Literature DB >> 21524555

Short communication: Genomic selection using a multi-breed, across-country reference population.

J E Pryce1, B Gredler, S Bolormaa, P J Bowman, C Egger-Danner, C Fuerst, R Emmerling, J Sölkner, M E Goddard, B J Hayes.   

Abstract

Three breeds (Fleckvieh, Holstein, and Jersey) were included in a reference population, separately and together, to assess the accuracy of prediction of genomic breeding values in single-breed validation populations. The accuracy of genomic selection was defined as the correlation between estimated breeding values, calculated using phenotypic data, and genomic breeding values. The Holstein and Jersey populations were from Australia, whereas the Fleckvieh population (dual-purpose Simmental) was from Austria and Germany. Both a BLUP with a multi-breed genomic relationship matrix (GBLUP) and a Bayesian method (BayesA) were used to derive the prediction equations. The hypothesis tested was that having a multi-breed reference population increased the accuracy of genomic selection. Minimal advantage existed of either GBLUP or BayesA multi-breed genomic evaluations over single-breed evaluations. However, when the goal was to predict genomic breeding values for a breed with no individuals in the reference population, using 2 other breeds in the reference was generally better than only 1 breed.
Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21524555     DOI: 10.3168/jds.2010-3719

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  32 in total

1.  Genomic predictions in purebreds with a multibreed genomic relationship matrix1.

Authors:  Yvette Steyn; Daniela A L Lourenco; Ignacy Misztal
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

2.  Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep.

Authors:  Nasir Moghaddar; Andrew A Swan; Julius H J van der Werf
Journal:  Genet Sel Evol       Date:  2014-09-30       Impact factor: 4.297

3.  Genomic prediction based on data from three layer lines: a comparison between linear methods.

Authors:  Mario Pl Calus; Heyun Huang; Addie Vereijken; Jeroen Visscher; Jan Ten Napel; Jack J Windig
Journal:  Genet Sel Evol       Date:  2014-10-01       Impact factor: 4.297

4.  Accounting for Group-Specific Allele Effects and Admixture in Genomic Predictions: Theory and Experimental Evaluation in Maize.

Authors:  Simon Rio; Laurence Moreau; Alain Charcosset; Tristan Mary-Huard
Journal:  Genetics       Date:  2020-07-17       Impact factor: 4.562

5.  A comparison of principal component regression and genomic REML for genomic prediction across populations.

Authors:  Christos Dadousis; Roel F Veerkamp; Bjørg Heringstad; Marcin Pszczola; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2014-11-05       Impact factor: 4.297

6.  Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization Approaches.

Authors:  Simon Rio; Alain Charcosset; Tristan Mary-Huard; Laurence Moreau; Renaud Rincent
Journal:  Methods Mol Biol       Date:  2022

7.  Genome position specific priors for genomic prediction.

Authors:  Rasmus Froberg Brøndum; Guosheng Su; Mogens Sandø Lund; Philip J Bowman; Michael E Goddard; Benjamin J Hayes
Journal:  BMC Genomics       Date:  2012-10-10       Impact factor: 3.969

Review 8.  Whole-genome regression and prediction methods applied to plant and animal breeding.

Authors:  Gustavo de Los Campos; John M Hickey; Ricardo Pong-Wong; Hans D Daetwyler; Mario P L Calus
Journal:  Genetics       Date:  2012-06-28       Impact factor: 4.562

9.  Genomic prediction and training set optimization in a structured Mediterranean oat population.

Authors:  Simon Rio; Luis Gallego-Sánchez; Gracia Montilla-Bascón; Francisco J Canales; Julio Isidro Y Sánchez; Elena Prats
Journal:  Theor Appl Genet       Date:  2021-08-03       Impact factor: 5.699

10.  Joint genomic evaluation of French dairy cattle breeds using multiple-trait models.

Authors:  Sofiene Karoui; María Jesús Carabaño; Clara Díaz; Andrés Legarra
Journal:  Genet Sel Evol       Date:  2012-12-07       Impact factor: 4.297

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