控水增密模式对杂交籼稻减氮后产量形成的调控效应
李敏, 罗德强, 江学海, 蒋明金, 姬广梅, 李立江, 周维佳

Regulations of controlled irrigations and increased densities on yield formation of hybrid indica rice under nitrogen-reduction conditions
Min LI, De-Qiang LUO, Xue-Hai JIANG, Ming-Jin JIANG, Guang-Mei JI, Li-Jiang LI, Wei-Jia ZHOU
表3 控水增密对水稻减氮后产量及其构成的影响(2017)
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