Literature DB >> 24630656

Within- and across-breed genomic predictions and genomic relationships for Western Pyrenees dairy sheep breeds Latxa, Manech, and Basco-Béarnaise.

A Legarra1, G Baloche2, F Barillet2, J M Astruc3, C Soulas4, X Aguerre4, F Arrese5, L Mintegi5, M Lasarte6, F Maeztu7, I Beltrán de Heredia8, E Ugarte8.   

Abstract

Genotypes, phenotypes and pedigrees of 6 breeds of dairy sheep (including subdivisions of Latxa, Manech, and Basco-Béarnaise) from the Spain and France Western Pyrenees were used to estimate genetic relationships across breeds (together with genotypes from the Lacaune dairy sheep) and to verify by forward cross-validation single-breed or multiple-breed genetic evaluations. The number of rams genotyped fluctuated between 100 and 1,300 but generally represented the 10 last cohorts of progeny-tested rams within each breed. Genetic relationships were assessed by principal components analysis of the genomic relationship matrices and also by the conservation of linkage disequilibrium patterns at given physical distances in the genome. Genomic and pedigree-based evaluations used daughter yield performances of all rams, although some of them were not genotyped. A pseudo-single step method was used in this case for genomic predictions. Results showed a clear structure in blond and black breeds for Manech and Latxa, reflecting historical exchanges, and isolation of Basco-Béarnaise and Lacaune. Relatedness between any 2 breeds was, however, lower than expected. Single-breed genomic predictions had accuracies comparable with other breeds of dairy sheep or small breeds of dairy cattle. They were more accurate than pedigree predictions for 5 out of 6 breeds, with absolute increases in accuracy ranging from 0.05 to 0.30 points. They were significantly better, as assessed by bootstrapping of candidates, for 2 of the breeds. Predictions using multiple populations only marginally increased the accuracy for a couple of breeds. Pooling populations does not increase the accuracy of genomic evaluations in dairy sheep; however, single-breed genomic predictions are more accurate, even for small breeds, and make the consideration of genomic schemes in dairy sheep interesting.
Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  best linear unbiased predictor (BLUP); dairy sheep; genomic selection; linkage disequilibrium; principal component

Mesh:

Year:  2014        PMID: 24630656     DOI: 10.3168/jds.2013-7745

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


  11 in total

1.  Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships.

Authors:  Andres Legarra; Ole F Christensen; Zulma G Vitezica; Ignacio Aguilar; Ignacy Misztal
Journal:  Genetics       Date:  2015-04-14       Impact factor: 4.562

2.  The impact of clustering methods for cross-validation, choice of phenotypes, and genotyping strategies on the accuracy of genomic predictions.

Authors:  Johnna L Baller; Jeremy T Howard; Stephen D Kachman; Matthew L Spangler
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

3.  Genomic prediction based on data from three layer lines using non-linear regression models.

Authors:  Heyun Huang; Jack J Windig; Addie Vereijken; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2014-11-06       Impact factor: 4.297

4.  Imputation of genotypes in Danish purebred and two-way crossbred pigs using low-density panels.

Authors:  Tao Xiang; Peipei Ma; Tage Ostersen; Andres Legarra; Ole F Christensen
Journal:  Genet Sel Evol       Date:  2015-06-30       Impact factor: 4.297

5.  Empirical and deterministic accuracies of across-population genomic prediction.

Authors:  Yvonne C J Wientjes; Roel F Veerkamp; Piter Bijma; Henk Bovenhuis; Chris Schrooten; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2015-02-06       Impact factor: 4.297

6.  Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs.

Authors:  Tao Xiang; Ole Fredslund Christensen; Zulma Gladis Vitezica; Andres Legarra
Journal:  Genet Sel Evol       Date:  2016-11-25       Impact factor: 4.297

7.  On the origin of European sheep as revealed by the diversity of the Balkan breeds and by optimizing population-genetic analysis tools.

Authors:  Elena Ciani; Salvatore Mastrangelo; Anne Da Silva; Fabio Marroni; Maja Ferenčaković; Paolo Ajmone-Marsan; Hayley Baird; Mario Barbato; Licia Colli; Chiara Delvento; Toni Dovenski; Gregor Gorjanc; Stephen J G Hall; Anila Hoda; Meng-Hua Li; Božidarka Marković; John McEwan; Mohammad H Moradi; Otsanda Ruiz-Larrañaga; Dragana Ružić-Muslić; Dragica Šalamon; Mojca Simčič; Ondrej Stepanek; Ino Curik; Vlatka Cubric-Curik; Johannes A Lenstra
Journal:  Genet Sel Evol       Date:  2020-05-14       Impact factor: 4.297

8.  Comparing SNP panels and statistical methods for estimating genomic breed composition of individual animals in ten cattle breeds.

Authors:  Jun He; Yage Guo; Jiaqi Xu; Hao Li; Anna Fuller; Richard G Tait; Xiao-Lin Wu; Stewart Bauck
Journal:  BMC Genet       Date:  2018-08-09       Impact factor: 2.797

9.  A fast indirect method to compute functions of genomic relationships concerning genotyped and ungenotyped individuals, for diversity management.

Authors:  Jean-Jacques Colleau; Isabelle Palhière; Silvia T Rodríguez-Ramilo; Andres Legarra
Journal:  Genet Sel Evol       Date:  2017-12-01       Impact factor: 4.297

10.  Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups.

Authors:  Fernando L Macedo; Ole F Christensen; Jean-Michel Astruc; Ignacio Aguilar; Yutaka Masuda; Andrés Legarra
Journal:  Genet Sel Evol       Date:  2020-08-12       Impact factor: 4.297

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