Comparison of analyses of the QTLMAS XIV common dataset. I: genomic selection

BMC Proceedings

Proceedings

Tomasz Strabel¹  Sebastian Mucha¹  Maciej Szydlowski¹  Marcin Pszczola²  Anna Wolc³ 

[1] Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska 33, 60-637, Poznan, Poland;Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska 33, 60-637, Poznan, Poland;Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, 8200 AB, Lelystad, The Netherlands;Animal Breeding and Genomics Centre, Wageningen Institute of Animal Sciences Wageningen University, 6700 AH, Wageningen, The Netherlands;Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska 33, 60-637, Poznan, Poland;Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, 50011-3150, Ames, IA, USA;

关键词: Quantitative Trait;    Partial Little Square Regression;    Genomic Selection;    Mean Square Difference;    Binary Trait;   

DOI  :  10.1186/1753-6561-5-S3-S1

来源: Springer

【 摘 要 】

BackgroundFor the XIV QTLMAS workshop, a dataset for traits with complex genetic architecture has been simulated and released for analyses by participants. One of the tasks was to estimate direct genomic values for individuals without phenotypes. The aim of this paper was to compare results of different approaches used by the participants to calculate direct genomic values for quantitative trait (QT) and binary trait (BT).ResultsParticipants applied 26 approaches for QT and 15 approaches for BT. Accuracy for QT was between 0.26 and 0.89 for males and between 0.31 and 0.89 for females, and for BT ranged from 0.27 to 0.85. For QT, percentage of lost response to selection varied from 8% to 83%, whereas for BT the loss was between 15% and 71%.ConclusionsBayesian model averaging methods predicted breeding values slightly better than GBLUP in a simulated data set. The methods utilizing genomic information performed better than traditional pedigree based BLUP analyses. Bivariate analyses was slightly advantageous over single trait for the same method. None of the methods estimated the non-additivity of QTL affecting the QT, which may be one of the constrains in accuracy observed in real data.

【 授权许可】

Unknown   
© Pszczola et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.