GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model

Animals : an Open Access Journal From MDPI
Luis Varona, Andrés Legarra

Abstract

(1) Background: Ranking traits are used commonly for breeding purposes in several equine populations; however, implementation is complex, because the position of a horse in a competition event is discontinuous and is influenced by the performance of its competitors. One approach to overcoming these limitations is to assume an underlying Gaussian liability that represents a horse's performance and dictates the observed classification in a competition event. That approach can be implemented using Montecarlo Markov Chain (McMC) techniques with a procedure known as the Thurstonian model. (2) Methods: We have developed software (GIBBSTHUR) that analyses ranking traits along with other continuous or threshold traits. The software implements a Gibbs Sampler scheme with a data-augmentation step for the liability of the ranking traits and provides estimates of the variance and covariance components and predictions of the breeding values and the average performance of the competitors in competition events. (3) Results: The results of a simple example are presented, in which it is shown that the procedure can recover the simulated variance and covariance components. In addition, the correlation between the simulated and predicted breeding...Continue Reading

References

May 3, 2001·Genetics, Selection, Evolution : GSE·A Ricard, I Chanu
Jan 30, 2010·Genetics, Selection, Evolution : GSE·Anne Ricard, Andrés Legarra
Jun 22, 2017·Animal : an International Journal of Animal Bioscience·S García-BallesterosI Cervantes

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Citations

Jun 26, 2020·Animals : an Open Access Journal From MDPI·Isabel CervantesLuis Varona

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Software Mentioned

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GIBBSTHUR

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