ASReml 4.1 [28 Dec 2014] Triticale analysis
   Build mj [21 Jul 2016]   64 bit  Windows x64
 16 Jan 2017 14:49:55.700     32 Mbyte  Triticale_FR
 Licensed to: Wageningen University and Research    30-apr-2017         
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 Folder: M:\WRK\congr_cursus\GxE cursus Julius van der Werf Armidale jan 2017\practicals Piter\Assignment Triticale\Files Question 3 - factorial regression\Asreml analysis
 genotype !A
 type !A
 environment !A
 QUALIFIERS: !MAXITER=30 !SKIP 1 !CSV 
 Reading Triticale_data.csv  FREE FORMAT skipping     1 lines

 Univariate analysis of yield                                           
 Summary of 160 records retained of 160 read
 Warning: 160 of 160 records had insufficient fields.
          Missing fields were treated as Missing values.
          Check the list of variables: it seems too many were declared.

  Model term          Size #miss #zero   MinNon0    Mean      MaxNon0  StndDevn
   1 genotype           16     0     0      1     8.5000         16
   2 type                2     0     0      1     1.6250          2
   3 environment        10     0     0      1     5.5000         10
   4 yield          Variate    0     0 0.6200      4.082      9.338      1.883    
   5 pH                        0     0  5.200      7.250      8.000     0.9031    
   6 altitude                  0     0  26.00      323.8      800.0      237.3    
   7 rainfall                  0     0  397.0      568.7      971.0      203.0    
   8 rainfall2                 0     0 0.1576E+06 0.3644E+06 0.9428E+06 0.2717E+06
   9 E_value                 160     0  0.000      0.000      0.000      0.000    
  10 E_centred               160     0  0.000      0.000      0.000      0.000    
  11 genotype.rainfall          16  1 genotype  :  16   7 rainfall       :    1
 Forming       42 equations:  42 dense.
 Initial updates will be shrunk by factor    0.316
 Notice: 2 singularities detected in design matrix.
   1 LogL=-132.241     S2= 0.41311        120 df 
   2 LogL=-132.241     S2= 0.41311        120 df 

          - - - Results from analysis of yield - - -
 Akaike Information Criterion      266.48 (assuming 1 parameters).
 Bayesian Information Criterion    269.27

 Model_Term                             Gamma         Sigma   Sigma/SE   % C
 Residual                SCA_V  160   1.00000      0.413114       7.75   0 P

                                   Wald F statistics
     Source of Variation           NumDF     DenDF    F-inc            P-inc
   1 genotype                         16     120.0   406.58            <.001
   3 environment                       9     120.0   129.32            <.001
  11 genotype.rainfall                15     120.0     1.87            0.033
 Notice: The DenDF values are calculated ignoring fixed/boundary/singular
             variance parameters using algebraic derivatives.
 SLOPES FOR LOG(ABS(RES)) on LOG(PV) for Section   1
   0.70
           1  possible outliers: see .res file
 Finished: 16 Jan 2017 14:49:59.350   LogL Converged