Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices

Abstract: The objective of this work was to evaluate the effects of genomic information on the genetic evaluation of hip height in Brahman cattle using different matrices built from genomic and pedigree data. Hip height measurements from 1,695 animals, genotyped with high-density SNP chip or imputed from 50 K high-density SNP chip, were used. The numerator relationship matrix (NRM) was compared with the H matrix, which incorporated the NRM and genomic relationship (G) matrix simultaneously. The genotypes were used to estimate three versions of G: observed allele frequency (HGOF), average minor allele frequency (HGMF), and frequency of 0.5 for all markers (HG50). For matrix comparisons, animal data were either used in full or divided into calibration (80% older animals) and validation (20% younger animals) datasets. The accuracy values for the NRM, HGOF, and HG50 were 0.776, 0.813, and 0.594, respectively. The NRM and HGOF showed similar minor variances for diagonal and off-diagonal elements, as well as for estimated breeding values. The use of genomic information resulted in relationship estimates similar to those obtained based on pedigree; however, HGOF is the best option for estimating the genomic relationship matrix and results in a higher prediction accuracy. The ranking of the top 20% animals was very similar for all matrices, but the ranking within them varies depending on the method used.

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Main Authors: Farah,Michel Marques, Fortes,Marina Rufino Salinas, Kelly,Matthew, Porto-Neto,Laercio Ribeiro, Meira,Camila Tangari, Carreño,Luis Orlando Duitama, Fonseca,Ricardo da, Moore,Stephen Stewart
Format: Digital revista
Language:English
Published: Embrapa Secretaria de Pesquisa e Desenvolvimento 2018
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000600717
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spelling oai:scielo:S0100-204X20180006007172018-08-27Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matricesFarah,Michel MarquesFortes,Marina Rufino SalinasKelly,MatthewPorto-Neto,Laercio RibeiroMeira,Camila TangariCarreño,Luis Orlando DuitamaFonseca,Ricardo daMoore,Stephen Stewart Bos indicus beef cattle genomics rare alleles Abstract: The objective of this work was to evaluate the effects of genomic information on the genetic evaluation of hip height in Brahman cattle using different matrices built from genomic and pedigree data. Hip height measurements from 1,695 animals, genotyped with high-density SNP chip or imputed from 50 K high-density SNP chip, were used. The numerator relationship matrix (NRM) was compared with the H matrix, which incorporated the NRM and genomic relationship (G) matrix simultaneously. The genotypes were used to estimate three versions of G: observed allele frequency (HGOF), average minor allele frequency (HGMF), and frequency of 0.5 for all markers (HG50). For matrix comparisons, animal data were either used in full or divided into calibration (80% older animals) and validation (20% younger animals) datasets. The accuracy values for the NRM, HGOF, and HG50 were 0.776, 0.813, and 0.594, respectively. The NRM and HGOF showed similar minor variances for diagonal and off-diagonal elements, as well as for estimated breeding values. The use of genomic information resulted in relationship estimates similar to those obtained based on pedigree; however, HGOF is the best option for estimating the genomic relationship matrix and results in a higher prediction accuracy. The ranking of the top 20% animals was very similar for all matrices, but the ranking within them varies depending on the method used.info:eu-repo/semantics/openAccessEmbrapa Secretaria de Pesquisa e DesenvolvimentoPesquisa Agropecuária BrasileiraPesquisa Agropecuária Brasileira v.53 n.6 20182018-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000600717en10.1590/s0100-204x2018000600008
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Farah,Michel Marques
Fortes,Marina Rufino Salinas
Kelly,Matthew
Porto-Neto,Laercio Ribeiro
Meira,Camila Tangari
Carreño,Luis Orlando Duitama
Fonseca,Ricardo da
Moore,Stephen Stewart
spellingShingle Farah,Michel Marques
Fortes,Marina Rufino Salinas
Kelly,Matthew
Porto-Neto,Laercio Ribeiro
Meira,Camila Tangari
Carreño,Luis Orlando Duitama
Fonseca,Ricardo da
Moore,Stephen Stewart
Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices
author_facet Farah,Michel Marques
Fortes,Marina Rufino Salinas
Kelly,Matthew
Porto-Neto,Laercio Ribeiro
Meira,Camila Tangari
Carreño,Luis Orlando Duitama
Fonseca,Ricardo da
Moore,Stephen Stewart
author_sort Farah,Michel Marques
title Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices
title_short Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices
title_full Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices
title_fullStr Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices
title_full_unstemmed Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices
title_sort accuracy of genomic selection predictions for hip height in brahman cattle using different relationship matrices
description Abstract: The objective of this work was to evaluate the effects of genomic information on the genetic evaluation of hip height in Brahman cattle using different matrices built from genomic and pedigree data. Hip height measurements from 1,695 animals, genotyped with high-density SNP chip or imputed from 50 K high-density SNP chip, were used. The numerator relationship matrix (NRM) was compared with the H matrix, which incorporated the NRM and genomic relationship (G) matrix simultaneously. The genotypes were used to estimate three versions of G: observed allele frequency (HGOF), average minor allele frequency (HGMF), and frequency of 0.5 for all markers (HG50). For matrix comparisons, animal data were either used in full or divided into calibration (80% older animals) and validation (20% younger animals) datasets. The accuracy values for the NRM, HGOF, and HG50 were 0.776, 0.813, and 0.594, respectively. The NRM and HGOF showed similar minor variances for diagonal and off-diagonal elements, as well as for estimated breeding values. The use of genomic information resulted in relationship estimates similar to those obtained based on pedigree; however, HGOF is the best option for estimating the genomic relationship matrix and results in a higher prediction accuracy. The ranking of the top 20% animals was very similar for all matrices, but the ranking within them varies depending on the method used.
publisher Embrapa Secretaria de Pesquisa e Desenvolvimento
publishDate 2018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000600717
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