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CLC number: Q78; TP31

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 0000-00-00

Cited: 250

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Citations:  Bibtex RefMan EndNote GB/T7714

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Article info.
Open peer comments

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

http://doi.org/10.1631/jzus.2007.B0815


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



Abstract: 
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

Open peer comments: Debate/Discuss/Question/Opinion

<1>

SORAYA@RAFIEE<SORAYA.RAFIEE@YAHOO.COM>

2014-08-17 12:09:20

Hi;
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.

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