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CLC number: Q78; TP31

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Received: 2007-09-12

Revision Accepted: 2007-09-14

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Journal of Zhejiang University SCIENCE B 2007 Vol.8 No.11 P.815~821


WOMBAT—A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML)

Author(s):  MEYER Karin

Affiliation(s):  Animal Genetics and Breeding Unit, University of New England, Armidale, New South Wales 2351, Australia

Corresponding email(s):   kmeyer@didgeridoo.une.edu.au

Key Words:  Software, Variance components, Genetic parameters, Mixed model, Restricted maximum likelihood

MEYER Karin. WOMBAT—A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML)[J]. Journal of Zhejiang University Science B, 2007, 8(11): 815~821.

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WOMBAT is a software package for quantitative genetic analyses of continuous traits, fitting a linear, mixed model; estimates of covariance components and the resulting genetic parameters are obtained by restricted maximum likelihood. A wide range of models, comprising numerous traits, multiple fixed and random effects, selected genetic covariance structures, random regression models and reduced rank estimation are accommodated. WOMBAT employs up-to-date numerical and computational methods. Together with the use of efficient compilers, this generates fast executable programs, suitable for large scale analyses. Use of WOMBAT is illustrated for a bivariate analysis. The package consists of the executable program, available for LINUX and WINDOWS environments, manual and a set of worked example, and can be downloaded free of charge from http://agbu.une.edu.au/~kmeyer/wombat.html

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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Open peer comments: Debate/Discuss/Question/Opinion



2014-08-17 12:09:20

I hope you are good.
I really enjoy wombat software
but I can't provide parameter file for using random regression models.
I need to see examples with more details about especially data set.
please help me.
thanks for your efforts.

liushudong@xinjaing sheep center<liushudong63@126.com>

2014-08-07 12:42:39

hello,we will learn sofeware tool.

Please provide your name, email address and a comment

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