Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.

Background: The sequencing and publication of the cattle genome and the identification of single nucleotide polymorphism (SNP) molecular markers have provided new tools for animal genetic evaluation and genomic-enhanced selection. These new tools aim to increase the accuracy and scope of selection while decreasing generation interval. The objective of this study was to evaluate the enhancement of accuracy caused by the use of genomic information (Clarifide® - Pfizer) on genetic evaluation of Brazilian Nellore cattle. Review: The application of genome-wide association studies (GWAS) is recognized as one of the most practical approaches to modern genetic improvement. Genomic selection is perhaps most suited to the improvement of traits with low heritability in zebu cattle. The primary interest in livestock genomics has been to estimate the effects of all the markers on the chip, conduct cross-validation to determine accuracy, and apply the resulting information in GWAS either alone [9] or in combination with bull test and pedigree-based genetic evaluation data. The cost of SNP50K genotyping however limits the commercial application of GWAS based on all the SNPs on the chip. However, reasonable predictability and accuracy can be achieved in GWAS by using an assay that contains an optimally selected predictive subset of markers, as opposed to all the SNPs on the chip. The best way to integrate genomic information into genetic improvement programs is to have it included in traditional genetic evaluations. This approach combines traditional expected progeny differences based on phenotype and pedigree with the genomic breeding values based on the markers. Including the different sources of information into a multiple trait genetic evaluation model, for within breed dairy cattle selection, is working with excellent results. However, given the wide genetic diversity of zebu breeds, the high-density panel used for genomic selection in dairy cattle (Ilumina Bovine SNP50 array) appears insufficient for across-breed genomic predictions and selection in beef cattle. Today there is only one breed-specific targeted SNP panel and genomic predictions developed using animals across the entire population of the Nellore breed (www.pfizersaudeanimal.com), which enables genomically - enhanced selection. Genomic profiles are a way to enhance our current selection tools to achieve more accurate predictions for younger animals. Material and Methods: We analyzed the age at first calving (AFC), accumulated productivity (ACP), stayability (STAY) and heifer pregnancy at 30 months (HP30) in Nellore cattle fitting two different animal models; 1) a traditional single trait model, and 2) a two-trait model where the genomic breeding value or molecular value prediction (MVP) was included as a correlated trait. All mixed model analyses were performed using the statistical software ASREML 3.0. Results: Genetic correlation estimates between AFC, ACP, STAY, HP30 and respective MVPs ranged from 0.29 to 0.46. Results also showed an increase of 56%, 36%, 62% and 19% in estimated accuracy of AFC, ACP, STAY and HP30 when MVP information was included in the animal model. Conclusion: Depending upon the trait, integration of MVP information into genetic evaluation resulted in increased accuracy of 19% to 62% as compared to accuracy from traditional genetic evaluation. GE-EPD will be an effective tool to enable faster genetic improvement through more dependable selection of young animals.

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Autores principales: LÔBO, R. B., NKRUMAH, D., GROSSI, D. do A., BARROS, P. S. de, PAIVA, P., BEZERRA, L. A. F., OLIVEIRA, H. N. de, SILVA, M. V. G. B.
Otros Autores: Raysildo Barbosa Lôbo, USP; Donald Nkrumah, Pfizer Animal Genetics - Kalamazoo, MI, USA; Daniela do Amaral Grossi, ANCP; Priscila Sales de Barros, Pfizer Animal Genetics - SP; Pablo Paiva, Pfizer Saúde Animal - SP; Luiz Antônio Framatino Bezerra, USP; Henrique Nunes de Oliveira, UNESP; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL.
Formato: Separatas biblioteca
Idioma:English
eng
Publicado: 2017-02-15
Materias:DNA Markers, Genomic Enhanced EPDs, Genetic Evaluation, Genomic Selection, Nellore Cattle, SNP,
Acceso en línea:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064370
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record_format koha
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic DNA Markers
Genomic Enhanced EPDs
Genetic Evaluation
Genomic Selection
Nellore Cattle
SNP
DNA Markers
Genomic Enhanced EPDs
Genetic Evaluation
Genomic Selection
Nellore Cattle
SNP
spellingShingle DNA Markers
Genomic Enhanced EPDs
Genetic Evaluation
Genomic Selection
Nellore Cattle
SNP
DNA Markers
Genomic Enhanced EPDs
Genetic Evaluation
Genomic Selection
Nellore Cattle
SNP
LÔBO, R. B.
NKRUMAH, D.
GROSSI, D. do A.
BARROS, P. S. de
PAIVA, P.
BEZERRA, L. A. F.
OLIVEIRA, H. N. de
SILVA, M. V. G. B.
Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.
description Background: The sequencing and publication of the cattle genome and the identification of single nucleotide polymorphism (SNP) molecular markers have provided new tools for animal genetic evaluation and genomic-enhanced selection. These new tools aim to increase the accuracy and scope of selection while decreasing generation interval. The objective of this study was to evaluate the enhancement of accuracy caused by the use of genomic information (Clarifide® - Pfizer) on genetic evaluation of Brazilian Nellore cattle. Review: The application of genome-wide association studies (GWAS) is recognized as one of the most practical approaches to modern genetic improvement. Genomic selection is perhaps most suited to the improvement of traits with low heritability in zebu cattle. The primary interest in livestock genomics has been to estimate the effects of all the markers on the chip, conduct cross-validation to determine accuracy, and apply the resulting information in GWAS either alone [9] or in combination with bull test and pedigree-based genetic evaluation data. The cost of SNP50K genotyping however limits the commercial application of GWAS based on all the SNPs on the chip. However, reasonable predictability and accuracy can be achieved in GWAS by using an assay that contains an optimally selected predictive subset of markers, as opposed to all the SNPs on the chip. The best way to integrate genomic information into genetic improvement programs is to have it included in traditional genetic evaluations. This approach combines traditional expected progeny differences based on phenotype and pedigree with the genomic breeding values based on the markers. Including the different sources of information into a multiple trait genetic evaluation model, for within breed dairy cattle selection, is working with excellent results. However, given the wide genetic diversity of zebu breeds, the high-density panel used for genomic selection in dairy cattle (Ilumina Bovine SNP50 array) appears insufficient for across-breed genomic predictions and selection in beef cattle. Today there is only one breed-specific targeted SNP panel and genomic predictions developed using animals across the entire population of the Nellore breed (www.pfizersaudeanimal.com), which enables genomically - enhanced selection. Genomic profiles are a way to enhance our current selection tools to achieve more accurate predictions for younger animals. Material and Methods: We analyzed the age at first calving (AFC), accumulated productivity (ACP), stayability (STAY) and heifer pregnancy at 30 months (HP30) in Nellore cattle fitting two different animal models; 1) a traditional single trait model, and 2) a two-trait model where the genomic breeding value or molecular value prediction (MVP) was included as a correlated trait. All mixed model analyses were performed using the statistical software ASREML 3.0. Results: Genetic correlation estimates between AFC, ACP, STAY, HP30 and respective MVPs ranged from 0.29 to 0.46. Results also showed an increase of 56%, 36%, 62% and 19% in estimated accuracy of AFC, ACP, STAY and HP30 when MVP information was included in the animal model. Conclusion: Depending upon the trait, integration of MVP information into genetic evaluation resulted in increased accuracy of 19% to 62% as compared to accuracy from traditional genetic evaluation. GE-EPD will be an effective tool to enable faster genetic improvement through more dependable selection of young animals.
author2 Raysildo Barbosa Lôbo, USP; Donald Nkrumah, Pfizer Animal Genetics - Kalamazoo, MI, USA; Daniela do Amaral Grossi, ANCP; Priscila Sales de Barros, Pfizer Animal Genetics - SP; Pablo Paiva, Pfizer Saúde Animal - SP; Luiz Antônio Framatino Bezerra, USP; Henrique Nunes de Oliveira, UNESP; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL.
author_facet Raysildo Barbosa Lôbo, USP; Donald Nkrumah, Pfizer Animal Genetics - Kalamazoo, MI, USA; Daniela do Amaral Grossi, ANCP; Priscila Sales de Barros, Pfizer Animal Genetics - SP; Pablo Paiva, Pfizer Saúde Animal - SP; Luiz Antônio Framatino Bezerra, USP; Henrique Nunes de Oliveira, UNESP; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL.
LÔBO, R. B.
NKRUMAH, D.
GROSSI, D. do A.
BARROS, P. S. de
PAIVA, P.
BEZERRA, L. A. F.
OLIVEIRA, H. N. de
SILVA, M. V. G. B.
format Separatas
topic_facet DNA Markers
Genomic Enhanced EPDs
Genetic Evaluation
Genomic Selection
Nellore Cattle
SNP
author LÔBO, R. B.
NKRUMAH, D.
GROSSI, D. do A.
BARROS, P. S. de
PAIVA, P.
BEZERRA, L. A. F.
OLIVEIRA, H. N. de
SILVA, M. V. G. B.
author_sort LÔBO, R. B.
title Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.
title_short Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.
title_full Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.
title_fullStr Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.
title_full_unstemmed Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.
title_sort implementation of dna markers to produce genomically - enhanced epds in nellore cattle.
publishDate 2017-02-15
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064370
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spelling dig-alice-doc-10643702017-08-16T04:11:23Z Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle. LÔBO, R. B. NKRUMAH, D. GROSSI, D. do A. BARROS, P. S. de PAIVA, P. BEZERRA, L. A. F. OLIVEIRA, H. N. de SILVA, M. V. G. B. Raysildo Barbosa Lôbo, USP; Donald Nkrumah, Pfizer Animal Genetics - Kalamazoo, MI, USA; Daniela do Amaral Grossi, ANCP; Priscila Sales de Barros, Pfizer Animal Genetics - SP; Pablo Paiva, Pfizer Saúde Animal - SP; Luiz Antônio Framatino Bezerra, USP; Henrique Nunes de Oliveira, UNESP; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. DNA Markers Genomic Enhanced EPDs Genetic Evaluation Genomic Selection Nellore Cattle SNP Background: The sequencing and publication of the cattle genome and the identification of single nucleotide polymorphism (SNP) molecular markers have provided new tools for animal genetic evaluation and genomic-enhanced selection. These new tools aim to increase the accuracy and scope of selection while decreasing generation interval. The objective of this study was to evaluate the enhancement of accuracy caused by the use of genomic information (Clarifide® - Pfizer) on genetic evaluation of Brazilian Nellore cattle. Review: The application of genome-wide association studies (GWAS) is recognized as one of the most practical approaches to modern genetic improvement. Genomic selection is perhaps most suited to the improvement of traits with low heritability in zebu cattle. The primary interest in livestock genomics has been to estimate the effects of all the markers on the chip, conduct cross-validation to determine accuracy, and apply the resulting information in GWAS either alone [9] or in combination with bull test and pedigree-based genetic evaluation data. The cost of SNP50K genotyping however limits the commercial application of GWAS based on all the SNPs on the chip. However, reasonable predictability and accuracy can be achieved in GWAS by using an assay that contains an optimally selected predictive subset of markers, as opposed to all the SNPs on the chip. The best way to integrate genomic information into genetic improvement programs is to have it included in traditional genetic evaluations. This approach combines traditional expected progeny differences based on phenotype and pedigree with the genomic breeding values based on the markers. Including the different sources of information into a multiple trait genetic evaluation model, for within breed dairy cattle selection, is working with excellent results. However, given the wide genetic diversity of zebu breeds, the high-density panel used for genomic selection in dairy cattle (Ilumina Bovine SNP50 array) appears insufficient for across-breed genomic predictions and selection in beef cattle. Today there is only one breed-specific targeted SNP panel and genomic predictions developed using animals across the entire population of the Nellore breed (www.pfizersaudeanimal.com), which enables genomically - enhanced selection. Genomic profiles are a way to enhance our current selection tools to achieve more accurate predictions for younger animals. Material and Methods: We analyzed the age at first calving (AFC), accumulated productivity (ACP), stayability (STAY) and heifer pregnancy at 30 months (HP30) in Nellore cattle fitting two different animal models; 1) a traditional single trait model, and 2) a two-trait model where the genomic breeding value or molecular value prediction (MVP) was included as a correlated trait. All mixed model analyses were performed using the statistical software ASREML 3.0. Results: Genetic correlation estimates between AFC, ACP, STAY, HP30 and respective MVPs ranged from 0.29 to 0.46. Results also showed an increase of 56%, 36%, 62% and 19% in estimated accuracy of AFC, ACP, STAY and HP30 when MVP information was included in the animal model. Conclusion: Depending upon the trait, integration of MVP information into genetic evaluation resulted in increased accuracy of 19% to 62% as compared to accuracy from traditional genetic evaluation. GE-EPD will be an effective tool to enable faster genetic improvement through more dependable selection of young animals. 2017-02-15T11:11:11Z 2017-02-15T11:11:11Z 2017-02-15 2011 2017-02-15T11:11:11Z Separatas Acta Scientiae Veterinariae, v. 39, suppl. 1, p. s23-s27, 2011. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064370 en eng openAccess