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 |
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Authors: | Laloë Denis, Fouilloux Marie-Noëlle |
Source: | Genetics Selection Evolution, Vol 33, Iss 5, Pp 473-486 (2001) |
Publisher Information: | BMC, 2001. |
Publication Year: | 2001 |
Collection: | LCC:Animal culture LCC:Genetics |
Subject Terms: | genetic evaluation, accuracy, sampling methods, Animal culture, SF1-1100, Genetics, QH426-470 |
More Details: | Abstract 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. |
Document Type: | article |
File Description: | electronic resource |
Language: | German English French |
ISSN: | 1297-9686 0999-193X |
Relation: | http://www.gsejournal.org/content/33/5/473; https://doaj.org/toc/0999-193X; https://doaj.org/toc/1297-9686 |
DOI: | 10.1186/1297-9686-33-5-473 |
Access URL: | https://doaj.org/article/2293e0ef981d4441b94e72f7d77ca400 |
Accession Number: | edsdoj.2293e0ef981d4441b94e72f7d77ca400 |
Database: | Directory of Open Access Journals |
ISSN: | 12979686 0999193X |
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DOI: | 10.1186/1297-9686-33-5-473 |
Published in: | Genetics Selection Evolution |
Language: | German English French |