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Frontiers of Agriculture in China

ISSN 1673-7334

ISSN 1673-744X(Online)

CN 11-5729/S

Front Agric Chin    2011, Vol. 5 Issue (3) : 253-261     DOI: 10.1007/s11703-011-1069-3
RESEARCH ARTICLE |
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).

Keywords wheat (Triticum aestivum L.)      chromosome substitution line      nitrogen efficiency      phosphorus efficiency      potassium efficiency      plant growth trait      photosynthetic parameter     
Corresponding Authors: XIAO Kai,Email:xiaokai@hebau.edu.cn   
Issue Date: 05 September 2011
URL:  
http://academic.hep.com.cn/fag/EN/10.1007/s11703-011-1069-3     OR     http://academic.hep.com.cn/fag/EN/Y2011/V5/I3/253
Fig.1  The dry mass and accumulated amount of N, P, and K in plants of CSLs, CS, and Synthetic 6x. Chinese Spring (CS) and Synthetic 6x are used as the recipient and donor of chromosomes, respectively. 1A to 7A, 1B to 7B, and 1D to 7D are chromosome substitution lines (CSLs) with just only a single pair of chromosome in CS substituted by the corresponding one of Synthetic 6x. Fig. 1A is the plant dry mass of CS, Synthetic 6x, and CSLs. The data shown are average±standard errors (). Fig. 1B is the plant accumulative N of CSLs, CS, and Synthetic 6x. Fig. 1C is the plant accumulative P of CSLs, CS, and Synthetic 6x. Fig. 1D is the plant accumulative K of CSLs, CS, and Synthetic 6x.
Fig.2  Regression analysis of plant accumulative amount of N, P, and K based on plant dry mass and nutrient utilization traits derived from CSLs, CS, and Synthetic 6x. A, D, and G show the results of regression analyses between plant accumulative N amount and plant dry mass (A), N content (D), and N efficiency (G), respectively. B, E, and H show the results of regression analyses between plant accumulative P amount and plant dry mass (B), P content (E), and P efficiency (H), respectively. C, F, and I show the results of regression analyses between plant accumulative K amount and plant dry mass (C), K content (F), and K efficiency (I), respectively. * and ** indicate that the regression coefficient reaches significant levels of 5% and 1%, respectively.
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  Plant day masses and nutrient utilization traits of the CSLs, CS, and Synthetic 6x
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  Plant morphological traits and photosynthetic parameters in CSLs, CS, and Synthetic 6x
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  Regression analysis of accumulative N, P, and K, plant morphological traits and photosynthetic parameters in CSLs
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