Analysis Using SAS 

To test the equality of check variety effects, accession effects and to compare accessions with check varieties, treatment contrast analysis is to be performed therefore, for ease of understanding, recode the accession number and check variety as follows:  

 The analysis of the data is performed using PROC GLM of SAS. The SAS commands are given in the sequel.

Data Input:

For performing analysis, input the data in the following format. 

{Here block is termed as blk, treatment as trt and yield as yld. It may, however, be noted that one can retain the same name or can code in any other fashion}.

data augmented_2;   /*one can enter any other name for data*/

input blk trt yld;

cards;

1          1          83

1          2          77

1          3          78

1          4          78

1          7          70

1          11        75

1          12        74

2          1          79

2          2          81

2          3          81

2          4          91

2          5          79

2          9          78

3          1          92

3          2          79

3          3          87

3          4          81

3          8          96

3          6          89

3          10        82

;

To test the significance of treatments one can perform the analysis of variance of the data and can perform Contrast analysis by using PROC GLM. This can be done using the following steps.

The following SAS statements can be made use of:

proc glm;

class blk trt;

model yld = blk trt;

lsmeans trt/pdiff;

contrast 'controls' trt 1 -1 0 0 0 0 0 0 0 0 0 0,

                             trt 1 1 -2 0 0 0 0 0 0 0 0 0,

                             trt 1 1 1 -3 0 0 0 0 0 0 0 0;

contrast 'tests' trt 0 0 0 0 1 -1 0 0 0 0 0 0,

                       trt 0 0 0 0 1 1 -2 0 0 0 0 0,

                       trt 0 0 0 0 1 1 1 -3 0 0 0 0,

                       trt 0 0 0 0 1 1 1 1 -4 0 0 0,

                       trt 0 0 0 0 1 1 1 1 1 -5 0 0,

                       trt 0 0 0 0 1 1 1 1 1 1 -6 0,

                       trt 0 0 0 0 1 1 1 1 1 1 1 -7;

contrast 'test vs controls' trt -2 -2 -2 -2 1 1 1 1 1 1 1 1;

run;