 0.06
总变异Total 80 175.72
成熟期干物质量
Dry matter at maturity
 栽培模式CM 26 454.03 17.46 60.68 < 0.01
误差Residual 52 14.96 0.29
总变异Total 80 484.13
收获指数
Harvest index
 栽培模式CM 26 0.15 0.01 23.55 < 0.01
误差Residual 52 0.01 0
总变异Total 80 0.16

Table 10

Effects of controlled water management and increased density on dry matter accumulation under nitrogen reductions in rice"

栽培模式Cultivation model 干物质积累量Dry matter accumulation (t hm-2) 收获指数
Harvest index
减氮
Nitrogen reduction		 控水增密
Water-density treatment		 拔节期
Elongation stage		 抽穗期
Heading stage		 成熟期
Maturity stage
N0 W0D0 (CK) 4.8±0.2 12.6±0.4 22.6±0.9 0.532±0.005
N-10% W0D0 4.2±0.2 11.6±0.4 21.0±1.2 0.526±0.015
N-10% W0D1 4.7±0.2 13.1±0.5 22.7±1.2 0.521±0.016
N-10% W0D2 5.0±0.2 13.4±0.4 23.1±0.9 0.481±0.005
N-10% W0D3 5.2±0.1 13.9±0.1 23.8±0.9 0.400±0.011
N-10% W1D1 4.3±0.1 12.3±0.2 22.2±1.0 0.563±0.001
N-10% W1D2 4.6±0.2 12.7±0.2 22.4±1.2 0.502±0.013
N-10% W1D3 4.9±0.2 13.0±0.2 23.3±0.6 0.416±0.022
N-10% W2D1 4.2±0.1 12.1±0.3 21.6±0.8 0.565±0.020
N-10% W2D2 4.4±0.1 12.3±0.2 22.3±0.9 0.507±0.011
栽培模式Cultivation model 干物质积累量Dry matter accumulation (t hm-2) 收获指数
Harvest index
减氮
Nitrogen reduction		 控水增密
Water-density treatment		 拔节期
Elongation stage		 抽穗期
Heading stage		 成熟期
Maturity stage
N-10% W2D3 4.7±0.1 12.7±0.2 22.9±0.7 0.459±0.011
N-10% W3D1 3.8±0.1 11.8±0.3 18.8±0.9 0.567±0.035
N-10% W3D2 4.2±0.2 12.2±0.2 20.8±1.1 0.495±0.017
N-10% W3D3 4.4±0.1 12.6±0.2 21.1±0.4 0.467±0.014
N-30% W0D0 3.6±0.1 9.1±0.3 16.6±1.0 0.547±0.041
N-30% W0D1 3.8±0.1 9.9±0.2 16.8±0.5 0.530±0.010
N-30% W0D2 4.0±0.2 10.7±0.3 18.9±0.4 0.482±0.007
N-30% W0D3 4.5±0.2 11.5±0.4 19.7±0.2 0.441±0.016
N-30% W1D1 3.4±0.0 9.4±0.4 16.7±0.7 0.544±0.013
N-30% W1D2 3.7±0.2 10.2±0.3 18.8±0.6 0.525±0.006
N-30% W1D3 4.3±0.1 11.0±0.6 19.5±0.3 0.471±0.002
N-30% W2D1 3.2±0.1 9.5±0.3 16.5±0.3 0.532±0.010
N-30% W2D2 3.6±0.1 10.0±0.3 19.0±0.2 0.530±0.011
N-30% W2D3 3.9±0.2 10.3±0.4 19.4±0.3 0.473±0.005
N-30% W3D1 3.0±0.1 9.1±0.4 15.6±0.3 0.527±0.016
N-30% W3D2 3.3±0.3 9.4±0.3 18.5±0.1 0.484±0.014
N-30% W3D3 3.6±0.1 9.9±0.4 19.1±0.3 0.460±0.008
LSD0.05 0.23 0.52 1.22 0.026

Table 11

Analysis of variance for period dry matter accumulation in rice"

性状
Trait		 变异来源 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-value		 显著性
Significance
Source of
variation
拔节前干物质量 栽培模式CM 26 26.54 1.02 66.23 < 0.01
Dry matter before elongation stage 误差Residual 52 0.80 0.02
总变异Total 80 27.64
拔节抽穗期干物质量
Dry matter from elongation stage to heading stage		 栽培模式CM 26 70.70 2.72 38.73 < 0.01
误差Residual 52 3.65 0.07
总变异Total 80 75.30
抽穗成熟期干物质量
Dry matter from heading stage to maturity stage		 栽培模式CM 26 99.90 3.84 12.47 < 0.01
误差Residual 52 16.02 0.31
总变异Total 80 122.46
性状
Trait		 变异来源 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-value		 显著性
Significance
Source of
variation
拔节前干物质比例
Rate of dry matter before elongation stage		 栽培模式CM 26 113.02 4.35 8.1 < 0.01
误差Residual 52 27.90 0.54
总变异Total 80 145.11
拔节抽穗期干物质比例
Rate of dry matter from elongation stage to heading stage		 栽培模式CM 26 378.76 14.57 4.99 < 0.01
误差Residual 52 151.77 2.92
总变异Total 80 538.52
抽穗成熟期干物质比例
Rate of dry matter from heading stage to maturity stage		 栽培模式CM 26 517.65 19.91 5.83 < 0.01
误差Residual 52 177.73 3.42
总变异Total 80 719.18

Table 12

The effects of controlled water management and increased density on dry matter accumulation during different growth periods under nitrogen reductions in rice"

栽培模式Cultivation model 阶段积累量Dry matter accumulation (t hm-2) 干物质积累比例Dry matter accumulation rate (%)
减氮
Nitrogen
reduction		 控水增密
Water-density
treatment		 拔节前
Sowing to elongation stage		 拔节-抽穗
Elongation stage to
heading stage		 抽穗-成熟
Heading stage to maturity stage		 拔节前
Sowing to
elongation stage		 拔节-抽穗
Elongation stage to heading stage		 抽穗-成熟
Heading stage to
maturity stage
N0 W0D0 (CK) 4.8±0.2 7.8±0.3 10.0±0.5 21.2±0.5 34.5±0.5 44.2±1.0
N-10% W0D0 4.2±0.2 7.4±0.3 9.4±0.9 20.0±0.4 35.3±1.8 44.7±2.0
N-10% W0D1 4.7±0.2 8.4±0.4 9.6±0.8 20.7±0.5 37.0±0.8 42.3±1.3
N-10% W0D2 5.0±0.2 8.4±0.2 9.7±0.6 21.7±0.2 36.4±1.0 42.0±1.2
N-10% W0D3 5.2±0.1 8.7±0.1 9.9±0.8 21.9±0.7 36.6±1.2 41.6±1.8
N-10% W1D1 4.3±0.1 8.0±0.1 9.9±0.9 19.4±0.5 36.1±1.6 44.5±2.1
N-10% W1D2 4.6±0.2 8.1±0.1 9.7±1.0 20.6±0.4 36.2±1.9 43.2±2.2
N-10% W1D3 4.9±0.2 8.1±0.4 10.3±0.6 21.0±0.8 34.8±1.8 44.2±1.7
N-10% W2D1 4.2±0.1 7.9±0.3 9.5±0.5 19.5±0.8 36.6±0.8 44.0±0.9
N-10% W2D2 4.4±0.1 7.9±0.1 10.0±0.8 19.7±0.5 35.5±1.1 44.8±1.6
N-10% W2D3 4.7±0.1 8.0±0.1 10.2±0.5 20.5±0.3 35.0±0.7 44.5±1.0
N-10% W3D1 3.8±0.1 8.0±0.2 7.0±0.9 20.2±0.6 42.6±2.3 37.2±2.9
N-10% W3D2 4.2±0.2 8.0±0.0 8.6±1.1 20.2±1.1 38.5±2.1 41.2±2.9
N-10% W3D3 4.4±0.1 8.2±0.2 8.5±0.5 20.9±0.4 38.9±1.5 40.3±1.8
N-30% W0D0 3.6±0.1 5.5±0.4 7.5±1.0 21.8±1.8 33.2±2.3 45.1±3.4
N-30% W0D1 3.8±0.1 6.1±0.2 6.9±0.3 22.6±0.7 36.3±0.5 41.1±0.6
N-30% W0D2 4.0±0.2 6.7±0.4 8.2±0.4 21.2±1.0 35.5±2.3 43.4±1.6
N-30% W0D3 4.5±0.2 7.0±0.2 8.2±0.3 22.8±0.8 35.5±0.8 41.6±1.5
N-30% W1D1 3.4±0.0 6.0±0.4 7.3±0.8 20.4±0.8 36.0±3.0 43.7±3.4
N-30% W1D2 3.7±0.2 6.5±0.4 8.6±0.5 19.7±0.7 34.6±2.3 45.7±1.6
N-30% W1D3 4.3±0.1 6.7±0.5 8.5±0.5 22.1±0.2 34.4±2.7 43.6±2.7
N-30% W2D1 3.2±0.1 6.3±0.2 7.0±0.1 19.4±0.4 38.2±0.5 42.4±0.8
N-30% W2D2 3.6±0.1 6.4±0.2 9.0±0.3 19.0±0.5 33.7±1.0 47.4±1.4
N-30% W2D3 3.9±0.2 6.4±0.6 9.1±0.2 20.1±1.0 33.0±2.5 46.9±1.6
N-30% W3D1 3.0±0.1 6.1±0.4 6.5±0.4 19.2±0.9 39.1±2.7 41.7±2.4
N-30% W3D2 3.3±0.3 6.1±0.0 9.1±0.3 17.8±1.5 33.0±0.2 49.2±1.5
N-30% W3D3 3.6±0.1 6.3±0.4 9.2±0.2 18.9±0.4 33.0±1.5 48.2±1.4
LSD0.05 0.23 0.48 1.06 1.27 2.82 3.17

Table 13

Analysis of variance for dry matter allocation in rice"

性状
Trait		 变异来源
Source of variation		 自由度
df		 平方和
Sum of square		 均方
Mean squares		 F值
F-value		 显著性
Significance
茎鞘干物质分配量
Dry matter allocation in stem and sheath		 栽培模式CM 26 52.70 2.03 14.03 < 0.01
误差Residual 52 7.51 0.14
总变异Total 80 61.20
叶片干物质分配量
Dry matter allocation in leaf		 栽培模式CM 26 69.44 2.67 173.65 < 0.01
误差Residual 52 0.80 0.02
总变异Total 80 70.56
穗部干物质分配量
Dry matter allocation in panicle		 栽培模式CM 26 130.98 5.04 13.34 < 0.01
误差Residual 52 19.63 0.38
总变异Total 80 158.31
茎鞘干物质分配比例
Dry matter allocation rate in stem and sheath		 栽培模式CM 26 284.86 10.96 2.67 < 0.01
误差Residual 52 213.76 4.11
总变异Total 80 520.57
叶片干物质分配比例
Dry matter allocation rate in leaf		 栽培模式CM 26 779.72 29.99 59.74 < 0.01
误差Residual 52 26.10 0.5
总变异Total 80 805.86
穗部干物质分配比例
Dry matter allocation rate in panicle		 栽培模式CM 26 1482.41 57.02 11.34 < 0.01
误差Residual 52 261.48 5.03
总变异Total 80 1767.02

Table 14

Effects of controlled water management and increased density on dry matter allocation under nitrogen reductions in rice"

栽培模式Cultivation model 干物质分配量Dry matter allocation (t hm-2) 干物质分配比例Dry matter allocation rate (%)
减氮
Nitrogen reduction		 控水增密
Water-density treatment		 茎鞘
Stem and sheath		 叶片
Leaf		 穗
Panicle		 茎鞘
Stem and sheath		 叶片
Leaf		 穗
Panicle
N0 W0D0(CK) 6.8±0.2 3.5±0.1 12.3±0.6 30.1±0.7 15.5±0.2 54.4±0.8
N-10% W0D0 6.4±0.2 3.3±0.1 11.3±1.0 30.5±1.0 15.8±0.9 53.7±1.8
N-10% W0D1 7.1±0.1 3.5±0.0 12.1±1.2 31.3±1.4 15.5±0.8 53.2±2.3
N-10% W0D2 7.5±0.1 4.2±0.2 11.4±0.9 32.5±1.4 18.2±0.9 49.3±2.2
栽培模式Cultivation model 干物质分配量Dry matter allocation (t hm-2) 干物质分配比例Dry matter allocation rate (%)
减氮
Nitrogen reduction		 控水增密
Water-density treatment		 茎鞘
Stem and sheath		 叶片
Leaf		 穗
Panicle		 茎鞘
Stem and sheath		 叶片
Leaf		 穗
Panicle
N-10% W0D3 8.1±0.2 5.9±0.3 9.8±0.5 34.1±0.7 24.8±0.4 41.2±0.5
N-10% W1D1 6.4±0.4 3.1±0.1 12.7±0.6 28.8±0.6 14.0±0.7 57.2±0.3
N-10% W1D2 7.1±0.2 3.8±0.1 11.5±1.0 31.7±1.3 17.0±0.7 51.3±1.8
N-10% W1D3 7.8±0.2 5.5±0.3 10.0±0.4 33.5±0.3 23.6±1.1 42.9±1.4
N-10% W2D1 6.2±0.2 2.9±0.0 12.5±0.6 28.7±0.2 13.4±0.5 57.9±0.7
N-10% W2D2 7.1±0.2 3.5±0.2 11.7±0.9 31.9±0.6 15.7±1.3 52.4±1.8
N-10% W2D3 7.2±0.3 4.8±0.1 10.9±0.4 31.4±0.3 21.0±0.3 47.6±0.1
N-10% W3D1 5.3±0.3 2.5±0.2 11.0±0.7 28.2±1.6 13.3±0.2 58.5±1.4
N-10% W3D2 7.0±0.2 3.2±0.2 10.6±0.9 33.7±1.5 15.4±0.1 50.9±1.4
N-10% W3D3 6.9±0.1 4.0±0.2 10.2±0.4 32.7±1.1 19.0±0.6 48.3±0.8
N-30% W0D0 4.9±0.1 2.5±0.1 9.2±1.0 29.6±2.0 15.1±0.6 55.3±2.5
N-30% W0D1 5.5±0.3 2.4±0.1 8.9±0.7 32.8±2.0 14.3±0.9 52.9±2.8
N-30% W0D2 6.5±0.2 3.2±0.2 9.2±0.2 34.4±0.9 16.9±0.6 48.7±0.5
N-30% W0D3 6.8±0.2 4.1±0.2 8.8±0.1 34.5±0.8 21.0±0.8 44.5±0.1
N-30% W1D1 5.4±0.1 2.3±0.1 9.0±0.7 32.4±1.7 13.8±0.6 53.8±2.2
N-30% W1D2 6.0±0.1 2.8±0.1 10.0±0.7 32.0±1.5 14.9±0.8 53.2±2.1
N-30% W1D3 6.3±0.1 3.8±0.2 9.4±0.1 32.3±0.0 19.5±0.6 48.2±0.7
N-30% W2D1 5.4±0.1 2.2±0.1 8.9±0.1 32.7±0.4 13.3±0.4 53.9±0.4
N-30% W2D2 5.9±0.4 2.8±0.1 10.3±0.4 31.1±2.0 14.7±0.4 54.2±2.1
N-30% W2D3 6.1±0.2 3.8±0.2 9.5±0.1 31.4±0.5 19.6±0.6 49.0±1.1
N-30% W3D1 5.2±0.1 2.0±0.1 8.4±0.4 33.4±1.1 12.8±0.7 53.8±1.4
N-30% W3D2 6.3±0.1 3.1±0.2 9.1±0.3 34.1±0.7 16.8±1.0 49.2±1.4
N-30% W3D3 6.9±0.1 3.3±0.1 8.9±0.1 36.1±0.2 17.3±0.4 46.7±0.2
LSD0.05 0.31 0.24 1.04 1.86 1.13 2.47
[1] 安宁, 范明生, 张福锁. 水稻最佳作物管理技术的增产增效作用. 植物营养与肥料学报, 2015,21:846-852.
An N, Fan M S, Zhang F S. Best crop management practices increase rice yield and nitrogen use efficiency. Plant Nutr Fert Sci, 2015,21:846-852 (in Chinese with English abstract).
[2] Li M, Zhang H C, Yang X, Ge M J, Ma Q, Wei H Y, Dai Q G, Huo Z Y, Xu K, Luo D Q. Accumulation and utilization of nitrogen, phosphorus and potassium of rice cultivars with high yield and high N use efficiency. Field Crops Res, 2014,161:55-63.
[3] 魏海燕, 王亚江, 孟天瑶, 葛梦婕, 张洪程, 戴其根, 霍中洋, 许轲. 机插超级粳稻产量、品质及氮肥利用率对氮肥的响应. 应用生态学报, 2014,25:488-496.
Wei H Y, Wang Y J, Meng T Y, Ge M J, Zhang H C, Dai Q G, Huo Z Y, Xu K. Response of yield, quality and nitrogen use efficiency to nitrogen fertilizer from mechanical transplanting super japonica rice. Chin J Appl Ecol, 2014,25:488-496 (in Chinese with English abstract).
[4] 张洪程, 马群, 杨雄, 李敏, 葛梦婕, 李国业, 戴其根, 霍中洋, 许轲, 魏海燕, 高辉, 刘艳阳. 水稻品种氮肥群体最高生产力及其增长规律. 作物学报, 2012,38:86-98.
Zhang H C, Ma Q, Yang X, Li M, Ge M J, Li G Y, Dai Q G, Huo Z Y, Xu K, Wei H Y, Gao H, Liu Y Y. The highest population productivity of nitrogen fertilization and its variation rules in rice cultivars. Acta Agron Sin, 2012,38:86-98 (in Chinese with English abstract).
[5] Tang L, Xu Z J, Chen W F. Advances and prospects of super rice breeding in China. J Integr Agric, 2017,16:984-991.
[6] Zhu D W, Zhang H C, Guo B W, Xu K, Dai Q G, Wei H Y, Gao H, Hu Y J, Cui P Y, Huo Z Y. Effects of nitrogen level on yield and quality of japonica soft super rice. J Integr Agric, 2017,16:1018-1027.
[7] Yang Z, Wang Z, Yang C, Yang Z, Li H, Wu Y. Physiological responses and small RNAs changes in maize under nitrogen deficiency and resupply. Genes Genomics, 2019,41:1183-1194.
pmid: 31313105
[8] Huang M, Shan S L, Xie X B, Cao F B, Zou Y B. Why high grain yield can be achieved in single seedling machine transplanted hybrid rice under dense planting conditions? J Integr Agric, 2018,17:1299-1306.
[9] 胡雅杰, 曹伟伟, 钱海军, 邢志鹏, 张洪程, 戴其根, 霍中洋, 许轲, 魏海燕, 郭保卫, 高辉, 沙安勤, 周有炎, 刘国林. 钵苗机插密度对不同穗型水稻品种产量、株型和抗倒伏能力的影响. 作物学报, 2015,41:743-757.
Hu Y J, Cao W W, Qian H J, Xing Z P, Zhang H C, Dai Q G, Huo Z Y, Xu K, Wei H Y, Guo B W, Gao H, Sha A Q, Zhou Y Y, Liu G L. Effect of planting density of mechanically transplanted pot seedlings on yield plant type and lodging resistance in rice with different panicle types. Acta Agron Sin, 2015,41:743-757 (in Chinese with English abstract).
[10] 许俊伟, 孟天瑶, 荆培培, 张洪程, 李超, 戴其根, 魏海燕, 郭保卫. 机插密度对不同类型水稻抗倒伏能力及产量的影响. 作物学报, 2015,41:1767-1776.
Xu J W, Meng T Y, Jing P P, Zhang H C, Li C, Dai Q G, Wei H Y, Guo B W. Effect of mechanical-transplanting density on lodging resistance and yield in different types of rice. Acta Agron Sin, 2015,41:1767-1776 (in Chinese with English abstract).
[11] 蒋鹏, 熊洪, 张林, 朱永川, 周兴兵, 刘茂, 郭晓艺, 徐富贤. 不同生态条件下施氮量和移栽密度对杂交稻氮、磷、钾吸收积累的影响. 植物营养与肥料学报, 2017,23:342-350.
Jiang P, Xiong H, Zhang L, Zhu Y C, Zhou X B, Liu M, Guo X Y, Xu F X. Effects of N rate and planting density on nutrient uptake and utilization of hybrid rice under different ecological conditions. Plant Nutr Fert Sci, 2017,23:342-350 (in Chinese with English abstract).
[12] 吴培, 陈天晔, 袁嘉琦, 黄恒, 邢志鹏, 胡雅杰, 朱明, 李德剑, 刘国林, 张洪程. 施氮量和直播密度互作对水稻产量形成特征的影响, 中国水稻科学, 2019,33:269-281.
Wu P, Chen T Y, Yuan J Q, Huang H, Xing Z P, Hu Y J, Zhu M, Li D J, Liu G L, Zhang H C. Effects of interaction between nitrogen application rate and direct-sowing density on yield formation characteristics of rice. Chin J Rice Sci, 2019,33:269-281 (in Chinese with English abstract).
[13] 徐新朋, 周卫, 梁国庆, 孙静文, 王秀斌, 何萍, 徐芳森, 余喜初. 氮肥用量和密度对双季稻产量及氮肥利用率的影响. 植物营养与肥料学报, 2015,21:763-772.
Xu X P, Zhou W, Liang G Q, Sun J W, Wang X B, He P, Xu F S, Yu X C. Effects of nitrogen and density interactions on grain yield and nitrogen use efficiency of double-rice systems. Plant Nutr Fert Sci, 2015,21:763-772 (in Chinese with English abstract).
[14] 朱相成, 张振平, 张俊, 邓艾兴, 张卫建. 增密减氮对东北水稻产量、氮肥利用效率及温室效应的影响. 应用生态学报, 2016,27:453-461.
Zhu X C, Zhang Z P, Zhang J, Deng A X, Zhang W J. Effects of increased planting density with reduced nitrogen fertilizer application on rice yield, N use efficiency and greenhouse gas emission in Northeast China. Chin J Appl Ecol, 2016,27:453-461 (in Chinese with English abstract).
[15] 李俊峰, 杨建昌. 水分与氮素及其互作对水稻产量和水肥利用效率的影响研究进展. 中国水稻科学, 2017,31:327-334.
Li J F, Yang J C. Research advances in the effects of water, nitrogen and their interaction on the yield, water and nitrogen use efficiencies of rice. Chin J Rice Sci, 2017,31:327-334 (in Chinese with English abstract).
[16] Zhang H, Xue Y, Wang Z, Yang J, Zhang J. An alternate wetting and moderate soil drying regime improves root and shoot growth in rice. Crop Sci, 2009,49:2246-2260.
[17] 张自常, 李鸿伟, 曹转勤, 王志琴, 杨建昌. 施氮量和灌溉方式的交互作用对水稻产量和品质影响. 作物学报, 2013,39:84-92.
Zhang Z C, Li H W, Cao Z Q, Wang Z Q, Yang J C. Effect of interaction between nitrogen rate and irrigation regime on grain yield and quality of rice. Acta Agron Sin, 2013,39:84-92 (in Chinese with English abstract)
[18] Lin X Q, Zhou W J, Zhu D F, Chen H Z, Zhang Y P. Nitrogen accumulation, remobilization and partitioning in rice under an improved irrigation practice. Field Crops Res, 2006,127:448-454.
[19] 王绍华, 曹卫星, 丁艳锋, 田永超, 姜东. 水氮互作对水稻氮吸收与利用的影响. 中国农业科学, 2004,37:497-501.
Wang S H, Cao W X, Ding Y F, Tian Y C, Jiang D. Interactions of water management and nitrogen fertilizer on nitrogen absorption and utilization in rice. Sci Agric Sin, 2004,37:497-501 (in Chinese with English abstract).
[20] Sun Y J, Ma J, Sun Y Y, Xu H, Yang Z Y, Liu S J, Jia X W, Zheng H Z. The effects of different water and nitrogen managements on yield and nitrogen use efficiency in hybrid rice of China. Field Crops Res, 2012,127:85-98.
[21] 李敏. 水稻高产与氮高效的协同机理. 贵阳: 贵州科技出版社, 2019. pp 103-118.
Li M. The Coordination Mechanism of High Yield and High Nitrogen Use Efficiency in Rice. Guiyang: Guizhou Science and Technology Publishers, 2019. pp 103-118(in Chinese).
[22] 汤国平, 熊强强, 钟蕾, 陈小荣, 朱昌兰, 彭小松, 贺浩华. 双季早稻氮素亏缺补偿效应的形成及其生理机制初探. 核农学报, 2017,31:1585-1593.
Tang G P, Xiong Q Q, Zhong L, Chen X R, Zhu C L, Peng X S, He H H. Primary research on the formation and its physiological mechanism of nitrogen deficiency compensatory effects in double-season early rice. J Nucl Agric Sci, 2017,31:1585-1593 (in Chinese with English abstract).
[23] 杨建昌, 张建华. 促进稻麦同化物转运和籽粒灌浆的途径与机制. 科学通报, 2018,63:2932-2943.
Yang J C, Zhang J H. Approach and mechanism in enhancing the remobilization of assimilates and grain-filling in rice and wheat. Chin Sci Bull, 2018,63:2932-2943 (in Chinese with English abstract).
[24] 陈佳娜, 曹放波, 谢小兵, 单双吕, 高伟, 李志斌, 黄敏, 邹应斌. 机插条件下低氮密植栽培对“早晚兼用”双季稻产量和氮素吸收利用的影响. 作物学报, 2016,42:1176-1187.
Chen J N, Cao F B, Xie X B, Shan S L, Gao W, Li Z B, Huang M, Zou Y B. Effect of low nitrogen rate combined with high plant density on yield and nitrogen use efficiency of machine- transplanted early-late season double cropping rice. Acta Agron Sin, 2016,42:1176-1187 (in Chinese with English abstract).
[25] 杨建昌, 杜永, 吴长付, 刘立军, 王志琴, 朱庆森. 超高产粳型水稻生长发育特性的研究. 中国农业科学, 2006,39:1336-1345.
Yang J C, Du Y, Wu C F, Liu L J, Wang Z Q, Zhu Q S. Growth anddevelopment characteristics of super-high-yielding mid-season japonica rice. Sci Agric Sin, 2006,39:1336-1345 (in Chinese with English abstract).
[26] 陈婷婷, 许更文, 钱希旸, 王志琴, 张耗, 杨建昌. 花后轻干-湿交替灌溉提高水稻籽粒淀粉合成相关基因的表达. 中国农业科学, 2015,48:1288-1299.
Chen T T, Xu G W, Qian X Y, Wang Z Q, Zhang H, Yang J C. Post-anthesis alternate wetting and moderate soil drying irrigation enhance gene expressions of enzymes involved in starch synthesis in rice grains. Sci Agric Sin, 2015,48:1288-1299 (in Chinese with English abstract).
[27] 徐云姬, 许阳东, 李银银, 钱希旸, 王志琴, 杨建昌. 干湿交替灌溉对水稻花后同化物转运和籽粒灌浆的影响. 作物学报, 2018,44:554-568.
Xu Y J, Xu Y D, Li Y Y, Qian X Y, Wang Z Q, Yang J C. Effect of alternate wetting and drying irrigation on post-anthesis remobilization of assimilates and grain filling of rice. Acta Agron Sin, 2018,44:554-568 (in Chinese with English abstract).
[28] Yao F, Huang J, Cui K, Nie L, Xiang J, Liu X, Wu W, Chen M, Peng S. Agronomic performance of high-yielding rice variety grown under alternate wetting an drying irrigation. Field Crops Res, 2012,126:16-22.
[29] 褚光, 展明飞, 朱宽宇, 王志琴, 杨建昌. 干湿交替灌溉对水稻产量与水分利用效率的影响. 作物学报, 2016,42:1026-1036.
Chu G, Zhan M F, Zhu K Y, Wang Z Q, Yang J C. Effects of alternate wetting and drying irrigation on yield and water use efficiency of rice. Acta Agron Sin, 2016,42:1026-1036 (in Chinese with English abstract).
[1] YAN Jia-Qian, GU Yi-Biao, XUE Zhang-Yi, ZHOU Tian-Yang, GE Qian-Qian, ZHANG Hao, LIU Li-Jun, WANG Zhi-Qin, GU Jun-Fei, YANG Jian-Chang, ZHOU Zhen-Ling, XU Da-Yong. Different responses of rice cultivars to salt stress and the underlying mechanisms [J]. Acta Agronomica Sinica, 2022, 48(6): 1463-1475.
[2] YANG Jian-Chang, LI Chao-Qing, JIANG Yi. Contents and compositions of amino acids in rice grains and their regulation: a review [J]. Acta Agronomica Sinica, 2022, 48(5): 1037-1050.
[3] ZHOU Jing-Yuan, KONG Xiang-Qiang, ZHANG Yan-Jun, LI Xue-Yuan, ZHANG Dong-Mei, DONG He-Zhong. Mechanism and technology of stand establishment improvements through regulating the apical hook formation and hypocotyl growth during seed germination and emergence in cotton [J]. Acta Agronomica Sinica, 2022, 48(5): 1051-1058.
[4] QIU Hong-Mei, CHEN Liang, HOU Yun-Long, WANG Xin-Feng, CHEN Jian, MA Xiao-Ping, CUI Zheng-Guo, ZHANG Ling, HU Jin-Hai, WANG Yue-Qiang, QIU Li-Juan. Research progress on genetic regulatory mechanism of seed color in soybean (Glycine max) [J]. Acta Agronomica Sinica, 2021, 47(12): 2299-2313.
[5] LI Na-Na, LIU Ying, ZHANG Hao-Jie, WANG Lu, HAO Xin-Yuan, ZHANG Wei-Fu, WANG Yu-Chun, XIONG Fei, YANG Ya-Jun, WANG Xin-Chao. Promoter cloning and expression analysis of the hexokinase gene CsHXK2 in tea plant (Camellia sinensis) [J]. Acta Agronomica Sinica, 2020, 46(10): 1628-1638.
[6] Yu-Ting ZHANG,Shao-Ping LU,Cheng JIN,Liang GUO. Transcriptional regulation of oil biosynthesis in different parts of Wanyou 20 (Brassica napus) seeds [J]. Acta Agronomica Sinica, 2019, 45(3): 381-389.
[7] Yu-Xin YANG,Zhi-Qin SANG,Cheng XU,Wen-Shuang DAI,Cheng ZOU. Identification of maize flowering gene co-expression modules by WGCNA [J]. Acta Agronomica Sinica, 2019, 45(2): 161-174.
[8] LIU Hao,LU Qing,LI Hai-Fen,LI Shao-Xiong,CHEN Xiao-Ping,LIANG Xuan-Qiang,HONG Yan-Bin. Molecular mechanism of stearoyl-ACP desaturase gene FAB2 expression in peanut [J]. Acta Agronomica Sinica, 2019, 45(11): 1638-1648.
[9] HAO Xin-Yuan,YUEChuan,TANG Hu,QIAN Wen-Jun,WANG Yu-Chun,WANG Lu, WANG Xin-Chao,YANG Ya-Jun. Cloning of β-amylase Gene (CsBAM3) and ItsExpression ModelResponseto Cold Stress in Tea Plant [J]. Acta Agron Sin, 2017, 43(10): 1417-1425.
[10] SHEN Li-Hua,LI Bi-Liang,REN Yong-Jie,LI Cheng-Xun,ZHONG Yong-Jia,FANG Chang-Xun,LIN Wen-Xiong. Phenolic Acid Synthesis of Allelopathic Rice Regulated by OsMYB and Its Weed Inhibition [J]. Acta Agron Sin, 2015, 41(04): 531-538.
[11] XU Heng-Heng,NI LI,LIU Shu-Jun,WANG Wei-Qing,WANG Wei-Ping,ZHANG Hong,CHENG Hong-Yan,SONG Song-Quan. Research Progress in Seed Germination and Its Control [J]. Acta Agron Sin, 2014, 40(07): 1141-1156.
[12] SHAN Lei,TANG Gui-Ying,XU Ping-Li,ZHAO Xue-Bin,LIU Zhan-Ji. Cloning and Analysis of 5′ Flanking Regions of Arachisis hypogaea L. Genes Encoding Plastidial Acyl Carrier Protein [J]. Acta Agron Sin, 2014, 40(03): 381-389.
[13] CAI Tie,XU Hai-Cheng,YIN Yan-Ping,YANG Wei-Bing,PENG Dian-Liang,NI Ying-Li,XU Cai-Long,YANG Dong-Qing,WANG Zhen-Lin. Mechanisms of Tiller Occurrence Affected by Exogenous IAA, GA3, and ABA in Wheat with Different Spike-types [J]. Acta Agron Sin, 2013, 39(10): 1835-1842.
[14] WANG Ye,TIAN Xiao-Li. Systemic Feedback Regulation of K+ Uptake in Cotton at Seedling Stage [J]. Acta Agron Sin, 2013, 39(10): 1843-1848.
[15] HOU Hai-Peng,DING Zai-Song,MA Wei,LI Cong-Feng,ZHAO Ming. Yield Performance Characteristics and Regulation Effects of Plant Density and Sub-Soiling Tillage System for High Yield Population of Summer Maize [J]. Acta Agron Sin, 2013, 39(06): 1069-1077.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd