Hi group

I need your suggestion about appropriate measure to tackle non-normal data. I ran an agronomic experiment for three years. I am modeling it using Proc Mixed. I found that data do not meet the assumption of normality. The problem I found that response variables values are quite different for one year compared to other two years. The part of the reason it is weather driven. I have tried log transformation but it didn't work at all. I don't know if I have to give less weights to data from that year or what can be the other approach. It is clear from the some of the preliminary that data have this problem because crop is adversely affected in one particular years compared to others.

I would appreciate any feedback on this.

Thanks

Bhupinder