reading data
[1] "str.1175"
[1] "X279_DSDS50"
[1] "snp.1.1921587"
str.1175 X279_DSDS50 1 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -127.9867 
  n= 92 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value Std Error     z p
(Intercept) 3.799297 0.1014506 37.45 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   3.907714e-03 1.527023e-05
Residual error= 0.9725958 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -126.0308 
  n= 92 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                Value Std Error     z     p
(Intercept) 3.7117121 0.1085513 34.19 0.000
controlG    0.5371887 0.2687220  2.00 0.046

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   3.824658e-03 1.462801e-05
Residual error= 0.9521367 
[1] -126.0308
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -105.6262 
  n= 92 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                          Value Std Error     z       p
(Intercept)         4.528373899 0.3813801 11.87 0.0e+00
as.factor(genos)12 -0.625244939 0.4361153 -1.43 1.5e-01
as.factor(genos)13 -1.012371091 0.4086463 -2.48 1.3e-02
as.factor(genos)14  0.008628308 0.5825551  0.01 9.9e-01
as.factor(genos)16 -2.460996730 0.5393412 -4.56 5.0e-06
as.factor(genos)17 -2.180201824 0.6605554 -3.30 9.6e-04
as.factor(genos)21  0.681238146 0.8527733  0.80 4.2e-01
as.factor(genos)7  -0.352704468 0.4025751 -0.88 3.8e-01
as.factor(genos)9  -1.923651452 0.5825551 -3.30 9.6e-04

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   3.065794e-03 9.399091e-06
Residual error= 0.7627417 
       (Intercept) as.factor(genos)12 as.factor(genos)13 as.factor(genos)14 
       4.528373899       -0.625244939       -1.012371091        0.008628308 
as.factor(genos)16 as.factor(genos)17 as.factor(genos)21  as.factor(genos)7 
      -2.460996730       -2.180201824        0.681238146       -0.352704468 
 as.factor(genos)9 
      -1.923651452 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -103.1868 
  n= 92 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                        Value Std Error     z       p
(Intercept)         4.5283738 0.3714007 12.19 0.0e+00
as.factor(genos)12 -0.7359150 0.4275717 -1.72 8.5e-02
as.factor(genos)13 -1.0834185 0.3992172 -2.71 6.7e-03
as.factor(genos)14 -0.1512284 0.5717889 -0.26 7.9e-01
as.factor(genos)16 -2.4609964 0.5252284 -4.69 2.8e-06
as.factor(genos)17 -2.1802016 0.6432708 -3.39 7.0e-04
as.factor(genos)21  0.6812370 0.8304591  0.82 4.1e-01
as.factor(genos)7  -0.4349162 0.3937577 -1.10 2.7e-01
as.factor(genos)9  -2.0835083 0.5717890 -3.64 2.7e-04
controlG            0.4795703 0.2142464  2.24 2.5e-02

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.984578e-03 8.907704e-06
Residual error= 0.7427833 
[1] -103.1868
[1] "str.1665"
[1] "X47_0W.GH.FT"
[1] "snp.1.2778963"
str.1665 X47_0W.GH.FT 2 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -87.89897 
  n= 85 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value Std Error     z p
(Intercept) 3.848555  0.073851 52.11 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.736957e-03 7.490932e-06
Residual error= 0.6805588 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -73.15071 
  n= 85 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                 Value Std Error     z       p
(Intercept)  4.4036841 0.1122245 39.24 0.0e+00
controlG    -0.7997616 0.1346820 -5.94 2.9e-09

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.302823e-03 5.302992e-06
Residual error= 0.5721523 
[1] -73.15071
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -63.12147 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                        Value Std Error     z       p
(Intercept)        3.70034437 0.2274033 16.27 0.0e+00
as.factor(genos)8 -0.08392001 0.2362485 -0.36 7.2e-01
as.factor(genos)9  1.05205058 0.2586853  4.07 4.8e-05

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.045883e-03 4.185638e-06
Residual error= 0.508474 
      (Intercept) as.factor(genos)8 as.factor(genos)9 
       3.70034437       -0.08392001        1.05205058 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -62.83964 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                       Value Std Error     z       p
(Intercept)        3.7003444 0.2266506 16.33 0.0e+00
as.factor(genos)8  0.1004900 0.3399666  0.30 7.7e-01
as.factor(genos)9  1.0520506 0.2578290  4.08 4.5e-05
controlG          -0.1969124 0.2618449 -0.75 4.5e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.039118e-03 4.158001e-06
Residual error= 0.5067909 
[1] -62.83964
[1] "str.2479"
[1] "X32_avrPphB"
[1] "snp.1.4143163"
str.2479 X32_avrPphB 3 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -52.25736 
  n= 72 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
                Value Std Error    z p
(Intercept) 0.4999995 0.0589486 8.48 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.017889e-03 4.071874e-06
Residual error= 0.4999986 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -1.46184 
  n= 72 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                 Value  Std Error      z p
(Intercept)  0.8780493 0.03857300  22.76 0
controlG    -0.8780492 0.05877219 -14.94 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   9.968666e-04 9.937430e-07
Residual error= 0.2469317 
[1] -1.46184
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -28.65038 
  n= 72 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                             Value Std Error    z     p
(Intercept)          -1.807154e-07 0.3602286 0.00 1.000
as.factor(genos)11.5  6.249999e-01 0.3820780 1.64 0.100
as.factor(genos)12.5  5.000010e-01 0.4411856 1.13 0.260
as.factor(genos)14.5  4.573331e-06 0.5094374 0.00 1.000
as.factor(genos)15.5  3.634325e-07 0.5094374 0.00 1.000
as.factor(genos)4.5   3.333327e-01 0.4159538 0.80 0.420
as.factor(genos)5.5   8.461541e-01 0.3670886 2.31 0.021
as.factor(genos)7.5   2.735091e-07 0.3706701 0.00 1.000
as.factor(genos)8.5  -9.775198e-07 0.5094372 0.00 1.000
as.factor(genos)9.5   5.833331e-01 0.3749357 1.56 0.120

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.454337e-03 2.115095e-06
Residual error= 0.3602256 
         (Intercept) as.factor(genos)11.5 as.factor(genos)12.5 
       -1.807154e-07         6.249999e-01         5.000010e-01 
as.factor(genos)14.5 as.factor(genos)15.5  as.factor(genos)4.5 
        4.573331e-06         3.634325e-07         3.333327e-01 
 as.factor(genos)5.5  as.factor(genos)7.5  as.factor(genos)8.5 
        8.461541e-01         2.735091e-07        -9.775198e-07 
 as.factor(genos)9.5 
        5.833331e-01 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = 13.01893 
  n= 72 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                             Value  Std Error      z       p
(Intercept)           8.740201e-01 0.21364617   4.09 4.3e-05
as.factor(genos)11.5  7.873763e-02 0.21858349   0.36 7.2e-01
as.factor(genos)12.5 -3.740205e-01 0.25697283  -1.46 1.5e-01
as.factor(genos)14.5 -1.357677e-06 0.28559270   0.00 1.0e+00
as.factor(genos)15.5 -8.625881e-07 0.28559269   0.00 1.0e+00
as.factor(genos)4.5  -5.406859e-01 0.24338871  -2.22 2.6e-02
as.factor(genos)5.5   7.298236e-02 0.21483794   0.34 7.3e-01
as.factor(genos)7.5  -5.141354e-02 0.20783965  -0.25 8.0e-01
as.factor(genos)8.5   1.410964e-06 0.28559259   0.00 1.0e+00
as.factor(genos)9.5   7.348882e-02 0.21409037   0.34 7.3e-01
controlG             -8.740198e-01 0.06973276 -12.53 0.0e+00

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   8.147435e-04 6.638070e-07
Residual error= 0.2019439 
[1] 13.01893
[1] "str.3692"
[1] "X6_FT16"
[1] "snp.1.6369772"
str.3692 X6_FT16 4 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -73.43577 
  n= 95 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
              Value  Std Error     z p
(Intercept) 4.04822 0.05380626 75.24 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.100150e-03 4.410629e-06
Residual error= 0.5241704 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -52.45045 
  n= 95 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                 Value Std Error     z       p
(Intercept)  4.6141806 0.3747367 12.31 0.0e+00
controlT    -0.8096286 0.1084568 -7.46 8.3e-14

Random effects
 Group Variable Std Dev   Variance 
 id    Vmat.1   0.4479801 0.2006862
Residual error= 0.3284001 
[1] -52.45045
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -45.41887 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                         Value  Std Error     z       p
(Intercept)         3.92768397 0.06506188 60.37 0.0e+00
as.factor(genos)11  0.73396923 0.10561982  6.95 3.7e-12
as.factor(genos)12 -0.44644435 0.39567936 -1.13 2.6e-01
as.factor(genos)7  -0.33464955 0.18627279 -1.80 7.2e-02
as.factor(genos)8  -0.03748592 0.10418487 -0.36 7.2e-01
as.factor(genos)9  -0.21431513 0.15255419 -1.40 1.6e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.564962e-03 2.449106e-06
Residual error= 0.3902947 
       (Intercept) as.factor(genos)11 as.factor(genos)12  as.factor(genos)7 
        3.92768397         0.73396923        -0.44644435        -0.33464955 
 as.factor(genos)8  as.factor(genos)9 
       -0.03748592        -0.21431513 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -35.99984 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                        Value  Std Error     z       p
(Intercept)         4.4093267 0.12085295 36.49 0.0e+00
as.factor(genos)11  0.4775098 0.11093085  4.30 1.7e-05
as.factor(genos)12 -0.4326831 0.35834346 -1.21 2.3e-01
as.factor(genos)7  -0.3208881 0.16871725 -1.90 5.7e-02
as.factor(genos)8  -0.1098818 0.09567452 -1.15 2.5e-01
as.factor(genos)9  -0.2624790 0.13855680 -1.89 5.8e-02
controlT           -0.4954046 0.10853173 -4.56 5.0e-06

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.415588e-03 2.003889e-06
Residual error= 0.3534544 
[1] -35.99984
[1] "str.3950"
[1] "X47_0W.GH.FT"
[1] "snp.1.6371576"
str.3950 X47_0W.GH.FT 5 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -87.89897 
  n= 85 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value Std Error     z p
(Intercept) 3.848555  0.073851 52.11 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.736957e-03 7.490932e-06
Residual error= 0.6805588 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -61.13022 
  n= 85 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                Value Std Error     z p
(Intercept)  4.814702 0.1241863 38.77 0
controlT    -1.190181 0.1378228 -8.64 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.998755e-03 3.995023e-06
Residual error= 0.4967007 
[1] -61.13022
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -54.81884 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                        Value  Std Error     z p
(Intercept)          3.655589 0.05362982 68.16 0
as.factor(genos)11.3 1.491103 0.14902054 10.01 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.855169e-03 3.441651e-06
Residual error= 0.4611559 
         (Intercept) as.factor(genos)11.3 
            3.655589             1.491103 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -49.68449 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                          Value Std Error     z       p
(Intercept)           4.1756372 0.1653098 25.26 0.0e+00
as.factor(genos)11.3  1.0225040 0.1994951  5.13 3.0e-07
controlT             -0.5659349 0.1713011 -3.30 9.5e-04

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.746715e-03 3.051012e-06
Residual error= 0.4341248 
[1] -49.68449
[1] "4806"
[1] "X277_Secondary.Dormancy"
[1] "snp.1.7785207"
4806 X277_Secondary.Dormancy 6 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -46.71418 
  n= 52 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
                 Value  Std Error     z     p
(Intercept) -0.1803919 0.08241959 -2.19 0.029

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.410271e-03 5.809405e-06
Residual error= 0.5941656 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -45.48101 
  n= 52 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                 Value  Std Error     z      p
(Intercept) -0.2221018 0.08465878 -2.62 0.0087
controlG     0.4337837 0.27294624  1.59 0.1100

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.353653e-03 5.539681e-06
Residual error= 0.5802409 
[1] -45.48101
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -25.28283 
  n= 52 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                           Value Std Error     z       p
(Intercept)          -0.03047802 0.1244347 -0.24 0.81000
as.factor(genos)11.5 -0.53487021 0.1606359 -3.33 0.00087
as.factor(genos)12.5 -0.61153400 0.2327834 -2.63 0.00860
as.factor(genos)13.5  0.85431947 0.4126808  2.07 0.03800
as.factor(genos)14.5 -0.66266906 0.4126808 -1.61 0.11000
as.factor(genos)15.5  0.43564954 0.3047848  1.43 0.15000
as.factor(genos)6.5  -0.66597593 0.2327835 -2.86 0.00420
as.factor(genos)7.5   0.42327625 0.1684763  2.51 0.01200
as.factor(genos)8.5  -0.26823729 0.2590174 -1.04 0.30000

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.595384e-03 2.545251e-06
Residual error= 0.3934747 
         (Intercept) as.factor(genos)11.5 as.factor(genos)12.5 
         -0.03047802          -0.53487021          -0.61153400 
as.factor(genos)13.5 as.factor(genos)14.5 as.factor(genos)15.5 
          0.85431947          -0.66266906           0.43564954 
 as.factor(genos)6.5  as.factor(genos)7.5  as.factor(genos)8.5 
         -0.66597593           0.42327625          -0.26823729 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -23.63434 
  n= 52 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                          Value Std Error     z      p
(Intercept)          -0.1760707 0.1440846 -1.22 0.2200
as.factor(genos)11.5 -0.3892774 0.1744886 -2.23 0.0260
as.factor(genos)12.5 -0.4659412 0.2389282 -1.95 0.0510
as.factor(genos)13.5  0.5146032 0.4401690  1.17 0.2400
as.factor(genos)14.5 -1.0023856 0.4401690 -2.28 0.0230
as.factor(genos)15.5  0.5812423 0.3056378  1.90 0.0570
as.factor(genos)6.5  -0.5203829 0.2389283 -2.18 0.0290
as.factor(genos)7.5   0.5688691 0.1812956  3.14 0.0017
as.factor(genos)8.5  -0.1226446 0.2630513 -0.47 0.6400
controlG              0.4853091 0.2630513  1.84 0.0650

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.545614e-03 2.388922e-06
Residual error= 0.3811966 
[1] -23.63434
[1] "str.37359"
[1] "X47_0W.GH.FT"
[1] "snp.2.9602595"
str.37359 X47_0W.GH.FT 10 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -87.89897 
  n= 85 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value Std Error     z p
(Intercept) 3.848555  0.073851 52.11 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.736957e-03 7.490932e-06
Residual error= 0.6805588 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -75.35687 
  n= 85 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
               Value  Std Error     z       p
(Intercept) 3.715912 0.06828762 54.42 0.0e+00
controlG    1.024968 0.18975006  5.40 6.6e-08

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.360989e-03 5.574270e-06
Residual error= 0.5871968 
[1] -75.35687
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -38.28444 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                          Value  Std Error     z       p
(Intercept)           3.7423320 0.07916976 47.27 0.0e+00
as.factor(genos)11.3  1.5584811 0.20566336  7.58 3.5e-14
as.factor(genos)12.3 -0.3261617 0.27987248 -1.17 2.4e-01
as.factor(genos)7.3   1.5584808 0.16387638  9.51 0.0e+00
as.factor(genos)8.3  -0.2549570 0.38780257 -0.66 5.1e-01
as.factor(genos)9.3  -0.1501454 0.09627501 -1.56 1.2e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.527871e-03 2.334389e-06
Residual error= 0.3796363 
         (Intercept) as.factor(genos)11.3 as.factor(genos)12.3 
           3.7423320            1.5584811           -0.3261617 
 as.factor(genos)7.3  as.factor(genos)8.3  as.factor(genos)9.3 
           1.5584808           -0.2549570           -0.1501454 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -37.34905 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                          Value  Std Error     z       p
(Intercept)           3.7279457 0.07899890 47.19 0.0e+00
as.factor(genos)11.3  1.5728677 0.20368132  7.72 1.1e-14
as.factor(genos)12.3 -0.4772204 0.29780403 -1.60 1.1e-01
as.factor(genos)7.3   1.2419774 0.28147968  4.41 1.0e-05
as.factor(genos)8.3  -0.5714604 0.44729962 -1.28 2.0e-01
as.factor(genos)9.3  -0.1426524 0.09537709 -1.50 1.3e-01
controlG              0.3308899 0.24059073  1.38 1.7e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.511039e-03 2.283240e-06
Residual error= 0.3754815 
[1] -37.34905
[1] "str.41068"
[1] "X7_FT22"
[1] "snp.2.13886899"
str.41068 X7_FT22 7 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -99.47285 
  n= 93 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value  Std Error     z p
(Intercept) 4.035688 0.07315721 55.16 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.826941e-03 7.991597e-06
Residual error= 0.7051491 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -78.81891 
  n= 93 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
               Value  Std Error     z       p
(Intercept) 3.821707 0.06567322 58.19 0.0e+00
controlT    1.047381 0.14523816  7.21 5.5e-13

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.265585e-03 5.132876e-06
Residual error= 0.5647165 
[1] -78.81891
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -68.04826 
  n= 93 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)         3.92041996 0.6318610  6.20 5.5e-10
as.factor(genos)11  0.04279697 0.1571248  0.27 7.9e-01
as.factor(genos)12 -0.12424469 0.1878763 -0.66 5.1e-01
as.factor(genos)13 -0.31398429 0.5329202 -0.59 5.6e-01
as.factor(genos)14  0.34005287 0.3091713  1.10 2.7e-01
as.factor(genos)7  -0.02882241 0.3466846 -0.08 9.3e-01
as.factor(genos)8   1.41374841 0.1538690  9.19 0.0e+00
as.factor(genos)9  -0.03995239 0.1316905 -0.30 7.6e-01

Random effects
 Group Variable Std Dev   Variance 
 id    Vmat.1   0.7797707 0.6080423
Residual error= 0.2616806 
       (Intercept) as.factor(genos)11 as.factor(genos)12 as.factor(genos)13 
        3.92041996         0.04279697        -0.12424469        -0.31398429 
as.factor(genos)14  as.factor(genos)7  as.factor(genos)8  as.factor(genos)9 
        0.34005287        -0.02882241         1.41374841        -0.03995239 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -66.4338 
  n= 93 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)         3.87823974 0.4961839  7.82 5.4e-15
as.factor(genos)11  0.02019847 0.1564376  0.13 9.0e-01
as.factor(genos)12 -0.12740337 0.1875585 -0.68 5.0e-01
as.factor(genos)13 -0.32751643 0.5072711 -0.65 5.2e-01
as.factor(genos)14  0.35187933 0.3323500  1.06 2.9e-01
as.factor(genos)7   0.03756761 0.3441372  0.11 9.1e-01
as.factor(genos)8   1.08554442 0.2146084  5.06 4.2e-07
as.factor(genos)9  -0.11428969 0.1380723 -0.83 4.1e-01
controlT            0.37715078 0.1772722  2.13 3.3e-02

Random effects
 Group Variable Std Dev   Variance 
 id    Vmat.1   0.6062752 0.3675696
Residual error= 0.3514094 
[1] -66.4338
[1] "str.43058"
[1] "X47_0W.GH.FT"
[1] "snp.2.16917776"
str.43058 X47_0W.GH.FT 8 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -87.89897 
  n= 85 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value Std Error     z p
(Intercept) 3.848555  0.073851 52.11 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.736957e-03 7.490932e-06
Residual error= 0.6805588 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -47.70026 
  n= 85 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
               Value  Std Error     z p
(Intercept) 3.632757 0.04965773 73.16 0
controlT    1.528571 0.13210978 11.57 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.705419e-03 2.908454e-06
Residual error= 0.424108 
[1] -47.70026
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -53.14129 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)          3.3163366 0.3197183 10.37 0.0e+00
as.factor(genos)11.5 0.3415147 0.3245229  1.05 2.9e-01
as.factor(genos)12.5 0.6098585 0.3625226  1.68 9.3e-02
as.factor(genos)13.5 0.5693416 0.5537623  1.03 3.0e-01
as.factor(genos)14.5 1.9844766 0.3625226  5.47 4.4e-08
as.factor(genos)8.5  1.9844765 0.4521449  4.39 1.1e-05

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.817444e-03 3.303103e-06
Residual error= 0.4521438 
         (Intercept) as.factor(genos)11.5 as.factor(genos)12.5 
           3.3163366            0.3415147            0.6098585 
as.factor(genos)13.5 as.factor(genos)14.5  as.factor(genos)8.5 
           0.5693416            1.9844766            1.9844765 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -44.90344 
  n= 85 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)          3.3163363 0.2901867 11.43 0.00000
as.factor(genos)11.5 0.3244490 0.2945746  1.10 0.27000
as.factor(genos)12.5 0.2880413 0.3375825  0.85 0.39000
as.factor(genos)13.5 0.5693416 0.5026126  1.13 0.26000
as.factor(genos)14.5 0.8581152 0.4219565  2.03 0.04200
as.factor(genos)8.5  0.8581151 0.4880519  1.76 0.07900
controlT             1.1263616 0.2641625  4.26 0.00002

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.649725e-03 2.721592e-06
Residual error= 0.4103804 
[1] -44.90344
[1] "str.43970"
[1] "X7_FT22"
[1] "snp.2.18439471"
str.43970 X7_FT22 9 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -101.19 
  n= 95 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value  Std Error     z p
(Intercept) 4.026712 0.07206292 55.88 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.813336e-03 7.914857e-06
Residual error= 0.7020232 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -74.30987 
  n= 95 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
               Value  Std Error     z p
(Intercept) 3.826878 0.05917133 64.67 0
controlG    1.265619 0.14884735  8.50 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.123798e-03 4.510518e-06
Residual error= 0.5290156 
[1] -74.30987
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -63.23082 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                        Value Std Error     z       p
(Intercept)         4.8997034 0.2105467 23.27 0.0e+00
as.factor(genos)12 -1.0995357 0.2182556 -5.04 4.7e-07
as.factor(genos)13 -1.2234028 0.5157177 -2.37 1.8e-02
as.factor(genos)14 -1.2877796 0.3938860 -3.27 1.1e-03
as.factor(genos)15 -0.9283667 0.2756628 -3.37 7.6e-04
as.factor(genos)16 -1.2753620 0.5157178 -2.47 1.3e-02
as.factor(genos)17 -0.2995475 0.5157179 -0.58 5.6e-01
as.factor(genos)18  0.5898126 0.2683882  2.20 2.8e-02
as.factor(genos)19 -1.1740100 0.5157178 -2.28 2.3e-02
as.factor(genos)20 -0.4686562 0.3938859 -1.19 2.3e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.889981e-03 3.572028e-06
Residual error= 0.4707825 
       (Intercept) as.factor(genos)12 as.factor(genos)13 as.factor(genos)14 
         4.8997034         -1.0995357         -1.2234028         -1.2877796 
as.factor(genos)15 as.factor(genos)16 as.factor(genos)17 as.factor(genos)18 
        -0.9283667         -1.2753620         -0.2995475          0.5898126 
as.factor(genos)19 as.factor(genos)20 
        -1.1740100         -0.4686562 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -58.48553 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                          Value Std Error     z       p
(Intercept)         4.751907455 0.2056791 23.10 0.0e+00
as.factor(genos)12 -0.984828124 0.2107723 -4.67 3.0e-06
as.factor(genos)13 -1.075606238 0.4928157 -2.18 2.9e-02
as.factor(genos)14 -1.139983490 0.3776038 -3.02 2.5e-03
as.factor(genos)15 -0.780570425 0.2663719 -2.93 3.4e-03
as.factor(genos)16 -1.127565254 0.4928158 -2.29 2.2e-02
as.factor(genos)17 -0.890734321 0.5250680 -1.70 9.0e-02
as.factor(genos)18 -0.001373943 0.3165459  0.00 1.0e+00
as.factor(genos)19 -1.026213489 0.4928158 -2.08 3.7e-02
as.factor(genos)20 -1.059842561 0.4188237 -2.53 1.1e-02
controlG            0.738982826 0.2339114  3.16 1.6e-03

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.797504e-03 3.231022e-06
Residual error= 0.4478444 
[1] -58.48553
[1] "str.65213"
[1] "X277_Secondary.Dormancy"
[1] "snp.4.429928"
str.65213 X277_Secondary.Dormancy 11 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -67.70718 
  n= 77 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
                  Value  Std Error     z    p
(Intercept) -0.09380138 0.06646263 -1.41 0.16

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.351675e-03 5.530377e-06
Residual error= 0.5829624 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -67.69628 
  n= 77 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                  Value  Std Error     z    p
(Intercept) -0.08638479 0.08329097 -1.04 0.30
controlT    -0.02039556 0.13808563 -0.15 0.88

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.351277e-03 5.528501e-06
Residual error= 0.5828798 
[1] -67.69628
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -44.29615 
  n= 77 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                          Value Std Error     z       p
(Intercept)           0.2723859 0.1360261  2.00 4.5e-02
as.factor(genos)11.7 -0.9980386 0.3331767 -3.00 2.7e-03
as.factor(genos)12.7 -0.9511275 0.2040283 -4.66 3.1e-06
as.factor(genos)13.7 -0.6615758 0.4511235 -1.47 1.4e-01
as.factor(genos)15.7 -0.5025979 0.4511233 -1.11 2.7e-01
as.factor(genos)5.7  -0.4325503 0.2831458 -1.53 1.3e-01
as.factor(genos)6.7  -0.8005354 0.2119701 -3.78 1.6e-04
as.factor(genos)7.7  -0.6785363 0.1879371 -3.61 3.1e-04
as.factor(genos)8.7  -0.3289464 0.1714180 -1.92 5.5e-02
as.factor(genos)9.7   0.1488378 0.1714180  0.87 3.9e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.734097e-03 3.007091e-06
Residual error= 0.4301282 
         (Intercept) as.factor(genos)11.7 as.factor(genos)12.7 
           0.2723859           -0.9980386           -0.9511275 
as.factor(genos)13.7 as.factor(genos)15.7  as.factor(genos)5.7 
          -0.6615758           -0.5025979           -0.4325503 
 as.factor(genos)6.7  as.factor(genos)7.7  as.factor(genos)8.7 
          -0.8005354           -0.6785363           -0.3289464 
 as.factor(genos)9.7 
           0.1488378 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -44.05239 
  n= 77 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                           Value Std Error     z       p
(Intercept)           0.35107978 0.1762067  1.99 4.6e-02
as.factor(genos)11.7 -1.07673238 0.3506687 -3.07 2.1e-03
as.factor(genos)12.7 -1.01889160 0.2252870 -4.52 6.1e-06
as.factor(genos)13.7 -0.74026963 0.4635627 -1.60 1.1e-01
as.factor(genos)15.7 -0.49385420 0.4498712 -1.10 2.7e-01
as.factor(genos)5.7  -0.45295250 0.2837546 -1.60 1.1e-01
as.factor(genos)6.7  -0.84175596 0.2193673 -3.84 1.2e-04
as.factor(genos)7.7  -0.72543466 0.1989842 -3.65 2.7e-04
as.factor(genos)8.7  -0.37163658 0.1814528 -2.05 4.1e-02
as.factor(genos)9.7   0.07528737 0.2006490  0.38 7.1e-01
controlT             -0.08743754 0.1250306 -0.70 4.8e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.728365e-03 2.987245e-06
Residual error= 0.4287687 
[1] -44.05239
[1] "str.65291"
[1] "X6_FT16"
[1] "snp.4.581120"
str.65291 X6_FT16 12 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -73.43577 
  n= 95 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
              Value  Std Error     z p
(Intercept) 4.04822 0.05380626 75.24 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.100150e-03 4.410629e-06
Residual error= 0.5241704 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -58.48313 
  n= 95 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                Value  Std Error     z       p
(Intercept) 3.8005135 0.06212084 61.18 0.0e+00
controlC    0.5472575 0.09230894  5.93 3.1e-09

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.797553e-03 3.231196e-06
Residual error= 0.4478331 
[1] -58.48313
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -34.01687 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                           Value  Std Error     z       p
(Intercept)           3.88384806 0.07066745 54.96 0.0e+00
as.factor(genos)12.5  0.04256379 0.21197511  0.20 8.4e-01
as.factor(genos)13.5  0.20902683 0.10217191  2.05 4.1e-02
as.factor(genos)14.5 -0.30866446 0.10629700 -2.90 3.7e-03
as.factor(genos)15.5  0.10449301 0.13530063  0.77 4.4e-01
as.factor(genos)24.5  0.26719085 0.35329188  0.76 4.5e-01
as.factor(genos)5.5   1.03106829 0.17016792  6.06 1.4e-09
as.factor(genos)6.5   0.88863686 0.15799693  5.62 1.9e-08
as.factor(genos)7.5   0.92467818 0.25476247  3.63 2.8e-04
as.factor(genos)8.5   0.80237919 0.18694457  4.29 1.8e-05

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.387783e-03 1.925942e-06
Residual error= 0.3461531 
         (Intercept) as.factor(genos)12.5 as.factor(genos)13.5 
          3.88384806           0.04256379           0.20902683 
as.factor(genos)14.5 as.factor(genos)15.5 as.factor(genos)24.5 
         -0.30866446           0.10449301           0.26719085 
 as.factor(genos)5.5  as.factor(genos)6.5  as.factor(genos)7.5 
          1.03106829           0.88863686           0.92467818 
 as.factor(genos)8.5 
          0.80237919 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -25.63801 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                           Value  Std Error     z       p
(Intercept)           3.83763294 0.06559609 58.50 0.0e+00
as.factor(genos)12.5 -0.03446077 0.19491218 -0.18 8.6e-01
as.factor(genos)13.5 -0.01364423 0.10703470 -0.13 9.0e-01
as.factor(genos)14.5 -0.30136744 0.09733823 -3.10 2.0e-03
as.factor(genos)15.5 -0.17793034 0.14035014 -1.27 2.0e-01
as.factor(genos)24.5 -0.05631210 0.33217641 -0.17 8.7e-01
as.factor(genos)5.5   0.78150851 0.16635101  4.70 2.6e-06
as.factor(genos)6.5   0.62675308 0.15706178  3.99 6.6e-05
as.factor(genos)7.5   0.78603362 0.23549279  3.34 8.4e-04
as.factor(genos)8.5   0.66373544 0.17419952  3.81 1.4e-04
controlC              0.36971851 0.08636346  4.28 1.9e-05

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.272084e-03 1.618197e-06
Residual error= 0.3169305 
[1] -25.63801
[1] "str.83235"
[1] "X7_FT22"
[1] "snp.5.2265385"
str.83235 X7_FT22 14 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -99.47141 
  n= 93 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value  Std Error     z p
(Intercept) 4.033606 0.07315611 55.14 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.827625e-03 7.995461e-06
Residual error= 0.7051382 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -60.68857 
  n= 93 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                Value Std Error      z p
(Intercept)  5.481652 0.1401185  39.12 0
controlG    -1.642296 0.1492122 -11.01 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.865590e-03 3.480425e-06
Residual error= 0.4646916 
[1] -60.68857
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -70.0039 
  n= 93 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                       Value Std Error     z       p
(Intercept)        3.6586845 0.2097032 17.45 0.0e+00
as.factor(genos)13 0.7643168 0.3110303  2.46 1.4e-02
as.factor(genos)14 1.5807385 0.2707172  5.84 5.2e-09
as.factor(genos)15 1.8647756 0.4193932  4.45 8.7e-06
as.factor(genos)9  0.1843654 0.2183773  0.84 4.0e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.059139e-03 4.240054e-06
Residual error= 0.5136483 
       (Intercept) as.factor(genos)13 as.factor(genos)14 as.factor(genos)15 
         3.6586845          0.7643168          1.5807385          1.8647756 
 as.factor(genos)9 
         0.1843654 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -59.3508 
  n= 93 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)         5.38341017 0.3990042 13.49 0.0e+00
as.factor(genos)13  0.41937160 0.2861847  1.47 1.4e-01
as.factor(genos)14  0.04764919 0.3955267  0.12 9.0e-01
as.factor(genos)15  0.14004988 0.5139162  0.27 7.9e-01
as.factor(genos)9   0.18436534 0.1947419  0.95 3.4e-01
controlG           -1.72472575 0.3524668 -4.89 9.9e-07

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.838435e-03 3.379842e-06
Residual error= 0.458055 
[1] -59.3508
[1] "str.83239"
[1] "X17_Mg25"
[1] "snp.5.2339456"
str.83239 X17_Mg25 16 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -730.6824 
  n= 86 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
              Value Std Error     z p
(Intercept) 13814.4   1333.97 10.36 0

Random effects
 Group Variable Std Dev     Variance   
 id    Vmat.1      1645.549 2707830.794
Residual error= 738.5877 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -715.0602 
  n= 86 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                Value Std Error     z       p
(Intercept) 14327.204 1243.7999 11.52 0.0e+00
controlT    -1297.169  210.4408 -6.16 7.1e-10

Random effects
 Group Variable Std Dev     Variance   
 id    Vmat.1      1536.032 2359395.446
Residual error= 509.3901 
[1] -715.0602
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -705.4515 
  n= 86 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                        Value Std Error     z       p
(Intercept)        14625.2079  441.8256 33.10 0.0e+00
as.factor(genos)11 -1686.1682  624.7711 -2.70 7.0e-03
as.factor(genos)12 -2734.0318  765.1857 -3.57 3.5e-04
as.factor(genos)5   -667.1223  458.4571 -1.46 1.5e-01
as.factor(genos)7    457.8865  987.8502  0.46 6.4e-01
as.factor(genos)8  -2286.3523  486.0642 -4.70 2.6e-06
as.factor(genos)9  -2202.0376  624.7722 -3.52 4.2e-04

Random effects
 Group Variable Std Dev   Variance 
 id    Vmat.1    7.850649 61.632695
Residual error= 883.5489 
       (Intercept) as.factor(genos)11 as.factor(genos)12  as.factor(genos)5 
        14625.2079         -1686.1682         -2734.0318          -667.1223 
 as.factor(genos)7  as.factor(genos)8  as.factor(genos)9 
          457.8865         -2286.3523         -2202.0376 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -701.2851 
  n= 86 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                        Value Std Error     z       p
(Intercept)        14873.1057 1237.6347 12.02 0.0e+00
as.factor(genos)11 -1245.9857  476.2548 -2.62 8.9e-03
as.factor(genos)12 -1727.2491  710.2314 -2.43 1.5e-02
as.factor(genos)5   -539.3962  352.1047 -1.53 1.3e-01
as.factor(genos)7    263.4809  851.3925  0.31 7.6e-01
as.factor(genos)8  -1592.4869  399.8915 -3.98 6.8e-05
as.factor(genos)9  -1765.2786  554.6234 -3.18 1.5e-03
controlT            -715.3259  202.8722 -3.53 4.2e-04

Random effects
 Group Variable Std Dev     Variance   
 id    Vmat.1      1488.868 2216727.559
Residual error= 275.1706 
[1] -701.2851
[1] "str.83458"
[1] "X7_FT22"
[1] "snp.5.2337756"
str.83458 X7_FT22 15 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -76.00817 
  n= 69 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value  Std Error     z p
(Intercept) 4.039316 0.08768065 46.07 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.943084e-03 8.661744e-06
Residual error= 0.7280548 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -36.82877 
  n= 69 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                Value Std Error      z p
(Intercept)  5.496306 0.1304936  42.12 0
controlG    -1.703936 0.1411119 -12.08 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.667455e-03 2.780407e-06
Residual error= 0.4126331 
[1] -36.82877
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -41.55702 
  n= 69 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)         3.51145920 0.2551360 13.76 0.0e+00
as.factor(genos)11  0.54882826 0.3608112  1.52 1.3e-01
as.factor(genos)12  0.30744120 0.3124717  0.98 3.3e-01
as.factor(genos)15  1.70429686 0.2830435  6.02 1.7e-09
as.factor(genos)16  0.09775284 0.3608110  0.27 7.9e-01
as.factor(genos)17  0.29441550 0.3124715  0.94 3.5e-01
as.factor(genos)18  0.24948185 0.2727476  0.91 3.6e-01
as.factor(genos)19  0.28968025 0.2946010  0.98 3.3e-01
as.factor(genos)20  0.65520532 0.5102639  1.28 2.0e-01
as.factor(genos)21 -0.12707069 0.5102638 -0.25 8.0e-01
as.factor(genos)8   0.11367916 0.3608110  0.32 7.5e-01

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.785561e-03 3.188228e-06
Residual error= 0.4419002 
       (Intercept) as.factor(genos)11 as.factor(genos)12 as.factor(genos)15 
        3.51145920         0.54882826         0.30744120         1.70429686 
as.factor(genos)16 as.factor(genos)17 as.factor(genos)18 as.factor(genos)19 
        0.09775284         0.29441550         0.24948185         0.28968025 
as.factor(genos)20 as.factor(genos)21  as.factor(genos)8 
        0.65520532        -0.12707069         0.11367916 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -31.4878 
  n= 69 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)         4.72717318 0.3343914 14.14 0.0e+00
as.factor(genos)11  0.54882827 0.3118194  1.76 7.8e-02
as.factor(genos)12  0.30744097 0.2700436  1.14 2.5e-01
as.factor(genos)15  0.76913261 0.3118193  2.47 1.4e-02
as.factor(genos)16  0.09775268 0.3118193  0.31 7.5e-01
as.factor(genos)17  0.29441575 0.2700433  1.09 2.8e-01
as.factor(genos)18  0.24948160 0.2357133  1.06 2.9e-01
as.factor(genos)19  0.28968029 0.2545993  1.14 2.6e-01
as.factor(genos)20  0.65520568 0.4409790  1.49 1.4e-01
as.factor(genos)21 -0.12706963 0.4409790 -0.29 7.7e-01
as.factor(genos)8   0.11367986 0.3118192  0.36 7.2e-01
controlG           -1.21571333 0.2513968 -4.84 1.3e-06

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   1.543521e-03 2.382457e-06
Residual error= 0.381898 
[1] -31.4878
[1] "str.84683"
[1] "X281_Storage.7.days"
[1] "snp.5.4697537"
str.84683 X281_Storage.7.days 17 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -127.1815 
  n= 65 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value Std Error    z     p
(Intercept) 0.464105 0.2127173 2.18 0.029

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   0.0152993759 0.0002340709
Residual error= 1.711995 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -110.2552 
  n= 65 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                Value Std Error     z       p
(Intercept)  3.184955 0.4398705  7.24 4.5e-13
controlG    -3.158166 0.4738784 -6.66 2.7e-11

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   5.337032e-03 2.848391e-05
Residual error= 1.319545 
[1] -110.2552
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -103.5789 
  n= 65 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                         Value Std Error     z       p
(Intercept)           1.116232 0.3590439  3.11 0.00190
as.factor(genos)11.5 -1.569862 0.4308270 -3.64 0.00027
as.factor(genos)12.5 -1.080482 0.5077342 -2.13 0.03300
as.factor(genos)13.5  3.391877 1.2436913  2.73 0.00640
as.factor(genos)14.5  1.044503 0.6043246  1.73 0.08400
as.factor(genos)15.5  2.305177 0.9153338  2.52 0.01200
as.factor(genos)4.5   3.488940 1.2436899  2.81 0.00500
as.factor(genos)8.5  -1.809377 1.2436898 -1.45 0.15000
as.factor(genos)9.5  -1.029625 0.5757165 -1.79 0.07400

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   4.817205e-03 2.320547e-05
Residual error= 1.190739 
         (Intercept) as.factor(genos)11.5 as.factor(genos)12.5 
            1.116232            -1.569862            -1.080482 
as.factor(genos)13.5 as.factor(genos)14.5 as.factor(genos)15.5 
            3.391877             1.044503             2.305177 
 as.factor(genos)4.5  as.factor(genos)8.5  as.factor(genos)9.5 
            3.488940            -1.809377            -1.029625 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -98.74072 
  n= 65 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                          Value Std Error     z       p
(Intercept)           2.7373628 0.6024658  4.54 5.5e-06
as.factor(genos)11.5 -1.4077477 0.4030604 -3.49 4.8e-04
as.factor(genos)12.5 -1.0804806 0.4713142 -2.29 2.2e-02
as.factor(genos)13.5  1.7707458 1.2588523  1.41 1.6e-01
as.factor(genos)14.5  0.6122013 0.5767199  1.06 2.9e-01
as.factor(genos)15.5  0.6840468 0.9868298  0.69 4.9e-01
as.factor(genos)4.5   1.8678083 1.2588511  1.48 1.4e-01
as.factor(genos)8.5  -1.6472655 1.1555697 -1.43 1.5e-01
as.factor(genos)9.5  -1.1222601 0.5351890 -2.10 3.6e-02
controlG             -1.7832445 0.5520679 -3.23 1.2e-03

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   4.472036e-03 1.999911e-05
Residual error= 1.105327 
[1] -98.74072
[1] "str.86275"
[1] "X7_FT22"
[1] "snp.5.6685571"
str.86275 X7_FT22 18 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -101.19 
  n= 95 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value  Std Error     z p
(Intercept) 4.026712 0.07206292 55.88 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.813336e-03 7.914857e-06
Residual error= 0.7020232 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -62.94576 
  n= 95 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
               Value Std Error     z p
(Intercept) 3.822955 0.3698454 10.34 0
controlC    1.385370 0.1255823 11.03 0

Random effects
 Group Variable Std Dev   Variance 
 id    Vmat.1   0.4517780 0.2041034
Residual error= 0.3849079 
[1] -62.94576
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -73.63903 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                      Value Std Error     z     p
(Intercept)        5.360625 0.1661216 32.27 0e+00
as.factor(genos)8 -1.522503 0.1767036 -8.62 0e+00
as.factor(genos)9 -1.223504 0.2413561 -5.07 4e-07

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.105565e-03 4.433403e-06
Residual error= 0.5252931 
      (Intercept) as.factor(genos)8 as.factor(genos)9 
         5.360625         -1.522503         -1.223504 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = -54.83715 
  n= 95 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                       Value Std Error     z       p
(Intercept)        4.3619511 0.3874785 11.26 0.0e+00
as.factor(genos)8 -0.6150624 0.1874254 -3.28 1.0e-03
as.factor(genos)9 -0.2036076 0.2350223 -0.87 3.9e-01
controlC           1.1031431 0.1539296  7.17 7.7e-13

Random effects
 Group Variable Std Dev   Variance 
 id    Vmat.1   0.4176148 0.1744021
Residual error= 0.3524296 
[1] -54.83715
[1] "str.99290"
[1] "X61_LC.Duration.GH"
[1] "snp.5.18608407"
str.99290 X61_LC.Duration.GH 13 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = 8.459855 
  n= 53 


Model:  as.numeric(phenos) ~ (1 | id) 
Fixed coefficients
               Value  Std Error      z p
(Intercept) 4.349288 0.02834183 153.46 0

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   8.368922e-04 7.003886e-07
Residual error= 0.2062705 
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = 14.41459 
  n= 53 


Model:  as.numeric(phenos) ~ control + (1 | id) 
Fixed coefficients
                 Value  Std Error     z       p
(Intercept)  4.4965707 0.04760297 94.46 0.00000
controlG    -0.2054208 0.05621399 -3.65 0.00026

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   7.478254e-04 5.592428e-07
Residual error= 0.1843498 
[1] 14.41459
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = 31.01611 
  n= 53 


Model:  as.numeric(phenos) ~ as.factor(genos) + (1 | id) 
Fixed coefficients
                           Value Std Error     z      p
(Intercept)           4.65851189 0.1347751 34.57 0.0000
as.factor(genos)11.5 -0.43604218 0.1650649 -2.64 0.0083
as.factor(genos)12.5 -0.42562316 0.1378039 -3.09 0.0020
as.factor(genos)13.5 -0.28663098 0.1391949 -2.06 0.0390
as.factor(genos)14.5 -0.38967600 0.1506829 -2.59 0.0097
as.factor(genos)15.5 -0.23397199 0.1650649 -1.42 0.1600
as.factor(genos)17.5 -0.09623291 0.1650649 -0.58 0.5600
as.factor(genos)18.5  0.07310109 0.1476385  0.50 0.6200

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.477297e-04 6.137000e-08
Residual error= 0.1347748 
         (Intercept) as.factor(genos)11.5 as.factor(genos)12.5 
          4.65851189          -0.43604218          -0.42562316 
as.factor(genos)13.5 as.factor(genos)14.5 as.factor(genos)15.5 
         -0.28663098          -0.38967600          -0.23397199 
as.factor(genos)17.5 as.factor(genos)18.5 
         -0.09623291           0.07310109 
NULL
Linear mixed-effects kinship model fit by maximum likelihood
  Data: data 
  Log-likelihood = 31.09072 
  n= 53 


Model:  as.numeric(phenos) ~ as.factor(genos) + control + (1 | id) 
Fixed coefficients
                           Value  Std Error     z      p
(Intercept)           4.65851187 0.13458546 34.61 0.0000
as.factor(genos)11.5 -0.41222795 0.17596863 -2.34 0.0190
as.factor(genos)12.5 -0.40613878 0.14655063 -2.77 0.0056
as.factor(genos)13.5 -0.26281674 0.15203915 -1.73 0.0840
as.factor(genos)14.5 -0.37776888 0.15359133 -2.46 0.0140
as.factor(genos)15.5 -0.22206486 0.16768604 -1.32 0.1900
as.factor(genos)17.5 -0.09623290 0.16483266 -0.58 0.5600
as.factor(genos)18.5  0.07310110 0.14743082  0.50 0.6200
controlG             -0.02381423 0.06160477 -0.39 0.7000

Random effects
 Group Variable Std Dev      Variance    
 id    Vmat.1   2.473816e-04 6.119766e-08
Residual error= 0.1345852 
[1] 31.09072
