The SAS System                              1
                                                07:22 Monday, April 18, 2011

                             The GLM Procedure

                          Class Level Information
 
      Class         Levels    Values

      variety            4    1 2 3 4                                

      time               3    1 2 3                                  

      state              4    1 2 3 4                                

      block             16    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 


                  Number of Observations Read         192
                  Number of Observations Used         192
                               The SAS System                              2
                                                07:22 Monday, April 18, 2011

                             The GLM Procedure
 
Dependent Variable: sr_acid   

                                     Sum of
 Source                    DF       Squares   Mean Square  F Value  Pr > F

 Model                    119   191.3896762     1.6083166     6.56  <.0001

 Error                     72    17.6606780     0.2452872                 

 Corrected Total          191   209.0503542                               


            R-Square     Coeff Var      Root MSE    sr_acid Mean

            0.915520      27.21302      0.495265        1.819955


 Source                    DF     Type I SS   Mean Square  F Value  Pr > F

 variety                    3   18.83407291    6.27802430    25.59  <.0001
 state                      3    9.50703997    3.16901332    12.92  <.0001
 variety*state              9    4.83639194    0.53737688     2.19  0.0324
 block(state)              12    2.52962601    0.21080217     0.86  0.5906
 variety*block(state)      36   13.43228637    0.37311907     1.52  0.0658
 time                       2   90.04044706   45.02022353   183.54  <.0001
 variety*time               6    7.00379095    1.16729849     4.76  0.0004
 time*state                 6   21.25649616    3.54274936    14.44  <.0001
 variety*time*state        18   11.34119200    0.63006622     2.57  0.0025
 time*block(state)         24   12.60833280    0.52534720     2.14  0.0070


 Source                    DF   Type III SS   Mean Square  F Value  Pr > F

 variety                    3   18.83407291    6.27802430    25.59  <.0001
 state                      3    9.50703997    3.16901332    12.92  <.0001
 variety*state              9    4.83639194    0.53737688     2.19  0.0324
 block(state)              12    2.52962601    0.21080217     0.86  0.5906
 variety*block(state)      36   13.43228637    0.37311907     1.52  0.0658
 time                       2   90.04044706   45.02022353   183.54  <.0001
 variety*time               6    7.00379095    1.16729849     4.76  0.0004
 time*state                 6   21.25649616    3.54274936    14.44  <.0001
 variety*time*state        18   11.34119200    0.63006622     2.57  0.0025
 time*block(state)         24   12.60833280    0.52534720     2.14  0.0070
                               The SAS System                              3
                                                07:22 Monday, April 18, 2011

                             The GLM Procedure

Source                Type III Expected Mean Square

variety               Var(Error) + 3 Var(variety*block(state)) +            
                      Q(variety,variety*state,variety*time,variety*time*    
                      state)                                                

state                 Var(Error) + 4 Var(time*block(state)) + 3             
                      Var(variety*block(state)) + 12 Var(block(state)) +    
                      Q(state,variety*state,time*state,variety*time*state)  

variety*state         Var(Error) + 3 Var(variety*block(state)) +            
                      Q(variety*state,variety*time*state)                   

block(state)          Var(Error) + 4 Var(time*block(state)) + 3             
                      Var(variety*block(state)) + 12 Var(block(state))      

variety*block(state)  Var(Error) + 3 Var(variety*block(state))              

time                  Var(Error) + 4 Var(time*block(state)) +               
                      Q(time,variety*time,time*state,variety*time*state)    

variety*time          Var(Error) + Q(variety*time,variety*time*state)       

time*state            Var(Error) + 4 Var(time*block(state)) +               
                      Q(time*state,variety*time*state)                      

variety*time*state    Var(Error) + Q(variety*time*state)                    

time*block(state)     Var(Error) + 4 Var(time*block(state))