Crops ›› 2016, Vol. 32 ›› Issue (4): 101-104.doi: 10.16035/j.issn.1001-7283.2016.04.016

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Genetic Analysis on Chlorophyll SPAD Value of Seedling Leaf in Maize Variety Xianyu 335

Li Zhongnan1,Wang Kewei1,Wang Yueren2,Wu Shenghui2,Li Guangfa2   

  1. 1 Jilin Agricultural University,Changchun 130118,Jilin,China
    2 Tonghua Academy of Agricultural Sciences,Meihekou 135007,Jilin,China
  • Received:2016-04-17 Revised:2016-06-22 Online:2016-08-15 Published:2018-08-26
  • Contact: Guangfa Li

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Abstract:

The chlorophyll SPAD value of seedling leaf was genetically analyzed withthe six generations of P1, P2, F1, B1, B2 and F2 in Xianyu 335 variety (PH6WC×PH4CV), using the joint analysis of major gene and polygene inheritance model.The results showed that the chlorophyll SPAD value in the seedling stage followed a mixed genetic model of two major genes additive plus polygene additive and dominance. It was mainly controlled by polygene genetic model, added major gene model.F1 had superior parent heterosis.The heritability of major gene plus polygene was bigger and the difference was small in three separating generations, which showed that the trait was genetically stable.

Key words: Maize, Xianyu 335, Chlorophyll SPAD value, Genetic analysis

Table 1

Basic parameters of each generation"

世代
Generation		 SPAD 标准差
Standard
deviation		 标准误
Standard
error		 变异系数(%)
Coefficient of variation
P1 49.02 2.3811 0.2485 4.86
P2 44.28 2.2006 0.2591 4.97
F1 53.53 2.4973 0.2949 4.67
B1 52.39 4.7841 0.2702 9.13
B2 49.89 4.6593 0.2661 9.34
F2 50.95 4.6254 0.2920 9.08

Table 2

The max likelihood and AIC values under candidate models"

模型Model Log_Max_likelihood_value AIC 模型Model Log_Max_likelihood_value AIC
1MG-AD -2 029.77 4 067.533 MX1-AD-ADI -2 008.73 4 041.453
1MG-A -2 091.90 4 189.808 MX1-AD-AD -2 013.47 4 044.943
1MG-EAD -2 041.30 4 088.599 MX1-A-AD -2 013.19 4 042.371
1MG-AEND -2 088.23 4 182.465 MX1-EAD-AD -2 013.33 4 042.667
2MG-ADI -2 010.52 4 041.037 MX1-AEND-AD -2 013.46 4 042.921
2MG-AD -2 022.18 4 056.362 MX2-ADI-ADI -2 005.98 4 047.962
2MG-A -2 208.98 4 425.953 MX2-ADI-AD -2 006.01 4 042.020
2MG-EA -2 091.77 4 189.549 MX2-AD-AD -2 013.34 4 048.674
2MG-AED -2 043.16 4 094.318 MX2-A-AD -2 009.06 4 036.127
2MG-EEAD -2 043.16 4 092.315 MX2-EA-AD -2 013.32 4 042.639
PG-ADI -2 009.37 4 038.743 MX2-AED-AD -2 013.33 4 044.662
PG-AD -2 013.34 4 040.687 MX2-EEAD-AD -2 013.33 4 042.669

Table 3

Tests for fitness in genetic model"

世代Generation U12 U22 U32 nW2 Dn
P1 0.1519(0.6968) 0.1388(0.7095) 0.0004(0.9847) 0.0704(0.7562) 0.0179(1)
P2 0.1209(0.7281) 0.0824(0.7741) 0.0393(0.8428) 0.1492(0.3937) 0.0145(1)
F1 0.4535(0.5007) 0.4857(0.4858) 0.0322(0.8575) 0.0771(0.7189) 0.0234(1)
B1 0.0329(0.8561) 0.0069(0.9337) 1.0707(0.3008) 0.1006(0.5928) 0.0048(1)
B2 0.0354(0.8508) 0.0019(0.9653) 0.3074(0.5793) 0.0367(0.9493) 0.0049(1)
F2 0.0751(0.7841) 0(0.9984) 1.1426(0.2851) 0.0730(0.7417) 0.0036(1)

Table 4

The estimates of 1st and 2nd order genetic parameters"

一阶参数
1st order genetic parameters		 估计值
Estimates		 二阶参数
2nd order genetic parameters		 估计值Estimates
B1 B2 F2
m 49.0395 σp2 22.8878 21.7094 21.3947
da 0.1443 σmg2 4.6123 1.8738 3.1121
db -1.0738 σpg2 8.8483 10.4083 8.8555
ha - σ2 9.4271 9.4271 9.4271
hb - hmg2(%) 20.15 8.63 14.55
ha/da - hpg2(%) 38.66 47.94 41.39
hb/db - hmg2+hpg2(%) 58.81 56.57 55.94
[d] 3.9632 - - - -
[h] 6.0851 - - - -
[h]/[d] 1.5400
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