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| Registros recuperados : 15 | |
| 2. |  | SANTOS, D. J.; BOISON, S. A.; UTSUNOMIYA, Y. T.; PEIXOTO, M. G. C. D.; TONHATI, H.; SÖLKNER, J.; SILVA, M. V. G. B. An approach to genomic analysis of longitudinal data using random regression In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: ASAS, 2014. 3 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 3. | | SANTIAGO, G. G.; SIQUEIRA, F.; BOISON, S. A.; CARDOSO, F. F.; REGITANO, L. C. de A.; TORRES JUNIOR, R. A. de A. Acurácia de imputação de genótipos para estudos de associação genômica em bovinos da raça Canchim. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 10., 2014, Campo Grande, MS. [Anais da..]. Campo Grande, MS: Embrapa Gado de Corte, 2014. p. 52-53. 2 p. (Embrapa Gado de Corte. Documentos, 208). Comissão organizadora: Grácia Maria Soares Rosinha, Alexandra Rocha de Oliveir, Rodrigo Carvalho Alva.| Biblioteca(s): Embrapa Gado de Corte. |
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| 4. | | BOISON, S. A.; SANTOS, D. J. A. dos; GARCIA, J. F.; SÖLKNER, J.; PEIXOTO, M. G. C. D.; SILVA, M. V. G. B. Genomic Evaluation Using 50K and Imputed HD Genotypes in Guzera (Bos indicus) Breed. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 5. | | BOISON, S. A.; NEVES, H. H. R.; O'BRIEN, A. M. P.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; SILVA, M. V. G. B.; SÖLKNER, J.; GARCIA, J. F. Imputation of non-genotyped individuals using genotyped progeny in Nellore, a Bos indicus cattle breed. Livestock Science, v. 166, p. 176-189, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | MÉSZÁROS, G.; BOISON, S. A.; O'BRIEN, A. M. P.; FERENCAKOVIC, M.; CURIK, I.; SILVA, M. V. G. B.; UTSONOMIYA, Y. T.; GARCIA, J. F.; SÖLKNER, J. Genomic analysis for managing small and endangered populations: a case study in Tyrol Grey cattle. Frontiers in Genetics, v. 6, p. 192-203, 2015. Article 173.| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | BOISON, S. A.; UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; NEVES, H. H. R.; MÉSZÁROS, G.; CARVALHEIRO, R.; GARCIA, J. F.; SILVA, M. V. G. B.; SÖLKNER, J. Accuracy of genomic predictions for dairy traits in Gyr cattle (Bos indicus) Warsaw: EAAP, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SILVA, M. V. G. B.; SANTOS, D. J. A. dos; BOISON, S. A.; UTSUNOMIYA, A. T. H.; CARMO, A. S.; SONSTEGARD, T. S.; COLE, J. B.; TASSELL, C. P. V. The development of genomics applied to dairy breeding. Livestock Science, v. 166, p. 66-75, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | MACHADO, M. A.; UTSUNOMIYA, A. T. H.; BOISON, S. A.; SANTOS, D. J. A. dos; UTSUNOMIYA, Y. T.; FONSECA, R. da; SÖLKNER, J.; GARCIA, J. F.; VERNEQUE, R. da S.; SILVA, M. V. G. B. Genome Wide Association Study for Calving Interval in Gyr Dairy Cattle. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | UTSUNOMIYA, A. T. H.; BOISON, S. A.; SANTOS, D. J. A. dos; UTSUNOMIYA, Y. T.; MACHADO, M. A.; VERNEQUE, R. da S.; SÖLKNER, J.; GARCIA, J. F.; FONSECA, R. da; SILVA, M. V. G. B. Genome Wide Scan for Age at First Calving in Gyr Dairy Cattle. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; BOISON, S. A.; UTSUNOMIYA, Y. T.; MILANESI, M.; BICKHART, D. M.; AJMONE-MARSAN, P.; SOLKNER, J.; GARCIA, J. F.; FONSECA, R. da; SILVA, M. V. G. B. Revealing misassembled segments in the bovine reference genome by high resolution linkage disequilibrium scan. BMC Genomics, v. 17, article 705, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | BOISON, S. A.; SANTOS, D. J. A.; UTSONOMIYA, A. H. T.; CARVALHEIRO, R.; NEVES, H. H. R.; O'BRIEN, A. M. P.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. Strategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle: Comparison of commercially available SNP chips. Journal of Dairy Science, v. 98, n. 7, p. 4969-4989, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | BOISON, S. A.; UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; NEVES, H. H. R.; CARVALHEIRO, R.; MÉSZÁROS, G.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; VERNEQUE, R. da S.; MACHADO, M. A.; PANETTO, J. C. do C.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. Accuracy of genomic predictions in Gyr (Bos indicus) dairy cattle. Journal of Dairy Science, v. 100, n. 7, p. 5479-5490, 2017.| Biblioteca(s): Embrapa Gado de Leite. |
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| 14. | | O'BRIEN, A. M. P.; HÖLLER, D.; BOISON, S. A.; MILANESI, M.; BOMBA, L.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; NEVES, H. H. R.; SILVA, M. V. G. B.; VAN TASSEL, C. P.; SOSTENGARD, T. S.; MÉSZÁROS, G.; AJMONE-MARSAN, P.; GARCIA, J. F.; SÖLKNER, J. Low levels of taurine introgression in the current Brazilian Nelore and Gir indicine cattle populations. Genetics Selection Evolution, v. 47, article 31, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | SÖLKNER, J.; PEREZ O'BRIEN, A. M.; HÖLLER, D.; BOISON, S. A.; MILANESI, M.; BOMBA, L.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; NEVES, H. H. R.; SILVA, M. V. G. B.; VAN TASSEL, C. P.; SOSTENGARD, T. S.; MÉSZÁROS, G.; AJMONE-MARSAN, P.; GARCIA, J. F. Zebuines kerngenom und taurine Mitochondrien: admixtur von Nelore, der größten brasilianischen rinderrasse. Nova Acta Leopoldina, NF 119, n. 404, p. 69-75, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 15 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
18/02/2016 |
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Data da última atualização: |
03/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MÉSZÁROS, G.; BOISON, S. A.; O'BRIEN, A. M. P.; FERENCAKOVIC, M.; CURIK, I.; SILVA, M. V. G. B.; UTSONOMIYA, Y. T.; GARCIA, J. F.; SÖLKNER, J. |
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Afiliação: |
Gábor Mészáros, University of Natural Resources and Life Sciences, Austria; Solomon A. Boison, University of Natural Resources and Life Sciences, Austria; Ana M. Pérez O'Brien, University of Natural Resources and Life Sciences, Austria; Maja Ferencakovic, University of Zagreb, Croatia; Ino Curik, University of Zagreb, Croatia; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; Yuri T. Utsunomiya, UNESP; Jose F. Garcia, UNESP; Johann Sölkner, University of Natural Resources and Life Sciences, Austria. |
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Título: |
Genomic analysis for managing small and endangered populations: a case study in Tyrol Grey cattle. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Frontiers in Genetics, v. 6, p. 192-203, 2015. |
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Idioma: |
Inglês |
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Notas: |
Article 173. |
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Conteúdo: |
Analysis of genomic data is increasingly becoming part of the livestock industry. Therefore, the routine collection of genomic information would be an invaluable resource for effective management of breeding programs in small, endangered populations. The objective of the paper was to demonstrate how genomic data could be used to analyse (1) linkage disequlibrium (LD), LD decay and the effective population size (NeLD); (2) Inbreeding level and effective population size (NeROH) based on runs of homozygosity (ROH); (3) Prediction of genomic breeding values (GEBV) using small within-breed and genomic information from other breeds. The Tyrol Grey population was used as an example, with the goal to highlight the potential of genomic analyses for small breeds. In addition to our own results we discuss additional use of genomics to assess relatedness, admixture proportions, and inheritance of harmful variants. The example data set consisted of 218 Tyrol Grey bull genotypes, which were all available AI bulls in the population. After standard quality control restrictions 34,581 SNPs remained for the analysis. A separate quality control was applied to determine ROH levels based on Illumina GenCall and Illumina GenTrain scores, resulting into 211 bulls and 33,604 SNPs. LD was computed as the squared correlation coefficient between SNPs within a 10 mega base pair (Mb) region. ROHs were derived based on regions covering at least 4, 8, and 16 Mb, suggesting that animals had common ancestors approximately 12, 6, and 3 generations ago, respectively. The corresponding mean inbreeding coefficients (F ROH) were 4.0% for 4 Mb, 2.9% for 8 Mb and 1.6% for 16 Mb runs. With an average generation interval of 5.66 years, estimated NeROH was 125 (NeROH>16 Mb), 186 (NeROH>8 Mb) and 370 (NeROH>4 Mb) indicating strict avoidance of close inbreeding in the population. The LD was used as an alternative method to infer the population history and the Ne. The results show a continuous decrease in NeLD, to 780, 120, and 80 for 100, 10, and 5 generations ago, respectively. Genomic selection was developed for and is working well in large breeds. The same methodology was applied in Tyrol Grey cattle, using different reference populations. Contrary to the expectations, the accuracy of GEBVs with very small within breed reference populations were very high, between 0.13-0.91 and 0.12-0.63, when estimated breeding values and deregressed breeding values were used as pseudo-phenotypes, respectively. Subsequent analyses confirmed the high accuracies being a consequence of low reliabilities of pseudo-phenotypes in the validation set, thus being heavily influenced by parent averages. Multi-breed and across breed reference sets gave inconsistent and lower accuracies. Genomic information may have a crucial role in management of small breeds, even if its primary usage differs from that of large breeds. It allows to assess relatedness between individuals, trends in inbreeding and to take decisions accordingly. These decisions would be based on the real genome architecture, rather than conventional pedigree information, which can be missing or incomplete. We strongly suggest the routine genotyping of all individuals that belong to a small breed in order to facilitate the effective management of endangered livestock populations. MenosAnalysis of genomic data is increasingly becoming part of the livestock industry. Therefore, the routine collection of genomic information would be an invaluable resource for effective management of breeding programs in small, endangered populations. The objective of the paper was to demonstrate how genomic data could be used to analyse (1) linkage disequlibrium (LD), LD decay and the effective population size (NeLD); (2) Inbreeding level and effective population size (NeROH) based on runs of homozygosity (ROH); (3) Prediction of genomic breeding values (GEBV) using small within-breed and genomic information from other breeds. The Tyrol Grey population was used as an example, with the goal to highlight the potential of genomic analyses for small breeds. In addition to our own results we discuss additional use of genomics to assess relatedness, admixture proportions, and inheritance of harmful variants. The example data set consisted of 218 Tyrol Grey bull genotypes, which were all available AI bulls in the population. After standard quality control restrictions 34,581 SNPs remained for the analysis. A separate quality control was applied to determine ROH levels based on Illumina GenCall and Illumina GenTrain scores, resulting into 211 bulls and 33,604 SNPs. LD was computed as the squared correlation coefficient between SNPs within a 10 mega base pair (Mb) region. ROHs were derived based on regions covering at least 4, 8, and 16 Mb, suggesting that animals had common ancestor... Mostrar Tudo |
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Palavras-Chave: |
Breed management; Endangered breeds; Genomic selection; Runs of homozygosity; SNP chip. |
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Thesaurus NAL: |
linkage disequilibrium. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/139371/1/Cnpgl-2015-FrontGen-Genomic.pdf
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Marc: |
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100 1 $aMÉSZÁROS, G.
245 $aGenomic analysis for managing small and endangered populations$ba case study in Tyrol Grey cattle.$h[electronic resource]
260 $c2015
500 $aArticle 173.
520 $aAnalysis of genomic data is increasingly becoming part of the livestock industry. Therefore, the routine collection of genomic information would be an invaluable resource for effective management of breeding programs in small, endangered populations. The objective of the paper was to demonstrate how genomic data could be used to analyse (1) linkage disequlibrium (LD), LD decay and the effective population size (NeLD); (2) Inbreeding level and effective population size (NeROH) based on runs of homozygosity (ROH); (3) Prediction of genomic breeding values (GEBV) using small within-breed and genomic information from other breeds. The Tyrol Grey population was used as an example, with the goal to highlight the potential of genomic analyses for small breeds. In addition to our own results we discuss additional use of genomics to assess relatedness, admixture proportions, and inheritance of harmful variants. The example data set consisted of 218 Tyrol Grey bull genotypes, which were all available AI bulls in the population. After standard quality control restrictions 34,581 SNPs remained for the analysis. A separate quality control was applied to determine ROH levels based on Illumina GenCall and Illumina GenTrain scores, resulting into 211 bulls and 33,604 SNPs. LD was computed as the squared correlation coefficient between SNPs within a 10 mega base pair (Mb) region. ROHs were derived based on regions covering at least 4, 8, and 16 Mb, suggesting that animals had common ancestors approximately 12, 6, and 3 generations ago, respectively. The corresponding mean inbreeding coefficients (F ROH) were 4.0% for 4 Mb, 2.9% for 8 Mb and 1.6% for 16 Mb runs. With an average generation interval of 5.66 years, estimated NeROH was 125 (NeROH>16 Mb), 186 (NeROH>8 Mb) and 370 (NeROH>4 Mb) indicating strict avoidance of close inbreeding in the population. The LD was used as an alternative method to infer the population history and the Ne. The results show a continuous decrease in NeLD, to 780, 120, and 80 for 100, 10, and 5 generations ago, respectively. Genomic selection was developed for and is working well in large breeds. The same methodology was applied in Tyrol Grey cattle, using different reference populations. Contrary to the expectations, the accuracy of GEBVs with very small within breed reference populations were very high, between 0.13-0.91 and 0.12-0.63, when estimated breeding values and deregressed breeding values were used as pseudo-phenotypes, respectively. Subsequent analyses confirmed the high accuracies being a consequence of low reliabilities of pseudo-phenotypes in the validation set, thus being heavily influenced by parent averages. Multi-breed and across breed reference sets gave inconsistent and lower accuracies. Genomic information may have a crucial role in management of small breeds, even if its primary usage differs from that of large breeds. It allows to assess relatedness between individuals, trends in inbreeding and to take decisions accordingly. These decisions would be based on the real genome architecture, rather than conventional pedigree information, which can be missing or incomplete. We strongly suggest the routine genotyping of all individuals that belong to a small breed in order to facilitate the effective management of endangered livestock populations.
650 $alinkage disequilibrium
653 $aBreed management
653 $aEndangered breeds
653 $aGenomic selection
653 $aRuns of homozygosity
653 $aSNP chip
700 1 $aBOISON, S. A.
700 1 $aO'BRIEN, A. M. P.
700 1 $aFERENCAKOVIC, M.
700 1 $aCURIK, I.
700 1 $aSILVA, M. V. G. B.
700 1 $aUTSONOMIYA, Y. T.
700 1 $aGARCIA, J. F.
700 1 $aSÖLKNER, J.
773 $tFrontiers in Genetics$gv. 6, p. 192-203, 2015.
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