Next Article in Journal
Morphometric Characteristics of the Skull in Horses and Donkeys—A Pilot Study
Next Article in Special Issue
Genetic Diversity and Signatures of Selection in a Native Italian Horse Breed Based on SNP Data
Previous Article in Journal
Pharmacokinetic Profile of Oral Administration of Mefloquine to Clinically Normal Cats: A Preliminary In-Vivo Study of a Potential Treatment for Feline Infectious Peritonitis (FIP)
Previous Article in Special Issue
Mobility and Invasion Related Gene Expression Patterns in Equine Sarcoid
Article

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

1
Departamento de Anatomía, Embriología y Genética Animal, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50018 Zaragoza, Spain
2
Génétique Physiologie et Systèmes d’Elevage (GenPhySE), Institut National de la Recherche Agronomique de Toulouse, 31326 Castanet-Tolosan, France
*
Author to whom correspondence should be addressed.
Animals 2020, 10(6), 1001; https://doi.org/10.3390/ani10061001
Received: 29 April 2020 / Revised: 2 June 2020 / Accepted: 4 June 2020 / Published: 8 June 2020
(This article belongs to the Special Issue Horse Breeding and Genetics)
This article describes a new software (GIBBSTHUR) that provides Bayesian estimation of variance components and predictions of breeding values for ranking traits generated from equine competitions based on a Thurstonian approach. The GIBBSTHUR software was developed in FORTRAN 90 and can be executed in UNIX, OSX, or WINDOWS environments, and is freely available in a public repository (https://github.com/lvaronaunizar/Gibbsthur).
(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 values and between the estimates of the event effects and the average additive genetic effect of the competitors demonstrates the ability of the software to produce useful predictions for breeding purposes. (4) Conclusions: the GIBBSTHUR software provides a useful tool for the breeding evaluation of ranking traits in horses and is freely available in a public repository (https://github.com/lvaronaunizar/Gibbsthur). View Full-Text
Keywords: ranking traits; horse; breeding; Thurstonian model; Gibbs sampler ranking traits; horse; breeding; Thurstonian model; Gibbs sampler
Show Figures

Figure 1

MDPI and ACS Style

Varona, L.; Legarra, A. GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model. Animals 2020, 10, 1001. https://doi.org/10.3390/ani10061001

AMA Style

Varona L, Legarra A. GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model. Animals. 2020; 10(6):1001. https://doi.org/10.3390/ani10061001

Chicago/Turabian Style

Varona, Luis, and Andrés Legarra. 2020. "GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model" Animals 10, no. 6: 1001. https://doi.org/10.3390/ani10061001

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop