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| Registros recuperados : 20 | |
| 1. |  | SILVA, H. T.; COSTA, C. N.; LOPES, P. S.; VERONEZE, R.; SILVA, F. F. e. Parâmetros genéticos para Stayabilityem bovinos da raça holandesa no Brasil. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 14., 2021, Santa Catarina. Passado, presente e futuro: anais. Santa Catarina: Sociedade Brasileira de Melhoramento Animal, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 2. | | CARRARA, E. R.; LOPES, P. S.; VERONEZE, R.; PEREIRA, R. J.; ZADRA, L. E. F.; PEIXOTO, M. G. C. D. Assessment of runs of homozygosity, heterozygosity-rich regions and genomic inbreeding estimates in a subpopulation of Guzerá (Bos indicus) dual-purpose cattle. Journal of Animal Breeding and Genetics, v. 141, n. 2, p. 207-219, 2024.| Biblioteca(s): Embrapa Gado de Leite. |
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| 3. | | VERNEQUE, R. da S.; VERONEZE, R.; PANETTO, J. C. do C.; SILVA, M. V. G. B.; TORAL, F. L. B. A contribuição do melhoramento animal para a pecuária de leite. In: VILELA, D.; FERREIRA, R. de P.; FERNANDES, E. N.; JUNTOLLI, F. V. (Ed.). Pecuária de leite no Brasil: cenários e avanços tecnológicos. Brasília, DF: Embrapa, 2016. p. 255-264.| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | DIANA, T. F.; CALDERANO, A. A.; ROSTAGNO, H. S.; MARQUES, M. R. de L.; TAVERNARI, F. de C.; VERONEZE, R.; ALBINO, L. F. T. Apparent calcium retention and digestibility coefficients of limestone with different particle sizes in laying hens. Scientia Agricola, v. 80, n. e20210258, 2023.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 5. | | SILVA, H. T.; LOPES, P. S.; CARVALHEIRA, J.; SILVA, D. A.; SILVA, A. A.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; COSTA, C. N. Autoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle. Reproduction in Domestic Animals, v. 56, n. 3, p. 391-399, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | SILVA, D. A.; COSTA, C. N.; SILVA, A. A.; SILVA, H. T.; LOPES, P. S.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; AGUILAR, I.; CARVALHEIRA, J. Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. Journal of Animal Breeding and Genetics, v. 137, n. 3, p. 305-315, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | SILVA, H. T.; LOPES, P. S.; COSTA, C. N.; SILVA, A. A.; SILVA, D. A.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. Autoregressive single-step model for genomic evaluation of longitudinal reproductive traits in portuguese holstein cattle. Journal of Animal Breeding and Genetics, v. 138, n. 3, p. 349-359, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SILVA, A. A.; SILVA, D. A.; LOPES, P. S.; SILVA, H. T.; VERONEZE, R.; THOMPSON, G.; COSTA, C. N.; CARVALHEIRA, J. SNP substitution effects for SCS changes across environmental gradients in Portuguese dairy cattle. In: ANNUAL MEETING OF THE EUROPEAN FEDERATION OF ANIMAL SCIENCE, 73., 2022, Porto. Book of abstracts... Rome: European Federation of Animal Science, 2022. p. 136.| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | SILVA, A. A.; SILVA, D. A.; SILVA, F. F.; COSTA, C. N.; SILVA, H. T.; LOPES, P. S.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. GWAS and gene networks for milk-related traits from test-day multiple lactations in Portuguese Holstein cattle. Journal of Applied Genetics, v. 61, p. 465-476, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | SILVA, A. A.; SILVA, D. A.; LOPES, P. S.; SILVA, H. T.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J.; COSTA, C. N. Genomic predictions including unknown parent groups for milk traits in Portuguese Holstein cattle. In: ANNUAL MEETING OF THE EUROPEAN FEDERATION OF ANIMAL SCIENCE, 73., 2022, Porto. Book of abstracts... Rome: European Federation of Animal Science, 2022. p. 135.| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | SILVA, D. A.; LOPES, P. S.; COSTA, C. N.; SILVA, A. A.; SILVA, H. T.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. Genotype by environment interaction for Holstein cattle populations using autoregressive and within- and across-countrymulti-trait reaction norms test-day models. Animal, v. 15, 100084, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | SILVA, A. A.; SILVA, F. F.; SILVA, D. A.; SILVA, H. T.; COSTA, C. N.; LOPES, P. S.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. Genotype imputation strategies for Portuguese Holstein cattle using different SNP panels. Czech Journal of Animal Science, v. 64, n. 9, p. 377-386, 2019.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | SOARES, T. L. da S.; SANTOS, F. L. C.; PEIXOTO, M. G. C. D.; CARRARA, E. R.; BRUNELI, F. A. T.; VERONEZE, R.; LOPES, P. S. A interação genótipo-ambiente já afeta características leiteiras e idade ao primeiro parto em animais Guzerá. Revista Guzerate, ano 2, n. 2, p. 66-70, maio 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 14. | | COSTA, E. V.; DINIZ, D. B.; VERONEZE, R.; RESENDE, M. D. V. de; AZEVEDO, C. F.; GUIMARÃES, S. E. F.; SILVA, F. F.; LOPES, P. S. Estimating additive and dominance variances for complex traits in pigs combining genomic and pedigree information. Genetics and Molecular Research, v. 14, n. 2, p. 6303-6311, June 2015.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | CARRARA, E. R.; LOPES, P. S.; REIS, A. C. Z.; SILVA, J. X.; DIAS, L. C. de C. M.; SCHULTZ, E. B.; MARQUES, D. B. D.; SILVA, D. A. da; VERONEZE, R.; ANDRADE, R. G.; PEIXOTO, M. G. C. D. NASA POWER satellite meteorological system is a good tool for obtaining estimates of the temperature-humidity index under Brazilian conditions compared to INMET weather stations data. International Journal of Biometeorology, v. 67, n. 7, p. 1273-1277, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | ROCHA, R. de F. B.; OTTO, P. I.; SILVA, M. V. G. B.; MARTINS, M. F.; MACHADO, M. A.; VERONEZE, R.; LEANDRO, F. D.; PEREIRA, S. M.; GUIMARÃES, S. E. F.; PANETTO, J. C. do C. Repeatability and random regression models to estimate genetic parameters for oocyte and embryo production in the Gir breed. Animal Production Science, v. 62, n. 17, p. 1661-1670, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | DUARTE, D. A. S.; FORTES, M. R. S.; DUARTE, M. de S.; GUIMARÃES, S. E. F.; VERARDO, L. L.; VERONEZE, R.; RIBEIRO, A. M. F.; LOPES, P. S.; RESENDE, M. D. V. de; SILVA, F. F. e. Genome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs. Animal Production Science, v. 58, n. 6, p. 1100-1008, May 2018.| Biblioteca(s): Embrapa Florestas. |
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| 18. | | CARRARA, E. R.; PEIXOTO, M. G. C. D.; SILVA, A. A. da; BRUNELI, F. A. T.; VENTURA, H. T.; ZADRA, L. E. F.; JOSAHKIAN, L. A.; VERONEZE, R.; LOPES, P. S. Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits. Tropical Animal Health and Production, v. 55, article 48, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | CARRARA, E. R.; PEIXOTO, M. G. C. D.; VERONEZE, R.; SILVA, F. F. e; RAMOS, P. V. B.; BRUNELI, F. A. T.; ZADRA, L. E. F.; VENTURA, H. T.; JOSAHKIAN, L. A.; LOPES, P. S. Genetic study of quantitative traits supports the use of Guzerá as dual-purpose cattle. Animal Bioscience, v. 35, n. 7, p. 955-963, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | OTTO, P. I.; GUIMARÃES, S. E. F.; VERARDO, L. L.; AZEVEDO, A. L. S.; VANDENPLAS, J.; SOARES, A. C. C.; SEVILLANO, C. A.; VERONEZE R; PIRES, M. de F. A.; FREITAS, C. de; PRATA, M. C. de A.; FURLONG, J.; VERNEQUE, R. da S.; MARTINS, M. F.; PANETTO, J. C. do C.; CARVALHO, W. A.; GOBO, D. O. R.; SILVA, M. V. G. B.; MACHADO, M. A. Genome-wide association studies for tick resistance in Bos taurus × Bos indicus crossbred cattle: A deeper look into this intricate mechanism. Journal of Dairy Science, v. 101, n. 12, p. 11020-11032, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 20 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
29/12/2019 |
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Data da última atualização: |
06/02/2024 |
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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: |
SILVA, A. A.; SILVA, F. F.; SILVA, D. A.; SILVA, H. T.; COSTA, C. N.; LOPES, P. S.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. |
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Afiliação: |
ALESSANDRA ALVES SILVA; FABYANO FONSECA SILVA; DELVAN ALVES SILVA; HUGO TEIXEIRA SILVA; CLAUDIO NAPOLIS COSTA, CNPGL; PAULO SÁVIO LOPES; RENATA VERONEZE; GERTRUDE THOMPSON; JULIO CARVALHEIRA. |
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Título: |
Genotype imputation strategies for Portuguese Holstein cattle using different SNP panels. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Czech Journal of Animal Science, v. 64, n. 9, p. 377-386, 2019. |
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DOI: |
https://doi.org/10.17221/120/2019-CJAS |
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Idioma: |
Inglês |
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Conteúdo: |
Although several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be directly applied to small populations, since the population structure affects imputation accuracy. In addition, factors affecting imputation accuracy may also be intensified in small populations. Therefore, we aimed to compare different imputation strate-gies for the Portuguese Holstein cattle population considering several commercially available single nucleotide poly-morphism (SNP) panels in a relatively small number of genotyped animals. Data from 1359 genotyped animals were used to evaluate imputation in 7 different scenarios. In the S1 to S6 scenarios, imputations were performed from LDv1, 50Kv1, 57K, 77K, HDv3 and Ax58K panels to 50Kv2 panel. In these scenarios, the bulls in 50Kv2 were divided into reference (352) and validation (101) populations based on the year of birth. In the S7 scenario, the validation population consisted of 566 cows genotyped with the Ax58K panel with theirgenotypes masked to LDv1. In general, all sample imputation accuracies were high with correlations ranging from 0.94 to 0.99 and concordance rate rang-ing from 92.59 to 98.18%. SNP-specific accuracy was consistent with that of sample imputation. S4 (40.32% of SNPs imputed) had higher accuracy than S2 and S3, both with less than 7.59% of SNPs imputed. Most probably, this was due to the high number of imputed SNPs with minor allele frequency (MAF) < 0.05 in S2 and S3 (by 18.43% and 16.06% higher than in S4, respectively). Therefore, for these two scenarios, MAF was more relevant than the panel density. These results suggest that genotype imputation using several commercially available SNP panels is feasible for the Portuguese national genomic evaluation. MenosAlthough several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be directly applied to small populations, since the population structure affects imputation accuracy. In addition, factors affecting imputation accuracy may also be intensified in small populations. Therefore, we aimed to compare different imputation strate-gies for the Portuguese Holstein cattle population considering several commercially available single nucleotide poly-morphism (SNP) panels in a relatively small number of genotyped animals. Data from 1359 genotyped animals were used to evaluate imputation in 7 different scenarios. In the S1 to S6 scenarios, imputations were performed from LDv1, 50Kv1, 57K, 77K, HDv3 and Ax58K panels to 50Kv2 panel. In these scenarios, the bulls in 50Kv2 were divided into reference (352) and validation (101) populations based on the year of birth. In the S7 scenario, the validation population consisted of 566 cows genotyped with the Ax58K panel with theirgenotypes masked to LDv1. In general, all sample imputation accuracies were high with correlations ranging from 0.94 to 0.99 and concordance rate rang-ing from 92.59 to 98.18%. SNP-specific accuracy was consistent with that of sample imputation. S4 (40.32% of SNPs imputed) had higher accuracy than S2 and S3, both with less than 7.59% of SNPs imputed. Most probably, this was due to the high number of... Mostrar Tudo |
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Palavras-Chave: |
Genomic evaluation; Imputation accuracy. |
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Thesaurus NAL: |
Dairy cattle. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207907/1/120-2019-CJAS.pdf
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Marc: |
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001 2117818
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024 7 $ahttps://doi.org/10.17221/120/2019-CJAS$2DOI
100 1 $aSILVA, A. A.
245 $aGenotype imputation strategies for Portuguese Holstein cattle using different SNP panels.$h[electronic resource]
260 $c2019
520 $aAlthough several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be directly applied to small populations, since the population structure affects imputation accuracy. In addition, factors affecting imputation accuracy may also be intensified in small populations. Therefore, we aimed to compare different imputation strate-gies for the Portuguese Holstein cattle population considering several commercially available single nucleotide poly-morphism (SNP) panels in a relatively small number of genotyped animals. Data from 1359 genotyped animals were used to evaluate imputation in 7 different scenarios. In the S1 to S6 scenarios, imputations were performed from LDv1, 50Kv1, 57K, 77K, HDv3 and Ax58K panels to 50Kv2 panel. In these scenarios, the bulls in 50Kv2 were divided into reference (352) and validation (101) populations based on the year of birth. In the S7 scenario, the validation population consisted of 566 cows genotyped with the Ax58K panel with theirgenotypes masked to LDv1. In general, all sample imputation accuracies were high with correlations ranging from 0.94 to 0.99 and concordance rate rang-ing from 92.59 to 98.18%. SNP-specific accuracy was consistent with that of sample imputation. S4 (40.32% of SNPs imputed) had higher accuracy than S2 and S3, both with less than 7.59% of SNPs imputed. Most probably, this was due to the high number of imputed SNPs with minor allele frequency (MAF) < 0.05 in S2 and S3 (by 18.43% and 16.06% higher than in S4, respectively). Therefore, for these two scenarios, MAF was more relevant than the panel density. These results suggest that genotype imputation using several commercially available SNP panels is feasible for the Portuguese national genomic evaluation.
650 $aDairy cattle
653 $aGenomic evaluation
653 $aImputation accuracy
700 1 $aSILVA, F. F.
700 1 $aSILVA, D. A.
700 1 $aSILVA, H. T.
700 1 $aCOSTA, C. N.
700 1 $aLOPES, P. S.
700 1 $aVERONEZE, R.
700 1 $aTHOMPSON, G.
700 1 $aCARVALHEIRA, J.
773 $tCzech Journal of Animal Science$gv. 64, n. 9, p. 377-386, 2019.
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Embrapa Gado de Leite (CNPGL) |
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