Crops ›› 2016, Vol. 32 ›› Issue (3): 21-26.doi: 10.16035/j.issn.1001-7283.2016.03.005

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Inheritance of Resistance to Race 4 of Cyst Nematode in Soybean

Zhang Haiping1,2,Wu Shufeng2,Wang Zhi2   

  1. 1Shanxi University,Taiyuan 030031,Shanxi,China
    2Institute of Crop Germplasm Resources,Shanxi Academy of Agricultural Sciences/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on Loess Plateau,Ministry of Agriculture,P.R.China/Shanxi Key Laboratory of Genetic Resources and Genetic Improvement,Taiyuan 030031,Shanxi,China
  • Received:2016-04-13 Revised:2016-05-07 Online:2016-06-15 Published:2018-08-26

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Abstract:

Soybean cyst nematode (SCN) is a destructive pest in soybean production worldwide and causes great yield loss every year. There are 14 SCN races worldwide, among which 8 races are in china. Race 4 of SCN (SCN4), which is the predominant race in Huang-Huai-hai soybean production area, has the most virulence. A soybean cultivar-CBL, which was isolated from Chibuliuheidou with high resistance to SCN, but its growth period was shorter than Chibuliuheidou. In this paper, genetic model of CBL was studied, which will help for cloning of resistant gene and resistant marker exploitation. Three generations (F1, F2, F2:3 ) were generated from the crosses between CBL and pin 75-14, which was a high susceptible to SCN4. Genetic model was analyzed by the method of mixed major gene plus polygene genetic model. The resistant inheritance to SCN4 was controlled by two additive-dominance-espistatic major genes and additive-dominance-espistatic polygenes. The F2 and F2:3 heritabilities of major genes were estimated to be 64.47% and 75.99%, respectively. So resistance plants can be selected in early filial generation.

Key words: Soybean, Soybean cyst nematode, Major gene plus polygene, Inheritance

Table 1

The SCN4 disease index of each generation"

世代
Generation		 病情指数分布Disease level distribution(株) 总数
(株)
Total		 平均病情指数(%)
Disease index		 标准差
SD
0~
10%		 10.1%~
20%		 20.1%~
30%		 30.1%~
40%		 40.1%~
50%		 50.1%~
60%		 60.1%~
70%		 70.1%~
80%		 80.1%~
90%		 90.1%~
100%		 >100%
P1 10 10 192.85 8.14
P2 10 10 0.28 0.13
F1 1 9 10 117.66 16.76
F2 10 6 4 9 10 5 6 6 6 4 52 118 102.00 55.77
F2∶3 8 6 3 4 6 17 13 13 6 11 31 118 72.03 27.25

Table 2

Maximum likelihood values and AIC value of genentic models from resistance"

模型代码
Model code		 模型
Model		 极大似然值
Max likelihood value		 AIC值
AIC value
A1 1MG-AD -4 039.66 8 087.326
A2 1MG-A -4 041.22 8 088.441
A3 1MG-EAD -4 040.94 8 087.885
A4 1MG-AEND -4 040.94 8 087.881
B1 2MG-ADI -3 785.66 7 591.325
B2 2MG-AD -3 890.82 7 793.635
B3 2MG-A -3 842.68 7 693.352
B4 2MG-EA -4 281.48 8 568.954
B5 2MG-AED -3 918.90 7 845.809
B6 2MG-EEAD -4 525.45 9 056.901
C0 PG-ADI -3 855.96 7 731.914
C1 PG-AD -3 924.15 7 862.299
D0 MX1-AD-ADI -3 814.41 7 648.811
D1 MX1-AD-AD -3 911.74 7 839.481
D2 MX1-A-AD -3 924.04 7 862.086
D3 MX1-EAD-AD -3 922.40 7 858.794
D4 MX1-AEND-AD -3 925.51 7 865.020
E0 MX2-ADI-ADI -3 777.41 7 586.823
E1 MX2-ADI-AD -3 779.71 7 587.411
E2 MX2-AD-AD -3 911.74 7 843.481
E3 MX2-A-AD -3 896.45 7 808.902
E4 MX2-EAED-AD -3 924.00 7 861.996
E5 MX2-AED-AD -3 880.57 7 777.141

Table 3

Fitness test results of models B1, E0 and E1"

模型Model 世代Generation U12 U22 U32 nW2 Dn
B1 P1 5.3455(0.0208) 21.3231(0.0000) 90.5607(0.0000) 8.4035(0.0121) 0.0096(1.0000)
P2 5.5307(0.0187) 21.6204(0.0000) 90.0765(0.0000) 8.4195(0.0122) 0.0096(1.0000)
F1 6.4420(0.0111) 24.9129(0.0000) 102.7199(0.0000) 9.4931(0.0166) 0.0086(1.0000)
F2 0.3390(0.5604) 1.3029(0.2537) 5.3397(0.0208) 3.1920(0.0002) 0.0042(1.0000)
F2∶3 1.1842(0.2765) 0.0000(0.9974) 17.8719(0.0000) 3.2920(0.0002) 0.0584(0.3824)
E0 P1 3.5646(0.0590) 18.2294(0.0000) 95.3780(0.1035) 8.2496(0.0115) 0.0096(1.0000)
P2 3.5646(0.0590) 18.2294(0.0874) 95.3780(0.5347) 8.2496(0.1215) 0.0096(1.0000)
F1 2.9674(0.0850) 18.6210(0.0000) 112.1310(0.0000) 9.1941(0.0153) 0.0086(1.0000)
F2 1.9975(0.1576) 2.2509(0.1335) 0.2782(0.5979) 3.5021(0.3253) 0.0042(1.0000)
F2∶3 0.0740(0.7855) 0.6536(0.4188) 18.3838(0.0000) 3.1149(0.0902) 0.0397(0.8372)
E1 P1 4.1602(0.0414) 19.3183(0.0000) 93.7310(0.0000) 8.3011(0.0117) 0.0096(1.0000)
P2 4.1602(0.0414) 19.3183(0.0000) 93.7310(0.0000) 8.3011(0.0117) 0.0096(1.0000)
F1 7.6119(0.0058) 26.7112(0.0000) 99.7542(0.0000) 9.5936(0.0170) 0.0086(1.0000)
F2 0.0866(0.7685) 0.3651(0.5457) 12.6517(0.0004) 3.1534(0.0002) 0.0042(1.0000)
F2∶3 1.2685(0.2600) 3.2737(0.0704) 8.2673(0.0040) 3.2366(0.0002) 0.0603(0.3435)

Table 4

Estimate of genentic parameter of fitted model"

一阶遗传参数
1st order genentic
parameter		 估计值
Estimate		 二阶遗传参数
2st order genentic
parameter		 估计值Estimate
F2 F2∶3
m1(m) -50.12 σf2 2 255.52 518.02
m2 9.79 σmg2 4 092.64 1 640.26
m3 18.12 σpg2 1 737.52 0
m4 78.99 σp2 6 348.18 2 158.28
m5 22.92 σ2 518.02 518.02
da(d) 18.11 hmg2 64.47% 75.99%
db 18.43 hpg2 27.37% 0
ha(h) -14.51
hb 54.48
i 18.09
jab 55.18
jba -15.66
l -58.73
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