You can use ReML in GenStat to analyze data from an augmented design. I assume that, as is normally the case, you have replicated check treatments. To do this correctly, best will be to personally discuss this with someone locally with good knowledge of GenStat.    

Add a block variable to the model to account for the augmented (new) data and fit the resulting model which will have one more term than before

Dear All, Thank for the answers.

The check are replicated in each of the block.

Regards.

How to analyse  Alpha Lattice Design in Plant Breeding, if possible provide me  solved example/research papers,  etc.

Rajendra, I used SAS POC GLM for alpha lattice design.

proc glm data=x ;

class rep blk gen ;

model yield=rep blk(rep) gen;

mean gen/ lsd;

run;

you might need to transform the data if your data do not follow normal distribution. Arcsine transformation would be appropriate for percentage data. if your data is between 30 to 70% no need to transform the data. please refer Gomez and Gomez, 1984. 

Thank for your answer

CHECK various software from CIMMYT official website. They are free.

you can use the R based software developed by CIMMYT. It is user friendly and gives more accurate results.