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| Registros recuperados : 67 | |
| 43. |  | FARIA, C. U. de; MAGNABOSCO, C. de U.; LOS REYES, A. de; LÔBO, R. B.; BEZERRA, L. A. F.; SAINZ, R. D. Bayesian inference on field data for genetic parameters for some reproctive and related traits of Nellore cattle (Bos indicus). Genetics and Molecular Biology, Ribeirão Preto, v. 30, n. 2 p. 343-348, 2007.| Biblioteca(s): Embrapa Cerrados. |
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| 44. | | FARIA, C. U. de; MAGNABOSCO, C. de U.; LOS REYES, A. de; LÔBO, R. B.; BEZERRA, L. A. F.; SAINZ, R. D. Bayesian inference on field data for genetic parameters for some reproductive and related traits of Nellore cattle ( Bos indicus). Genetics and Molecular Biology, Ribeirão Preto, v. 30, n. 2, p. 343-348, 2007.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 45. | | FARIA, C. U. de; KOURY FILHO, W.; MAGNABOSCO, C. de U.; ALBUQUERQUE, L. G. de; BEZERRA, L. A. F.; LÔBO, R. B. Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle Genetics and Molecular Biology, v. 32, n. 4, p. 753-760, 2009.| Biblioteca(s): Embrapa Cerrados. |
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| 46. | | FARIA, C. U. de; MAGNABOSCO, C. de U.; REYES, A. de los; LÔBO, R. B.; BEZERRA, L. A. F.; SAINZ, R. D. Bayesian inference in a quantitative genetic study of growth traits in Nelore cattle (Bos indicus). Genetics and Molecular Biology, v. 30, n. 3, p. 545-551, 2007.| Biblioteca(s): Embrapa Cerrados. |
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| 48. | | LÔBO, R. B.; BEZERRA, L. A. F.; OLIVEIRA, H. N.; MAGNABOSCO, C. de U.; ZAMBIANCHI, A. R.; ALBUQUERQUE, L. G.; BERGMANN, J. A. G.; SAINZ, R. D. Avaliação genética de animais jovens, touros e matrizes. Ribeirão Preto: USP-FMRP. Departamento de Genética. GEMAC, 2003. 86 p. il.| Biblioteca(s): Embrapa Pantanal. |
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| 51. | | BALDI, F.; FIGUEIREDO, L. G.; OLIVEIRA, H. N. de; MAGNABOSCO, C. de U.; BEZERRA, L. A. F.; FARIA, C. U.; LOBO, R. B. Bioeconomic selection index (EMGTe) for Nellore Brazil breeding program. In: International Conference on Quantitative Genetics, 5., 2016, Madison. Proceedings... Madison , 2016. (ICQG5)| Biblioteca(s): Embrapa Cerrados. |
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| 53. | | FARIA, C. U. de; MAGNABOSCO, C. de U.; ALBUQUERQUE, L. G. de; REYES, A. de los; BEZERRA, L. A. F.; LÔBO, R. B. Análise bayesiana na estimação de correlações genéticas entre escores visuais e características reprodutivas de bovinos da raça Nelore utilizando modelo animal linear-limiar. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 61, n. 4, p. 949-958, 2009.| Biblioteca(s): Embrapa Cerrados. |
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| 54. | | FARIA, C. U. de; MAGNABOSCO, C. de U.; ALBUQUERQUE, L. G. de; REYES, A. de los; LÔBO, R. B.; BEZERRA, L. A. F. Análise bayesiana na estimação de correlações genéticas entre escores visuais e características reprodutivas de bovinos da raça Nelore utilizando modelo animal linear-limiar. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 44., 2007, Jaboticabal. Anais... Jaboticabal: Unesp: SBZ, 2007. 1 CD-ROM| Biblioteca(s): Embrapa Cerrados. |
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| 56. | | MAGNABOSCO, C. de U.; FARIA, C. U. de; MADUREIRA, A. P.; ROSA, G. J.; BEZERRA, L. A. F.; LÔBO, R. B.; SAINZ, R. D. Análise genética de características morfológicas em bovinos da raça nelore utilizando modelos de limiar. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 42., 2005, Goiânia. A produção animal e o foco no agronegócio: anais eletrônico. Goiânia: SBZ, 2005. 1 CD-ROM.| Biblioteca(s): Embrapa Cerrados. |
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| 57. | | FARIA, C. U. de; MAGNABOSCO, C. U.; ALBUQUERQUE, L. G. de; REYES, A. de los; BEZERRA, L. A. F.; LOBO, R. B. Análise genética de escores de avaliação visual de bovinos com modelos bayesianos de limiar e linear. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 7, p. 835-841, jul. 2008.| Biblioteca(s): Embrapa Cerrados; Embrapa Unidades Centrais. |
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| 59. | | FARIA, C. U.; MAGNABOSCO, C. de U.; ALBUQUERQUE, L. G. de; REYES, A. de los; BEZERRA, L. A. F.; LÔBO, R. B. Estimativas de correlações genéticas entre escores visuais e características de crescimento em bovinos da raça Nelore utilizando modelos bayesianos linear-limiar. Ciência Animal Brasileira, v. 9, n. 2, p. 327-340, abr./jun. 2008.| Biblioteca(s): Embrapa Cerrados. |
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| 60. | | YOKOO, M. I.; ALBUQUERQUE, L. G. de; LÔBO, R. B.; SAINZ, R. D.; CARNEIRO JUNIOR, J. M.; BEZERRA, L. A. F.; ARAÚJO, F. R. da C. Estimativas de parâmetros genéticos para altura do posterior, peso e circunferência escrotal em bovinos de raça Nelore. Revista Brasileira de Zootecnia, Viçosa, MG, v. 36, n. 6, p. 1761-1768, 2007.| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 67 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
15/02/2017 |
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Data da última atualização: |
30/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
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. |
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Afiliação: |
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. |
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Título: |
Implementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Acta Scientiae Veterinariae, v. 39, suppl. 1, p. s23-s27, 2011. |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosBackground: 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 tradit... Mostrar Tudo |
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Palavras-Chave: |
DNA Markers; Genetic Evaluation; Genomic Enhanced EPDs; Genomic Selection; Nellore Cattle; SNP. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/155805/1/Cnpgl-2016-ActaSciVet-Implementation.pdf
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|
Marc: |
LEADER 04311naa a2200277 a 4500
001 2064370
005 2023-01-30
008 2011 bl uuuu u00u1 u #d
100 1 $aLÔBO, R. B.
245 $aImplementation of DNA markers to produce genomically - enhanced EPDs in Nellore cattle.$h[electronic resource]
260 $c2011
520 $aBackground: 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.
653 $aDNA Markers
653 $aGenetic Evaluation
653 $aGenomic Enhanced EPDs
653 $aGenomic Selection
653 $aNellore Cattle
653 $aSNP
700 1 $aNKRUMAH, D.
700 1 $aGROSSI, D. do A.
700 1 $aBARROS, P. S. de
700 1 $aPAIVA, P.
700 1 $aBEZERRA, L. A. F.
700 1 $aOLIVEIRA, H. N. de
700 1 $aSILVA, M. V. G. B.
773 $tActa Scientiae Veterinariae$gv. 39, suppl. 1, p. s23-s27, 2011.
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