|
|
Registros recuperados : 35 | |
3. | | NASCIMENTO, G. B.; VENTURA, R. V.; LEDUR, M. C.; SAVEGNAGO, R. P.; SENO, L. de O.; MUNARI, D. P. Inbreeding effect and genotyping strategies for genomic selection in simulated data. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 41. ISAFG 2013. AB 34. Biblioteca(s): Embrapa Suínos e Aves. |
| |
5. | | CARRARA, E. R.; LOPES, P. S.; PEREZ, B. C.; VENTURA, R. V.; JOSAHKIAN, L. A.; PEIXOTO, M. G. C. D. Inbreeding and its effects on milk, growth, and reproductive traits in Guzerá cattle clustered by genetic similarity. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings... Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 336. Evento virtual. Biblioteca(s): Embrapa Gado de Leite. |
| |
6. | | SIMONELLI, S. M.; SILVA, M. A.; SILVA, L. O. C. da; PEREIRA, J. C. C.; SOUZA, J. E. R.; VENTURA, R. V.; VALENTE, B. D. Critérios de seleção para características de crescimento em bovinos da raça Nelore. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 56, n. 3, p. 374-384, jun. 2004. Título em inglês: Selection criteria for growth traits in Nellore cattle. Biblioteca(s): Embrapa Gado de Corte. |
| |
7. | | CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL. F. S.; URBINATI, I.; CARVALHEIRO, R.; REGITANO, L. C. de A.; MARCONDES, C. R.; MINARI, D. P. Accuracy of genotype imputation in Canchim cattle using FImpute and Beagle software., In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[ s.n.], 2013. AB.20. Biblioteca(s): Embrapa Pecuária Sudeste. |
| |
9. | | BUZANSKAS, M. E.; VENTURA, R. V.; REGITANO, L. C. de A.; SCHENKEL, F. S.; ALENCAR, M. M. de; MUNARI, D. P. Estudo de associações genômicas para idade ao primeiro e segundo parto em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Belo Horizonte: SBMA, 2013. 3 p. Biblioteca(s): Embrapa Pecuária Sudeste. |
| |
10. | | VIZONA, R. G.; PEREZ, B. da C.; PEIXOTO, M. G. C. D.; VIANA, J. H. M.; VENTURA, R. V.; VERCESI FILHO, A. E.; BALIEIRO, J. C. de C. Genetic analysis of in-vitro embryo production traits in Dairy Gir cattle. Theriogenology, v. 148, p. 149-161, 2020. Biblioteca(s): Embrapa Gado de Leite; Embrapa Recursos Genéticos e Biotecnologia. |
| |
11. | | FRIDRICH, A. B.; SILVA, M. A.; VALENTE, B. D.; SOUSA, J. E. R.; CORRÊA, G. S. S.; FERREIRA, I. C.; VENTURA, R. V.; SILVA, L. O. C. Interação genótipo x ambiente e estimativas de parâmetros genéticos dos pesos aos 205 e 365 dias de idade de bovinos Nelore. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 60, n. 4, p. 917-925, ago. 2008. Biblioteca(s): Embrapa Gado de Corte. |
| |
12. | | FREITAS, L. S.; SILVA, M. A.; VERNEQUE, R. S.; SANTOS, G. G.; CORRÊA, G. S.; VALENTE, B. D.; PEIXOTO, M. G. C. D.; VENTURA, R. V. Comparação de modelos de regressão aleatória, para avaliação genética da produção de leite no dia do controle de vacas Guzerá. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 7., 2008, São Carlos. Anais... São Carlos: SBMA, 2008. 1 CD. Biblioteca(s): Embrapa Gado de Leite. |
| |
13. | | PERIPOLLI, E.; CHIAIA, H. L. J.; BERTON, M. P.; KLUSKA, S.; STAFUZZA, N. B.; MUNARI, D. P.; PANETTO, J. C. do C.; MACHADO, M. A.; VENTURA, R. V.; BALDI, F.; SILVA, M. V. G. B. Ilhas de homozigose para identificação de genes relacionados com características de importância econômica na pecuária leiteira em bovinos da raça Gir (Bos primigenius indicus) In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 3 p. Biblioteca(s): Embrapa Gado de Leite. |
| |
14. | | SANTOS, F. C. dos; PEIXOTO, M. G. C. D.; FONSECA, P. A. de S.; PIRES, M. de F. A.; VENTURA, R. V.; ROSSE, I. da C.; BRUNELI, F. A. T.; MACHADO, M. A.; CARVALHO, M. R. S. Identification of candidate genes for reactivity in Guzerat (Bos indicus) cattle: a genome-wide association study. PLoS ONE, v. 12, n. 1, 2017. 15 p. Biblioteca(s): Embrapa Gado de Leite. |
| |
15. | | PERIPOLLI, E.; OLIVIERI. B. F.; FEITOSA, F. L. B.; LEMOS, M. V. A. de; TONUSSI, R. L.; MUNARI, D. P.; PANETTO, J. C. do C.; MACHADO, M. A.; VENTURA, R. V.; BALDI, F.; SILVA, M. V. G. B. Avaliação dos coeficientes de endogamia em bovinos da raça Gir (Bos primigenius indicus) In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 3 p. Biblioteca(s): Embrapa Gado de Leite. |
| |
16. | | PERIPOLLI, E.; STAFUZZA, N. B.; MUNARI, D. P.; LIMA, A. L. F.; IRGANG, R.; MACHADO, M. A.; PANETTO, J. C. do C.; VENTURA, R. V.; BALDI, F.; SILVA, M. V. G. B. Assessment of runs of homozygosity islands and estimates of genomic inbreeding in Gyr (Bos indicus) dairy cattle. BMC Genomics, v. 19, n. 34, 2018. 13 p. Biblioteca(s): Embrapa Gado de Leite. |
| |
17. | | BUZANSKAS, M. E.; GROSSI, D. A.; VENTURA, R. V.; CHUD, T. C. S.; URBINATI, I.; MEIRELLES, S. L. C.; MOKRY, F. B.; SCHENKEL, F. S.; REGITANO, L. C. de A.; MUNARI, D. P. Genome-wide association study on long-yearling scrotal circumference in Canchim cattle. In:WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings...Vancouver: WCGALP: Amarican Society of Animal Science, 2014. Biblioteca(s): Embrapa Pecuária Sudeste. |
| |
18. | | BUSS, C. E.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; MUDADU, M. de A.; CESAR, A. S. M.; VENTURA, R. V.; AFONSO, J.; LIMA, A. O. de; COUTINHO, L. L.; TULLIO, R. R.; REGITANO, L. C. de A. Genome-wide efficient mixed-model study for meat quality in Nellore cattle. Journal of Animal Science, v. 94, e-suppl. 5; Journal of Dairy Science, v. 99, e-suppl. 1, p. 159, jul. 2016. Biblioteca(s): Embrapa Pecuária Sudeste. |
| |
19. | | BUSS, C. E.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; MUDADU, M. de A.; CESAR, A. S. M.; VENTURA, R. V.; AFONSO, J.; LIMA, A. O. D.; COUTINHO, L. L.; TULLIO, R. R.; REGITANO, L. C. de A. Genome-wide efficient mixed-model study for meat quality in Nellore cattle. Journal of Animal Science, v. 94, p. 428-429, 2016. Supplement 5. Na publicação: M. A. Mudadu. Biblioteca(s): Embrapa Agricultura Digital. |
| |
20. | | OLIVEIRA JÚNIOR, G. A.; CHUD, T. C. S.; VENTURA, R. V.; GARRICK, D. J.; COLE, J. B.; MUNARI, D. P.; FERRAZ, J. B. S.; MULLART, E.; DeNISE, S.; SMITH, S.; SILVA, M. V. G. B. Genotype imputation in a tropical crossbred dairy cattle population. Journal of Dairy Science, v. 100, n. 12, p. 9623-9634, 2017. Biblioteca(s): Embrapa Gado de Leite. |
| |
Registros recuperados : 35 | |
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
16/11/2017 |
Data da última atualização: |
09/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
OLIVEIRA JÚNIOR, G. A.; CHUD, T. C. S.; VENTURA, R. V.; GARRICK, D. J.; COLE, J. B.; MUNARI, D. P.; FERRAZ, J. B. S.; MULLART, E.; DeNISE, S.; SMITH, S.; SILVA, M. V. G. B. |
Afiliação: |
Gerson A. Oliveira Júnior, USP; Tatiane C. S. Chud, UNESP; Ricardo V. Ventura, University of Guelph, Guelph, Canada; Dorian J. Garrick, Iowa State University, Ames; John B. Cole, United States Department of Agriculture, Agricultural Research Service, Maryland, USA; Danísio Prado Munari, UNESP Jaboticabal; José B. S. Ferraz, USP; Erik Mullart, CRV Holding B. V., Arnhem, 454, the Netherlands; SUE DeNISE, Zoetis, Kalamazoo, MI; SHANNON SMITH, Zoetis, Kalamazoo, MI; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. |
Título: |
Genotype imputation in a tropical crossbred dairy cattle population. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Journal of Dairy Science, v. 100, n. 12, p. 9623-9634, 2017. |
DOI: |
https://doi.org/10.3168/jds.2017-12732 |
Idioma: |
Inglês |
Conteúdo: |
The objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was observed between S4 (Gyr + Girolando) and S5 (Holstein + Girolando) because the target animals were more related to the Holstein population than to the Gyr population. The highest imputation accuracies were observed for scenarios including Girolando animals in the reference population, whereas using only Gyr animals resulted in low imputation accuracies, suggesting that the haplotypes segregating in the Girolando population had a greater effect on accuracy than the purebred haplotypes. All chromosomes had similar imputation accuracies (CORRsnp) within each scenario. Crossbred animals (Girolando) must be included in the reference population to provide the best imputation accuracies. MenosThe objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was obse... Mostrar Tudo |
Palavras-Chave: |
Impute. |
Thesaurus NAL: |
genotype; single nucleotide polymorphism. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 03028naa a2200289 a 4500 001 2079937 005 2024-02-09 008 2017 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3168/jds.2017-12732$2DOI 100 1 $aOLIVEIRA JÚNIOR, G. A. 245 $aGenotype imputation in a tropical crossbred dairy cattle population.$h[electronic resource] 260 $c2017 520 $aThe objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was observed between S4 (Gyr + Girolando) and S5 (Holstein + Girolando) because the target animals were more related to the Holstein population than to the Gyr population. The highest imputation accuracies were observed for scenarios including Girolando animals in the reference population, whereas using only Gyr animals resulted in low imputation accuracies, suggesting that the haplotypes segregating in the Girolando population had a greater effect on accuracy than the purebred haplotypes. All chromosomes had similar imputation accuracies (CORRsnp) within each scenario. Crossbred animals (Girolando) must be included in the reference population to provide the best imputation accuracies. 650 $agenotype 650 $asingle nucleotide polymorphism 653 $aImpute 700 1 $aCHUD, T. C. S. 700 1 $aVENTURA, R. V. 700 1 $aGARRICK, D. J. 700 1 $aCOLE, J. B. 700 1 $aMUNARI, D. P. 700 1 $aFERRAZ, J. B. S. 700 1 $aMULLART, E. 700 1 $aDeNISE, S. 700 1 $aSMITH, S. 700 1 $aSILVA, M. V. G. B. 773 $tJournal of Dairy Science$gv. 100, n. 12, p. 9623-9634, 2017.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|