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Frontiers of Agriculture in China

ISSN 1673-7334

ISSN 1673-744X(Online)

CN 11-5729/S

Frontiers of Agriculture in China  2011, Vol. 5 Issue (3): 253-261   https://doi.org/10.1007/s11703-011-1069-3
  RESEARCH ARTICLE 本期目录
Effects of chromosome substitution on the utilization efficiency of nitrogen, phosphorus, and potassium in wheat
Effects of chromosome substitution on the utilization efficiency of nitrogen, phosphorus, and potassium in wheat
Chengjin GUO1, Jincai LI2, Wensuo CHANG1, Lijun ZHANG1, Xirong CUI1, Shuwen LI3, Kai XIAO1()
1. College of Agronomy, Agricultural University of Hebei, Baoding 071001, China; 2. Administration Office of Science and Technology, Agricultural University of Hebei, Baoding 071001, China; 3. College of Resource and Environment, Agricultural University of Hebei, Baoding 071001, China
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Abstract

A complete set of chromosome substitution lines with genetic background of Chinese Spring (CS) were used to determine the effects of each chromosome on utilization efficiencies of nitrogen, phosphorus, and potassium in wheat (Triticum aestivum L.). In each line, only one pair of chromosomes in CS genome was substituted by the corresponding one of donor Synthetic 6x. Under normal growth conditions supplied with enough inorganic nutrients, the dry mass per plant and the utilization efficiencies of nitrogen (N), phosphorus (P), and potassium (K) in plants varied largely among CS, Synthetic 6x, and the chromosome substitution lines (1A–7A, 1B–7B, and 1D–7D). Of these, 1A substituted by the chromosome 1A of Synthetic 6x (other lines are the same as 1A hereafter) had the highest plant dry mass and the accumulative amount of N and K, and 1B behaved to have the highest plant accumulative P amount. 1D and 4D had the lowest accumulative P amount and plant dry mass, respectively. 4B showed the lowest plant accumulative N and K. Thus, chromosome 1A of Synthetic 6x contains major genes endowing plant capacities of higher dry mass, accumulative N and K, whereas chromosome 1B of Synthetic 6x carries major genes improving plant accumulative P capacities. The lines, together with CS and the donor, could be classified into three groups including high-efficiency, mid-efficiency, and low-efficiency based on plant dry mass. Regression analysis suggested that there are significantly positive correlations between plant dry mass and the accumulated amount of N, P, and K. Further, there are positively significant correlations among the plant accumulative N amount and some plant traits and physiological parameters, as well as positively significant correlations between the accumulative amount of P and K and the photosynthetic rate (Pn).

Key wordswheat (Triticum aestivum L.)    chromosome substitution line    nitrogen efficiency    phosphorus efficiency    potassium efficiency    plant growth trait    photosynthetic parameter
收稿日期: 2010-09-19      出版日期: 2011-09-05
Corresponding Author(s): XIAO Kai,Email:xiaokai@hebau.edu.cn   
 引用本文:   
. Effects of chromosome substitution on the utilization efficiency of nitrogen, phosphorus, and potassium in wheat[J]. Frontiers of Agriculture in China, 2011, 5(3): 253-261.
Chengjin GUO, Jincai LI, Wensuo CHANG, Lijun ZHANG, Xirong CUI, Shuwen LI, Kai XIAO. Effects of chromosome substitution on the utilization efficiency of nitrogen, phosphorus, and potassium in wheat. Front Agric Chin, 2011, 5(3): 253-261.
 链接本文:  
https://academic.hep.com.cn/fag/CN/10.1007/s11703-011-1069-3
https://academic.hep.com.cn/fag/CN/Y2011/V5/I3/253
Fig.1  
Fig.2  
LinesDry mass (mg per plant)N content (%)P content (%)K content (%)Accumulative N (mg per plant)Accumulative P (mg per plant)Accumulative K (mg per plant)N efficiency (mg per mg N)P efficiency (mg per mg P)K efficiency (mg per mg K)
CS89a5.64b0.89bc0.78a5.02a0.79b0.70a17.73a112.66b127.14c
Synthetic 6x68b6.47a1.91a0.69b4.40b1.29a0.46b15.45b52.71c147.83ab
1A845.711.010.754.800.840.6317.50100.00133.33
2A726.050.900.684.350.640.4916.55112.50146.94
3A725.480.970.693.940.700.5018.27102.86144.00
4A595.480.920.663.230.540.3918.27109.26151.28
5A645.750.890.733.680.570.4617.39112.28139.13
6A625.591.080.733.460.670.4517.9292.54137.78
7A715.461.010.753.870.710.5318.35100.00133.96
1B715.451.490.753.871.060.5318.3566.98133.96
2B794.971.080.683.930.850.5420.1092.94146.30
3B755.540.950.694.150.710.5218.07105.63144.23
4B574.970.850.642.830.480.3620.14118.75158.33
5B625.80.790.673.590.490.4117.27126.53151.22
6B735.430.850.713.960.620.5218.43117.74140.38
7B645.790.840.723.70.530.4617.30120.75139.13
1D645.790.590.723.710.370.4617.25172.97139.13
2D654.870.840.673.16850.5450.4320.51119.27151.16
3D625.270.880.703.270.540.4318.96114.81144.19
4D545.390.840.592.910.450.3118.56120.00174.19
5D755.650.780.674.230.590.5017.73127.12150.00
6D825.640.800.654.630.650.5317.71126.15154.72
7D755.560.830.654.170.620.4917.99120.97153.06
A-D Ave68.67b5.51b0.91bc0.69b3.78c0.63b0.47b18.22a113.34b146.02ab
A-D SE8.210.300.170.040.520.150.071.0119.849.68
A-DCV (%)11.965.3818.876.0013.7724.6414.965.5717.506.63
A Ave69.14b5.65b0.97b0.71b3.90c0.67b0.49b17.75a104.20b140.92b
A SE8.380.210.070.040.530.100.070.657.456.73
A CV (%)12.113.767.195.0413.6614.8815.223.677.154.78
B Ave68.71b5.42b0.98b0.69b3.72c0.68b0.48b18.52a107.05b144.79ab
B SE7.890.340.250.040.430.210.071.1920.928.12
B CV (%)11.486.3125.055.1811.6131.6914.566.4019.545.61
D Ave68.14b5.45b0.79c0.66b3.73c0.54c0.45b18.39a128.76a152.35a
D SE9.580.310.100.040.640.100.071.1019.9411.04
D CV (%)14.065.6812.036.2617.1618.2815.975.9715.497.25
Tab.1  
LinesPlant height (cm)Leaf ageRoot numberLeaf area (cm2 per plant)SP (mg/g FW)Chla (mg/g FW)Chlb (mg/g FW)Chla+Chlb (mg/g FW)Caro (mg/g FW)Fv/FmPn (μmol/(m2·s)
CS33.1a3.6a4.8a22.6a49.48b1.36a0.40a1.76a0.29a0.861a21.03a
Synthetic 6x26.1b3.2b3.7c15.1c58.90a1.39a0.37a1.76a0.27a0.855a16.12b
1A31.73.7419.146.791.30.351.650.260.85117.67
2A33.53.54.219.346.621.390.371.760.290.85222
3A34.83.84.322.148.691.40.361.760.270.85617.17
4A31.23.63.818.949.721.430.41.830.310.84718.84
5A31.73.73.219.639.991.320.351.670.260.86917.17
6A30.53.63.217.634.941.290.411.70.290.84316.03
7A34.13.44.518.636.41.180.331.510.240.85016.16
1B32.23.54.220.246.441.290.361.650.250.86117.15
2B32.93.74.822.855.191.360.371.730.270.85217.5
3B35.83.74.823.050.111.420.381.80.290.87421.03
4B31.23.63.518.342.641.140.361.50.270.83912.33
5B29.13.71.816.652.211.450.411.860.30.85118.16
6B35.53.54.719.450.61.380.381.760.270.86117.83
7B34.23.44.219.445.981.350.361.710.270.85118.33
1D32.93.54.518.642.361.280.351.630.260.86315.5
2D32.73.63.719.550.981.310.341.650.260.86413.03
3D29.63.6415.451.391.20.311.510.230.85416.16
4D30.63.53.216.444.581.090.251.340.250.85218.1
5D31.53.94.721.946.81.420.381.80.290.86517.16
6D38.93.54.523.948.051.470.41.870.280.86218.33
7D32.13.93.222.761.41.380.351.730.270.85815.16
A-D Ave32.70a3.61a3.95b19.68b47.23c1.33a0.36ab1.69a0.27a0.856 a17.18b
A-D Se2.300.140.742.316.020.100.040.130.020.0082.20
A-DCV (%)7.035.4518.7211.7612.747.829.987.907.350.96612.82
A Ave32.50a3.61a3.89bc19.31b43.31d1.33a0.37a1.70a0.27a0.856a17.86b
A Se1.620.130.521.386.080.090.030.100.020.0072.05
A CV (%)5.005.1513.337.1714.046.417.826.068.640.84911.50
B Ave32.99a3.59a4.00b19.96b49.02b1.34a0.37a1.72a0.27a0.853a17.48b
B Se2.400.121.082.314.250.100.020.120.020.0112.60
B CV (%)7.284.7026.8911.588.687.644.846.775.901.29114.87
D Ave32.61a3.64a3.97b19.77b49.37b1.31a0.34b1.65b0.26a0.860a16.21b
D Se3.010.180.633.226.220.130.050.180.020.0051.86
D CV (%)9.226.8615.7716.2712.5910.0714.4110.907.520.59611.46
Tab.2  
Independent variable (x)Accumulative N per plant (y)Accumulative P per plant (y)Accumulative K per plant (y)
y = ax + bry = ax + bry =ax + br
Plant heighty = 0.123x - 0.3420.501*y = -0.011x + 0.762-0.463y = 0.016x - 0.03940.425
Leaf agey = 0.774x + 1.8170.188y = 0.0778x + 0.43150.071y = 0.0638x + 0.31680.105
Primary root numbery = 0.375x + 2.3420.488*y = -0.011x + 0.762-0.463y = 0.066x + 0.2200.582
Leaf area per planty = 0.162x + 0.6380.661*y = 0.030x + 0.0360.457y = 0.022x + 0.0580.597*
Soluble protein contenty = 0.021x + 2.8680.211y = 0.003x + 0.5130.097y = 0.002x + 0.3910.137
Chlay = 3.099x - 0.2760.549*y = 0.261x + 0.2880.171y = 0.311x + 0.0710.374
Chlby = 6.524x + 1.4760.411y = 0.952x + 0.2900.222y = 0.884x + 0.1630.379
Chla+by = 2.352x - 0.1350.538*y = 0.229x + 0.2490.193y = 0.254x + 0.0550.394
Caroy = 6.796x + 1.9950.235y = -0.556x + 0.7860.071y = 0.265x + 0.4120.062
Fv/Fmy = 26.482x - 18.8340.391y = 2.176x - 1.2280.119y = 3.390x - 2.4190.340
Pny = 0.141x + 1.40110.564*y = 0.019x + 0.3120.476*y = 0.015x + 0.2260.485*
Tab.3  
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