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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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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2001
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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. |
format | Text |
id | pubmed-2705400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2001 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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