SAS code for proc glimmix data - interaction analysis

[NaveenM]

 I'm a beginner to SAS environment. I'm in need of some clarifications regarding interaction analysis of field data. 

We have conducted field trials at four locations with six treatments and four replications.

We have used the code below for our analysis:

proc glimmix data=IMPORT;
   class TRT LOC;
   model LHC = TRT LOC LOC*TRT / solution ddfm=kr;
   random LOC;
run;

Where, LHC = Pest count, TRT = Treatment, REP = Replication, LOC = Location.

Result obtained for four locations with six treatments and four replications:

I got a similar analysis results of a reference article, in addition to the above results, the authors have added an additional result of Model Df and their F values. Reference:

Is there any additional analysis to be done for the Model df and F values as above. Thanks in advance.

[Ksharp]

Since it is F test, it looks like there are three individual models correspond to three F test.

Anyway, calling @lvm   @SteveDenham  @StatDave  could give you better explanation .

[lvm]

Since you are considering LOC a fixed effect (by putting it in the MODEL statement), you would not also include LOC as random effect (using the RANDOM statement).  

If your replicates are actually block (which I am calling rep here), then you would want to use

RANDOM rep(LOC);