ASReml 4.1 [28 Dec 2014] DHGLM model Build mj [21 Jul 2016] 64 bit Windows x64 28 Jan 2017 02:47:54.778 1800 Mbyte dhglm1 Licensed to: Wageningen University & Research Centre 30-apr-2017 ***************************************************************** * Contact support@asreml.co.uk for licensing and support * *********************************************************** ARG * Folder: D:\UserData\HM\PhDcourse GxE\practicals Han\dhglm animal !P Gval !=Pheno !-0.0 !*V12 Ywt !=1. Gwt !=1. Reading pedigree file ped.dat: skipping 0 lines 20200 identities in the pedigree over 1 generations. For first parent labelled Sire, second labelled Dam Sire Sire_of_Sire Dam_of_Sire Dam Sire_of_Dam Dam_of_Dam 100 0 0 10000 0 0 Using an adapted version of Meuwissen & Luo GSE 1992 305-313: PEDIGREE [ped.dat ] has 20200 identities, 50490 Non zero elements GIV0 NRM 20200 7 -7000.79 QUALIFIERS: !MAXIT 100 QUALIFIER: !DOPART 1 is active Reading cows_repeated.dat FREE FORMAT skipping 0 lines Univariate analysis of Pheno Summary of 100000 records retained of 100000 read Model term Size #miss #zero MinNon0 Mean MaxNon0 StndDevn 1 animal !P 20200 0 0 10201 15201 20200 2 sire 0 0 1.000 50.50 100.0 28.87 3 dam 0 0 101.0 5100. 0.1010E+05 2887. 4 herd 0 0 1.000 50.50 100.0 28.87 5 hys 0 0 0.2010E+06 0.2505E+06 0.3000E+06 0.2887E+05 6 Am 0 0 -2.019 -0.1512E-01 2.114 0.5567 7 Asl 0 0 -1.248 0.1348E-01 1.469 0.3161 8 Av 0 0 -1.298 -0.2071E-01 1.288 0.3097 9 x 0 0 -2.251 -0.1106 2.988 1.003 10 E 0 1 -4.040 -0.5546E-02 4.391 0.8041 11 PE 0100000 0.000 0.000 0.000 0.000 12 Pheno Variate 0 0 -5.010 -0.2510E-01 6.024 1.026 13 Gval 0 0 0.6400E-10 1.053 36.29 1.564 14 Ywt 0 0 1.000 1.000 1.000 0.000 15 Gwt 0 0 1.000 1.000 1.000 0.000 16 mu 1 Forming 20201 equations: 1 dense. Initial updates will be shrunk by factor 0.316 Notice: LogL values are reported relative to a base of -40000.000 1 LogL=-2050.28 S2= 0.80432 99999 df 0.1000 2 LogL=-177.117 S2= 0.75635 99999 df 0.1627 3 LogL= 1619.36 S2= 0.70482 99999 df 0.2844 4 LogL= 2518.10 S2= 0.66965 99999 df 0.4483 5 LogL= 2765.92 S2= 0.64967 99999 df 0.6155 6 LogL= 2777.82 S2= 0.64513 99999 df 0.6679 7 LogL= 2777.87 S2= 0.64485 99999 df 0.6714 8 LogL= 2777.87 S2= 0.64484 99999 df 0.6714 Final parameter values 0.6714 - - - Results from analysis of Pheno - - - Akaike Information Criterion 74448.27 (assuming 2 parameters). Bayesian Information Criterion 74467.29 Model_Term Gamma Sigma Sigma/SE % C animal NRM_V 20200 0.671435 0.432971 59.01 0 P units 100000 effects Residual SCA_V 100000 1.00000 0.644844 212.13 0 P Wald F statistics Source of Variation NumDF F-inc 16 mu 1 0.56 Solution Standard Error T-value T-prev 16 mu 1 -0.250961E-01 0.334866E-01 -0.75 1 animal 20200 effects fitted 39 possible outliers: see .res file Finished: 28 Jan 2017 02:48:02.391 LogL Converged