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15 Examples 243structure that is superimposed on the experimental material. The latter is ofprime interest, in the presence of stratification. Thus the aim of the analysisis to examine the importance of the treatment effects while accounting for thestratification and restricted randomisation of the treatments to the experimentalunits. The ASReml input file is presented below.split plot exampleblocks 6 # Coded 1...6 in first data field of oats.asdnitrogen !A 4 # Coded alphabeticallysubplots * # Coded 1...4variety !A 3 # Coded alphabeticallywplots * # Coded 1...3yieldoats.asd !SKIP 2yield ~ mu variety nitrogen variety.nitrogen !r blocks blocks.wplotspredict nitrogen # Print table of predicted nitrogen meanspredict varietypredict variety nitrogen !SEDThe data fields were blocks, wplots, subplots, variety, nitrogen and yield.The first five variables are factors that describe the stratification or experimentdesign and treatments. The standard split plot analysis is achieved byfitting the model terms blocks and blocks.wplots as random effects. Theblocks.wplots.subplots term is not listed in the model because this interactioncorresponds to the experimental units and is automatically included as theresidual term. The fixed effects include the main effects of both variety andnitrogen and their interaction. The tables of predicted means and associatedstandard errors of differences (SEDs) have been requested. These are reported inthe .pvs file. Abbreviated output is shown below.Approximate stratum variance decompositionStratum Degrees-Freedom Variance Component Coefficientsblocks 5.00 3175.06 12.0 4.0 1.0blocks.wplots 10.00 601.331 0.0 4.0 1.0Residual Variance 45.00 177.083 0.0 0.0 1.0Source Model terms Gamma Component Comp/SE % Cblocks 6 6 1.21116 214.477 1.27 0 Pblocks.wplots 18 18 0.598937 106.062 1.56 0 PVariance 72 60 1.00000 177.083 4.74 0 PAnalysis of Variance NumDF DenDF F_inc Prob7 mu 1 5.0 245.14