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15 Examples 268wheat.asd !skip 1 !DOPATH 1!PATH 1y ~ mu weed mv !r variety1 267 row AR1 0.110 column I 0!PATH 2y ~ mu weed mv !r variety1 267 row AR1 0.110 column AR1 0.1# AR1 x I# AR1 x AR1!PATH 3# AR1 x AR1 + column trendy ~ mu weed pol(column,-1) mv !r variety1 267 row AR1 0.110 column AR1 0.1!PATH 4# AR1 x AR1 + Nugget + column trendy ~ mu weed pol(column,-1) mv !r variety units1 267 row AR1 0.110 column AR1 0.1predict varThe data fields represent the factors variety, row and column, a covariate weedand the plot yield (yield). There are three paths in the ASReml file. We beginwith the one-dimensional spatial model, which assumes the variance model forthe plot effects within columns is described by a first order autoregressive process.The abbreviated output file is1 LogL=-4280.75 S2= 0.12850E+06 666 df 0.1000 1.000 0.10002 LogL=-4268.57 S2= 0.12138E+06 666 df 0.1516 1.000 0.17983 LogL=-4255.89 S2= 0.10968E+06 666 df 0.2977 1.000 0.29804 LogL=-4243.76 S2= 88033. 666 df 0.7398 1.000 0.49395 LogL=-4240.59 S2= 84420. 666 df 0.9125 1.000 0.60166 LogL=-4240.01 S2= 85617. 666 df 0.9344 1.000 0.64287 LogL=-4239.91 S2= 86032. 666 df 0.9474 1.000 0.65968 LogL=-4239.88 S2= 86189. 666 df 0.9540 1.000 0.66689 LogL=-4239.88 S2= 86253. 666 df 0.9571 1.000 0.670010 LogL=-4239.88 S2= 86280. 666 df 0.9585 1.000 0.6714Final parameter values 0.95918 1.0000 0.67205Source Model terms Gamma Component Comp/SE % Cvariety 532 532 0.959184 82758.6 8.98 0 PVariance 670 666 1.00000 86280.2 9.12 0 PResidual AR=AutoR 67 0.672052 0.672052 16.04 1 U