Re: Weighted analysis of METs

Dear Jerko,

The best form of MET model for analysis of means depends on the number of genotypes and number of environments.

Assuming numer of genotypes is much greater than number of environments,
and the G.E table is more than 50% full,

I would fit the models

!PART 1
yield !WT=wt ~ mu env !r env.gen
1 1 1
0 !S2==1.0
env.gen 2
env 0 CORUH 0.5
 e*v # where is is number of environments and v is a plausible genetic variance
gen

!PART 2
yield !WT=wt ~ mu env !r xfa(env,1).gen
1 1 1
0 !S2==1.0
xfa(env,1).gen 2
xfa(env,1) 0 XFA1
e*p # where p is half of v estimated in PART 1
e*l # where l is SQRT of covariance from part 1

gen

There is a draft discussion of these models at
ftp://asreml@cargovale.com.au:asreml@ftp.cargovale.com.au/CHasrxfa.pdf
if I've got the link right.

------------------------
Arthur Gilmour

Retired Principal Research Scientist (Biometrics)

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Received on Fri Jul 23 2009 - 10:16:59 EST