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| Registros recuperados : 222 | |
| 201. |  | GIGLIOTI, R.; OLIVEIRA, H. N. de; SANTANA, C. H.; IBELLI, A. M. G.; NEO, T. A.; BILHASSI, T. B.; RABELO, M. D.; MACHADO, R. Z.; BRITO, L. G.; OLIVEIRA, M. C. de S. Babesia bovis and Babesia bigemina infection levels estimated by qPCR in Angus cattle from an endemic area of São Paulo state, Brazil. Ticks and Tick-borne Diseases, v. 7, n. 5, p. 657-662, jul. 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 202. | | PAÇÓ, A. N.; BERALDO, M. C. D.; RIBEIRO, A. B. R.; IBELLI, A. M. G.; GIGLIOTI, R.; CHAGAS, A. C. de S.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. de. Avaliação de comportamento entre matrizes de ovinos de dois grupos genéticos no sistema de regime de pastagem. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 3., 2011, São Carlos. Anais... São Carlos: Embrapa Pecuária Sudeste: Embrapa Instrumentação, 2011| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 203. | | MARTINS, M. D. R.; GOMES, H. C. S. F.; VELTRONI, Y. K.; SILVA, P. C.; TONELLI, M. F.; OLIVEIRA, H. N. DE; OKINO, C. H.; OLIVEIRA, M. C. de S. Avaliação dos níveis de infecção por Babesia bigemina em amostras de sangue de bezerros usando qPCR com sistema de sondas de hidrólise. In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 12., 2020, São Carlos, SP. Anais... São Carlos, SP: Embrapa Instrumentação; Embrapa Pecuária Sudeste, 2020. p.24. (Embrapa Instrumentação. Documentos, 71).| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 204. | | CHAGAS, A. C. de S.; OLIVEIRA, M. C. de S.; ESTEVES, S. N.; OLIVEIRA, H. N. DE; GIGLIOTI, R.; GIGLIOTI, C.; CARVALHO, C. DE O.; FERREZINI, J.; SCHIAVONE, D. C. Parasitismo por nematóides gastrintestinais em matrizes e cordeiros criados em São Carlos, São Paulo. Revista Brasileira de Parasitologia Veterinária, v. 17, Supl. 1, p. 126-132, 2008.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 205. | | SILVA, P. C.; MARTINS, M. D. R.; TONELLI, M. F.; GOMES, H. C. S. F.; OLIVEIRA, H. N. DE; VELTRONI, Y. K.; SIMAS, P. V.; BASSETTO, C. C.; GIGLIOTI, R.; OLIVEIRA, M. C. de S.; OKINO, C. H. Perfis de anticorpos sistêmicos dos isótipos IgG e IgM anti-Babesia bovis e anti-Babesia bigemina em bezerros da raça Canchim do nascimento até 12 meses de idade. In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 12., 2020, São Carlos, SP. Anais... São Carlos, SP: Embrapa Instrumentação; Embrapa Pecuária Sudeste, 2020. p.28. (Embrapa Instrumentação. Documentos, 71).| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 206. | | CURI, R. A.; KRAUSKOPF, M. K.; HADLICH, J. C.; FORTES, M. R. S.; VANKAN, D. M.; SILVA, J. A. V.; OLIVEIRA, H. N. de; MOTA, M. D. S. da. Candidate SNPs for carcass and meat traits in Nelore animals and in their crosses with Bos taurus. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 2, p. 294-302, fev. 2012. Título em português: SNPs candidatos para características da carcaça e da carne em Nelore e nos seus cruzamentos com Bos taurus.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 207. | | ARRIGONI, M. D. B.; ALVES JÚNIOR, A.; DIAS, P. M. A.; MARTINS, C. L.; CERVIERI, R. da C.; SILVEIRA, A. C.; OLIVEIRA, H. N. de; CHARDULO, L. A. L. Desempenho, fibras musculares e carne de bovinos jovens de três grupos genéticos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 39, n. 10, p. 1033-1039, out. 2004 Título em inglês: Performance, muscle fibers and meat traits of young bulls of three genetic groups.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 208. | | DAVID, G.; ARCE, C. D. DA S.; ARAUJO NETO, F. R. DE; ALBUQUERQUE, L. G. DE; GIGLIOTI, R.; OKINO, C. H.; REGITANO, L. C. de A.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. DE. Estimation of genetic parameters for the tick and hemoparasite burden in Angus cattle. Tropical Animal Health and Production, v. 55, n. 302, 2023. 5 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 209. | | NEO, T. A.; GIGLIOTI, R.; OBREGON, D.; BILHASSI, T. B.; OLIVEIRA, H. N. de; MACHADO, R. Z.; ANIBAL, F. de F.; BRITO, L. G.; MALAGO JUNIOR, W.; DONATONI, F. A. B.; OLIVEIRA, M. C. de S. Detection of Babesia bovis and Babesia bigemina in water buffaloes (Bubalus bubalis) in endemic areas of São Paulo state, Brazil. Open Journal of Veterinary Medicine, v. 6, n. 5, p. 75-84, maio 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 210. | | 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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| 211. | | 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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| 212. | | SILVEIRA, L. G. G.; FURLAN, L. R.; CURI, R. A.; FERRAZ, A. L. J.; ALENCAR, M. M. de; REGITANO, L. C. de A.; MARTINS, C. L.; ARRIGONI, M. de B.; SUGUISAWA, L.; SILVEIRA, A. C.; OLIVEIRA, H. N. de. Growth hormone 1 gene (GH1) polymorphisms as possible markers of the production potential of beef cattle using the Brazilian Canchim breed as a model. Genetics and Molecular Biology, v. 31, n. 4, p. 874-879, 2008| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 213. | | CURI, R. A.; FORTES, M. R. S.; CHARDULO, L. A. L.; SILVEIRA, A. C.; DE BENI ARRIGONE, M.; MARTINS, C. L.; ASSUMPÇÃO, M. E. O. D'A.; OLIVEIRA, H. N. de. Genetic polymorphisms related to meat traits in purebred and crossbred Nelore cattle. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 12, p. 1660-1666, dez. 2009 Título em português: Polimorfi smos genéticos relacionados às características da carne em bovinos Nelore puros e cruzados.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 214. | | 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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| 215. | | 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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| 216. | | GIGLIOTI, R.; OKINO, C. H.; AZEVEDO, B. T.; WEDY, B. C. R.; GUTMANIS, G.; VERÍSSIMO, C. J.; KATIKI, L. M.; VERCESI FILHO, A. E.; OLIVEIRA, H. N. DE; OLIVEIRA, M. C. de S. Semi-quantitative evaluation of Babesia bovis and B. bigemina infection levels estimated by HRM analysis. Ticks and Tick-borne Diseases, v.12, n.5, 101753, sep. 2021. 6 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 217. | | AZEVEDO, B. T.; OLIVEIRA, H. N. DE; KATIKI, L. M.; VERCESI FILHO, A. E.; DOMINGOS, A. G.; ANTUNES, S.; OKINO, C. H.; OLIVEIRA, M. C. de S.; IBELLI, A. M. G.; GIGLIOTI, R. A small proportion of Zebu genetic background in crossbred calves may not be enough to improve resistance against natural bovine Babesia spp. infections. Veterinary Parasitology, v. 328, 2024, 110165. 7 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 218. | | BORGES, B. O.; CURI, R. A.; BALDI, F.; FEITOSA, F. L. B.; ANDRADE, W. B. F. de; ALBUQUERQUE, L. G. de; OLIVEIRA, H. N. de; CHARDULO, L. A. L. Polymorphisms in candidate genes and their association with carcass traits and meat quality in Nellore cattle. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 5, p. 364-371, maio. 2014. Título em português: Polimorfismos em genes-candidatos e suas associações com características de carcaça e qualidade da carne em bovinos Nelore.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 219. | | PEREIRA, F. F.; CARDOSO, C. R. G.; LUCCHETTA, J. T.; OLIVEIRA, H. N. de; SANTOS, J. P.; RAMOS, L. N.; ALENCAR, M. X.; VEIGA, V. C.; LEITE, M. K.; MENDES, J. P. Protocolo de produção de eulofídeos para controle biológico de lepidópteros desfolhadores em plantios de eucalipto. In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 16., 2019, Londrina. Controle biológico: da academia ao campo, rumo à sustentabilidade: anais. Londrina: Sociedade Entomológica do Brasil, 2019. p. 228| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 220. | | GIGLIOTI, R.; OLIVEIRA, H. N. de; GUTMANIS, G.; LUCIANI, G. F.; AZEVEDO, B. T.; FIORIN, C. F. de C.; ANDRADE, M. F. de; SILVA, M. A. F.; VERCESI FILHO, A. E.; KATIKI, L. M.; OKINO, C. H.; OLIVEIRA, M. C. de S.; VERÍSSIMO, C. J. Correlations and repeatability between Babesia spp. infection levels using two dairy cattle breeding systems. Experimental and Applied Acarology, v. 81, p. 599-607, jul. 2020.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 222 | |
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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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