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10 Tabulation of the data and prediction from the model 164List of prediction qualifiersqualifieractionNewNewNew!ONLYUSE t!USE tPrinting!DEC [n]!PLOT [x]!PRINTALL!SED!TDIFF!TURNINGPOINTS n!TWOSTAGEWEIGHTScauses the prediction to include only model terms in t. It can beused for example to form a table of slopes as inHI ∼ mu X variety X.varietypredict variety X 1 !onlyuse X X.varietycauses ASReml to set up a prediction model based on the defaultrules and then adds the terms listed in t.gives the user control of the number of decimal places reportedin the table of predicted values where n is 0...9. The default is4. G15.9 format is used if n exceeds 9.When !VVP or !SED are used, the values are displayed with 6significant digits unless n is specified and even; then the valuesare displayed with 9 significant digits.instructs ASReml to attempt a plot of the predicted values. Thisqualifier is only applicable in versions of ASReml linked with theWinteracter Graphics library. If there is no argument, ASRemlproduces a figure of the predicted values as best it can. The usercan modify the appearance by typing to expose a menuor with the plot arguments listed in Table 10.2.instructs ASReml to print the predicted value, even if it is notof an estimable function. By default, ASReml only prints predictionsthat are of estimable functions.requests all standard errors of difference be printed. Normallyonly an average value is printed.requests t-statistics be printed for all combinations of predictedvalues.requests ASReml to scan the predicted values from a fitted linefor possible turning points and if found, report them and savethem internally in a vector which can be accessed by subsequentparts of the same job using $TPn. This was added to facilitatelocation of putative QTL.is intended for use with variety trials which will subsequently becombined in a meta analysis. It forms the variance matrix forthe predictions, inverts it and writes the predicted variety meanswith the corresponding diagonal elements of this matrix to the.pvs file. These values are used in some variety testing programsin Australia for a subsequent second stage analysis across manytrials. A data base is used to collect the results from the individualtrials and write out the combined data set. The diagonalelements are used as weights in the combined analysis.