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| Registros recuperados : 108 | |
| 81. |  | CAMPOS, G. S.; CARDOSO, F. F.; GULIAS GOMES, C. C.; DOMINGUES, R.; REGITANO, L. C. de A.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. DE; CARVALHEIRO, R.; ALBUQUERQUE, L. G.; MILLER, S.; MISTZAL, I.; LOURENCO, D. Development of genomic predictions for Angus cattle in Brazil incorporating genotypes from related american sires. Journal of Animal Science, v. 100, n. 2, p. 1-13, Feb. 2022. skac009.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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| 82. | | MORÉ, D. D.; CARDOSO, F. F.; MUDADU, M. de A.; MALAGO JUNIOR, W.; GULIAS GOMES, C. C.; SOLLERO, B. P.; IBELLI, A. M. G.; COUTINHO, L. L.; REGITANO, L. C. de A. Network analysis uncovers putative genes affecting resistance to tick infestation in Braford cattle skin. BMC Genomics, v. 20, n. 998, 2019.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Suínos e Aves. |
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| 83. | | CARDOSO, F. F.; MATIKA, O.; DJIKENG, A.; MAPHOLI, N.; BURROW, H. M.; YOKOO, M. J. I.; CAMPOS, G. S.; GULIAS GOMES, C. C.; RIGGIO, V.; PONG-WONG, R.; ENGLE, B.; PORTO-NETO, L.; MAIWASHE, A.; HAYES, B. J. Multiple country and breed genomic prediction of tick resistance in beef cattle. Frontiers in Immunology, v. 12, 620847, June 2021.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 84. | | CARDOSO, F. F.; GULIAS-GOMES, C. C.; OLIVEIRA, M. M.; ROSO, V. M.; PICCOLI, M. L.; BRITO, F. V.; HIGA, R. H.; PAIVA, S. R.; SILVA, M. V. G. B.; REGITANO, L. C. de A.; YOKOO, M. J. I. Genomic selection for tick resistance in Braford and Hereford cattle using single-step methodology. In: CONFERENCE OF THE INTERNATIONAL SOCIETY FOR ANIMAL GENETICS, 33., 2012, Cairns. Programme and abstract book... Cairns: ISAG, 2012. p. 97-98.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 85. | | CAVANI, L.; BRAZ, C. U.; GIGLIOTI, R.; OKINO, C. H.; GULIAS GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; OLIVEIRA, H. N. de. Genomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle. Frontiers in Immunology, v. 11, article 1905, aug. 2020. 11 p.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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| 86. | | MORÉ, D. D.; MALAGO JUNIOR, W.; MUDADU, M. de A.; ZERLOTINI NETO, A.; GULIAS-GOMES, C. C.; IBELLI, A. M. G.; CATOIA, V.; CARDOSO, F. F.; REGITANO, L. C. de A. Genetics mechanisms of resistance and response to tick infestation in Hereford cattle: a global view. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[ s.n.], 2013. AB.59.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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| 87. | | CAVANI, L.; LOPES, F. B.; GIGLIOTID, R.; BRESOLIN, T.; CAMPOS, G. S.; OKINO, C. H.; GULIAS-GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; ROSA, G. J. de M.; OLIVEIRA, H. N. de. Inferring phenotypic causal networks for tick infestation, Babesia bovis infection, and weight gain in Hereford and Braford cattle using structural equation models. Livestock Science, v. 238, 2020.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 88. | | CAVANI, L.; LOPES, F. B.; GIGLIOTI, R.; BRESOLIN, T.; CAMPOS, G. S.; OKINO, C. H.; GULIAS-GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; ROSA, G. J. de M.; OLIVEIRA, H. N. de. Inferring phenotypic causal networks for tick infestation, Babesia bovis infection, and weight gain in Hereford and Braford cattle using structural equation models. Livestock Science, v. 238, aug. 2020, 104032. 8 p.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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| 89. | | CARDOSO, F. F.; REIMANN, F. A.; YOKOO, M. J. I.; GULIAS GOMES, C. C.; SOLLERO, B. P.; CAMPOS, G. S.; ROSO, V. M.; BRITO, F. V.; CAETANO, A. R. Selección genómica para mejorar la adaptación tropical de la raza Hereford. Anuario Hereford, Montevideo, p. 146-152, 2017. Também publicada em português no VI Congreso da Asociación Uruguaya de Producción Animal, março de 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 90. | | CAVANI, L.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; SILVA, N. M. A. da; GIGLIOTI, R.; OKINO, C. H.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. Quantificação e estimativas de parâmetros genéticos de níveis de infecção de Babesia bovis em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 1 CD-ROM. SBMA.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 91. | | CAVANI, L.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; SILVA, N. M. A. da; GIGLIOTI, R.; OKINO, C. H.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. Quantificação e estimativas de parâmetros genéticos de níveis de infecção de Babesia bovis em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 1 CD-ROM. SBMA.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 92. | | CAVANI, L.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; SILVA, N. M. A. da; GIGLIOTI, R.; OKINO, C. H.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. Quantificação e estimativas de parâmetros genéticos de níveis de infecção de Babesia bovis em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 1 CD-ROM. SBMA.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 93. | | CAMPOS, G. S.; REIMANN, F. A.; JUNQUEIRA, V. S.; BRACCINI, J.; CARDOSO, L. L.; YOKOO, M. J. I.; SOLLERO, B. P.; GULIAS GOMES, C. C.; BOLIGON, A. A.; CAETANO, A. R.; CARDOSO, F. F. Tag-SNP selection using Bayesian genome-wide association study for growth and adaptation traits in Hereford and Braford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 94. | | CAMPOS, G. S.; REIMANN, F. A.; JUNQUEIRA, V. S.; BRACCINI, J.; CARDOSO, L. L.; YOKOO, M. J. I.; SOLLERO, B. P.; GULIAS GOMES, C. C.; BOLIGON, A. A.; CAETANO, A. R.; CARDOSO, F. F. Tag-SNP selection using Bayesian genome-wide association study for growth and adaptation traits in Hereford and Braford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 95. | | YOKOO, M. J. I.; LEAL, J. J. B.; CARDOSO, F. F.; CARDOSO, L. L.; CARVALHO, H. G. de; GASPAR, E. B.; BENAVIDES, M. V.; GULIAS GOMES, C. C.; DOMINGUES, R. Sumário genômico para características de difícil mensuração de animais da raça Brangus : setembro de 2022. 2. ed. Bagé: Embrapa Pecuária Sul, 2022. 49 p. (Embrapa Pecuária Sul. Documentos, 169). ODS 2.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 96. | | CARDOSO, F. F.; GULIAS-GOMES, C. C.; OLIVEIRA, M. M.; ROSO, V. M.; PICCOLI, M. L.; BRITO, F. V.; HIGA, R. H.; PAIVA, S. R.; SILVA, M. V. G. B.; REGITANO, L. C. de A.; YOKOO, M. J.; CAETANO, A. R.; MISZTAL, I.; AGUILAR, I. Genomic selection for tick resistance in Braford and Hereford cattle using single-step methodology. In: CONFERENCE OF INTERNATIONAL SOCIETY FOR ANIMAL GENETICS, 33., 2012, Cairns. Programme and abstract book. Cairns: ISAG, 2012. p. 97-98. 1 CD-ROM. ISAG, 2012.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 97. | | CARDOSO, F. F.; GULIAS-GOMES, C. C.; OLIVEIRA, M. M.; ROSO, V. M.; PICCOLI, M. L.; BRITO, F. V.; HIGA, R. H.; PAIVA, S. R.; SILVA, M. V. G. B.; REGITANO, L. C. de A.; YOKOO, M. J.; CAETANO, A. R.; MISZTAL, I.; AGUILAR, I. Genomic selection for tick resistance in Braford and Hereford cattle using single-step methodology. In: CONFERENCE OF INTERNATIONAL SOCIETY FOR ANIMAL GENETICS, 33., 2012, Cairns, AU. Abstracts... Cairns: ISAG, 2012. p. 97-98. ISAG, 2012.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 98. | | CARDOSO, F. F.; GULIAS-GOMES, C. C.; OLIVEIRA, M. M.; ROSO, V. M.; PICCOLI, M. L.; BRITO, F. V.; HIGA, R. H.; PAIVA, S. R.; SILVA, M. V. G. B.; REGITANO, L. C. de A.; YOKOO, M. J. I.; CAETANO, A. R.; MISZTAL, I.; AGUILAR, I. Genomic select for tick resistance in Bradford and Hereford cattle using single-step methodology. In: CONFERENCE OF THE INTERNATIONAL SOCIETY FOR ANIMAL GENETICS, 33., 2012, Cairns. Programme and abstract book... Cairns: ISAG, 2012.| Biblioteca(s): Embrapa Gado de Leite. |
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| 99. | | ROMERO, A. R. da S.; NASCIMENTO, A. V. do; OLIVEIRA, M. C. de S.; OKINO, C. H.; BRAZ, C. U.; SCALEZ, D. C. B.; CARDOSO, D. F.; CARDOSO, F. F.; GULIAS GOMES, C. C.; CAETANO, A. R.; TONHATI, H.; GONDRO, C.; OLIVEIRA, H. N. de. Genetic parameters and multi-trait genomic prediction for hemoparasites infection levels in cattle. Livestock Science, v. 273, 2023. 105259. 7 p.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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| 100. | | CARDOSO, F. F.; GULIAS-GOMES, C. C.; OLIVEIRA, M. M. de; YOKOO, M. J. I.; ROSO, V. M.; PICCOLI, M. L.; BRITO, F. V.; HIGA, R. H.; PAIVA, S. R.; SILVA, M. V. G. B da; REGITANO, L. C. de A.; CAETANO, A. R.; AGUILAR, I. Seleção genômica para resistência ao carrapato nas raças Hereford e Braford. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 23., 2013, Foz do Iguaçu. Zootecnia do futuro: produção animal sustentável. Foz do Iguaçu: ABZ: Unioeste: UTFPR, 2013. p. 4980-4986. ZOOTEC 2013.| Biblioteca(s): Embrapa Pecuária Sul. |
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| Registros recuperados : 108 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
17/11/2020 |
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Data da última atualização: |
17/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CAVANI, L.; BRAZ, C. U.; GIGLIOTI, R.; OKINO, C. H.; GULIAS GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; OLIVEIRA, H. N. de. |
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Afiliação: |
LIGIA CAVANI, UNESP; CAMILA URBANO BRAZ, UNESP; RODRIGO GIGLIOTI, Instituto de Zootecnia; CINTIA HIROMI OKINO, CPPSE; CLAUDIA CRISTINA GULIAS GOMES, CPPSUL; ALEXANDRE RODRIGUES CAETANO, Cenargen; MARCIA CRISTINA DE SENA OLIVEIRA, CPPSE; FERNANDO FLORES CARDOSO, CPPSUL; HENRIQUE NUNES DE OLIVEIRA, UNESP. |
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Título: |
Genomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Frontiers in Immunology, v. 11, article 1905, aug. 2020. |
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Páginas: |
11 p. |
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DOI: |
https://doi.org/10.3389/fimmu.2020.01905 |
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Idioma: |
Inglês |
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Conteúdo: |
Bovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, estimated by the Bayesian animal model in a bivariate analysis, was low (0.10), and the estimations of genetic correlation between IB and TC were also low (0.15). The cross-validation genomic prediction accuracy for IB ranged from 0.18 to 0.35 and from 0.29 to 0.32 using k-means and random clustering, respectively, suggesting that genomic predictions could be used as a tool to improve genetics for IB, especially if a larger training population is developed. The top 10 single nucleotide polymorphisms from the GWAS explained 5.04% of total genetic variance for IB, which were located on chromosomes 1, 2, 5, 6, 12, 17, 18, 16, 24, and 26. Some candidate genes participate in immunity system pathways indicating that those genes are involved in resistance to B. bovis in cattle. Although the genetic correlation between IB and TC was weak, some candidate genes for IB were also reported in tick infestation studies, and they were also involved in biological resistance processes. This study contributes to improving genetic knowledge regarding infection by B. bovis in cattle. MenosBovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, e... Mostrar Tudo |
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Palavras-Chave: |
Bovine babesiosis; Cross validation; Genetic parameters; Genome wide association studies; Genomic selection. |
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Thesagro: |
Babesia Bovis. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217858/1/GenomicStudyBabesia.pdf
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Marc: |
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024 7 $ahttps://doi.org/10.3389/fimmu.2020.01905$2DOI
100 1 $aCAVANI, L.
245 $aGenomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle.$h[electronic resource]
260 $c2020
300 $a11 p.
520 $aBovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, estimated by the Bayesian animal model in a bivariate analysis, was low (0.10), and the estimations of genetic correlation between IB and TC were also low (0.15). The cross-validation genomic prediction accuracy for IB ranged from 0.18 to 0.35 and from 0.29 to 0.32 using k-means and random clustering, respectively, suggesting that genomic predictions could be used as a tool to improve genetics for IB, especially if a larger training population is developed. The top 10 single nucleotide polymorphisms from the GWAS explained 5.04% of total genetic variance for IB, which were located on chromosomes 1, 2, 5, 6, 12, 17, 18, 16, 24, and 26. Some candidate genes participate in immunity system pathways indicating that those genes are involved in resistance to B. bovis in cattle. Although the genetic correlation between IB and TC was weak, some candidate genes for IB were also reported in tick infestation studies, and they were also involved in biological resistance processes. This study contributes to improving genetic knowledge regarding infection by B. bovis in cattle.
650 $aBabesia Bovis
653 $aBovine babesiosis
653 $aCross validation
653 $aGenetic parameters
653 $aGenome wide association studies
653 $aGenomic selection
700 1 $aBRAZ, C. U.
700 1 $aGIGLIOTI, R.
700 1 $aOKINO, C. H.
700 1 $aGULIAS GOMES, C. C.
700 1 $aCAETANO, A. R.
700 1 $aOLIVEIRA, M. C. de S.
700 1 $aCARDOSO, F. F.
700 1 $aOLIVEIRA, H. N. de
773 $tFrontiers in Immunology$gv. 11, article 1905, aug. 2020.
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Embrapa Pecuária Sudeste (CPPSE) |
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