Dear Mike,
From the information you supply, ASREML can handle the problem for a moderate
(say < 40,000) calves. From your description, I presume you will prepare a sire
pedigree file (which includes all sires and maternal grandsires)
i.e. sire.ped contains 3 fields
sire sire_of_sire dam or mgs
Assuming I understand the model you want (as there are many possabilities)
the ASREML job might be something like
Still birth study
calf
sire !P
mgs !P
sex 2
hys 2222 # where 2222 is number of HYS
stillbirth
sire.ped !skip 1 # !mgs
calf.dat
stillbirth ~ sex !r sire mgs !f hys # Normal trait
or
stillbirth !bin ~ sex !r sire mgs !f hys # Binomial trait
I would fit this first, and when you have values for the
sire and mgs variance components, extend the model to estimate their
covariance by appending
0 0 1
sire 2
2 0 US s-s s-mgs mgs-mgs
sire 0 AINV
where s-s is replaced by the sire variance component,
s-mgs by the covariance
mgs-mgs by the maternal variance component.
> X-Authentication-Warning: lamb.chiswick.anprod.csiro.au: petidomo set sender
to asreml-owner@ram.chiswick.anprod.csiro.au using -f
> From: "Mingfeng Luo" <MLUO@aps.uoguelph.ca>
> To: asreml@ram.chiswick.anprod.csiro.au
> Date: Wed, 9 Jun 1999 10:33:15 EDT
> Subject: AS-REML for stillbirth
>
> I try to estimate the genetic parameters of stillbirth of dairy
> cattle cattle. The model includes the sex effect of calf, HYS as
> random effects, sire and maternal grandsire as random genetic
> effects.
>
> Can AS-REML this problem?
>
> Thanks in advance.
>
>
> Mike Luo
> **********************************
> * Mike F. Luo *
> * Animal & Poultry Science *
> * Unversity of Guelph *
> * Guelph, ON, N1G 2W1 *
> * Tel: (519)824-4120 X 8354 *
> * Fax: (519)767-0573 *
> **********************************
>
>
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Senior Research Scientist (Biometrics) fax: <61> 2 6391 3899
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