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A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation

A sampling-based method for estimating the accuracy of estimated breeding values using an animal model is presented. Empirical variances of true and estimated breeding values were estimated from a simulated n-sample. The method was validated using a small data set from the Parthenaise breed with the...

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Detalles Bibliográficos
Autores principales: Fouilloux, Marie-Noëlle, Laloë, Denis
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2705400/
https://www.ncbi.nlm.nih.gov/pubmed/11712970
http://dx.doi.org/10.1186/1297-9686-33-5-473
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author Fouilloux, Marie-Noëlle
Laloë, Denis
author_facet Fouilloux, Marie-Noëlle
Laloë, Denis
author_sort Fouilloux, Marie-Noëlle
collection PubMed
description A sampling-based method for estimating the accuracy of estimated breeding values using an animal model is presented. Empirical variances of true and estimated breeding values were estimated from a simulated n-sample. The method was validated using a small data set from the Parthenaise breed with the estimated coefficient of determination converging to the true values. It was applied to the French Salers data file used for the 2000 on-farm evaluation (IBOVAL) of muscle development score. A drawback of the method is its computational demand. Consequently, convergence can not be achieved in a reasonable time for very large data files. Two advantages of the method are that a) it is applicable to any model (animal, sire, multivariate, maternal effects...) and b) it supplies off-diagonal coefficients of the inverse of the mixed model equations and can therefore be the basis of connectedness studies.
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spelling pubmed-27054002009-07-03 A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation Fouilloux, Marie-Noëlle Laloë, Denis Genet Sel Evol Research A sampling-based method for estimating the accuracy of estimated breeding values using an animal model is presented. Empirical variances of true and estimated breeding values were estimated from a simulated n-sample. The method was validated using a small data set from the Parthenaise breed with the estimated coefficient of determination converging to the true values. It was applied to the French Salers data file used for the 2000 on-farm evaluation (IBOVAL) of muscle development score. A drawback of the method is its computational demand. Consequently, convergence can not be achieved in a reasonable time for very large data files. Two advantages of the method are that a) it is applicable to any model (animal, sire, multivariate, maternal effects...) and b) it supplies off-diagonal coefficients of the inverse of the mixed model equations and can therefore be the basis of connectedness studies. BioMed Central 2001-09-15 /pmc/articles/PMC2705400/ /pubmed/11712970 http://dx.doi.org/10.1186/1297-9686-33-5-473 Text en Copyright © 2001 INRA, EDP Sciences
spellingShingle Research
Fouilloux, Marie-Noëlle
Laloë, Denis
A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation
title A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation
title_full A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation
title_fullStr A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation
title_full_unstemmed A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation
title_short A sampling method for estimating the accuracy of predicted breeding values in genetic evaluation
title_sort sampling method for estimating the accuracy of predicted breeding values in genetic evaluation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2705400/
https://www.ncbi.nlm.nih.gov/pubmed/11712970
http://dx.doi.org/10.1186/1297-9686-33-5-473
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