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Abstract
The objective of this simulation study was to compare the effect of the number of QTL and distribution of QTL variance on the accuracy of breeding values estimated with genomewide markers (MEBV). Three distinct methods were used to calculate MEBV: a Bayesian Method (BM), Least Angle Regression (LARS) and Partial Least Square Regression (PLSR). The accuracy of MEBV calculated with BM and LARS decreased when the number of simulated QTL increased. The accuracy decreased more when QTL had different variance values than when all QTL had an equal variance. The accuracy of MEBV calculated with PLSR was affected neither by the number of QTL nor by the distribution of QTL variance. Additional simulations and analyses showed that these conclusions were not affected by the number of individuals in the training population, by the number of markers and by the heritability of the trait. Results of this study show that the effect of the number of QTL and distribution of QTL variance on the accuracy of MEBV depends on the method that is used to calculate MEBV
Original language  English 

Article number  9 
Number of pages  11 
Journal  Genetics, Selection, Evolution 
Volume  42 
DOIs  
Publication status  Published  2010 
Keywords
 partial leastsquares
 linkage disequilibrium
 dairycattle
 selection
 accuracy
 height
 loci
 identification
 association
 prediction
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Dive into the research topics of 'Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance'. Together they form a unique fingerprint.Projects
 1 Finished

ROBUSTMILK: Innovative and Practical Breeding Tools for Improved Dairy Products from More Robust Dairy Cattle
1/04/08 → 30/09/12
Project: EU research project