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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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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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Data corrente: |
17/11/2020 |
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Data da última atualização: |
18/11/2020 |
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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: |
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. |
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Afiliação: |
LIGIA CAVANI, UNESP; FERNANDO BRITO LOPES, UNIVERSITY OF WISCONSIN-MADISON, USA; RODRIGO GIGLIOTI, INSTITUTO DE ZOOTECNIA; TIAGO BRESOLIN, UNESP; GABRIEL SOARES CAMPOS, UFRGS; CINTIA HIROMI OKINO, CPPSE; CLAUDIA CRISTINA GULIAS GOMES, CPPSUL; ALEXANDRE RODRIGUES CAETANO, Cenargen; MARCIA CRISTINA DE SENA OLIVEIRA, CPPSE; FERNANDO FLORES CARDOSO, CPPSUL; GUILHERME JORDÃO DE MAGALHÃES ROSA, UNIVERSITY OF WISCONSIN MADISON, USA; HENRIQUE NUNES DE OLIVEIRA, Unesp. |
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Título: |
Inferring phenotypic causal networks for tick infestation, Babesia bovis infection, and weight gain in Hereford and Braford cattle using structural equation models. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Livestock Science, v. 238, aug. 2020, 104032. |
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Páginas: |
8 p. |
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DOI: |
https://doi.org/10.1016/j.livsci.2020.104032 |
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Idioma: |
Inglês |
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Conteúdo: |
Tick infestation and associated diseases (i.e., babesiosis) constitute major drawbacks for improvement of beef cattle productivity in the tropics, mainly when purebred and crossbred taurine animals are used. Host-parasitepathogen interactions form complex biological systems that are poorly understood and which significantly affect production and quality traits in ways yet to be dissected and described. This research was carried out to investigate potential causal relationships, through the use of structural equation modeling (SEM), among tick counts (TC), Babesia bovis infection level (IB) and the gains in weight: from birth to adjusted weaning age (WG), and from weaning to yearling (YG). Statistical analyses were conducted in three steps: 1) Partition of (co) variances into genetic and residual components using Bayesian multiple-trait modeling (MTM); of 2) Search for plausible causal structures by applying the inductive causation (IC) algorithm to the residual (co)variances obtained in the first step; and 3) Final analysis using SEM, which was based on the causal network learned from the IC algorithm. The most plausible results comprised three direct links between traits: WG→YG, TC→WG, and WG→IB with structural coefficients posterior means equal to -0.3026, 6.3620, and 0.0004, respectively. The final inferred directed acyclic graph (DAG) suggests that interventions on TC would directly affect WG, which would then affected YG; moreover, WG could also present a small positive effect on IB. MenosTick infestation and associated diseases (i.e., babesiosis) constitute major drawbacks for improvement of beef cattle productivity in the tropics, mainly when purebred and crossbred taurine animals are used. Host-parasitepathogen interactions form complex biological systems that are poorly understood and which significantly affect production and quality traits in ways yet to be dissected and described. This research was carried out to investigate potential causal relationships, through the use of structural equation modeling (SEM), among tick counts (TC), Babesia bovis infection level (IB) and the gains in weight: from birth to adjusted weaning age (WG), and from weaning to yearling (YG). Statistical analyses were conducted in three steps: 1) Partition of (co) variances into genetic and residual components using Bayesian multiple-trait modeling (MTM); of 2) Search for plausible causal structures by applying the inductive causation (IC) algorithm to the residual (co)variances obtained in the first step; and 3) Final analysis using SEM, which was based on the causal network learned from the IC algorithm. The most plausible results comprised three direct links between traits: WG→YG, TC→WG, and WG→IB with structural coefficients posterior means equal to -0.3026, 6.3620, and 0.0004, respectively. The final inferred directed acyclic graph (DAG) suggests that interventions on TC would directly affect WG, which would then affected YG; moreover, WG could also presen... Mostrar Tudo |
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Palavras-Chave: |
Causality; Genetic parameter; Inductive causation; Tick resistance. |
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Thesaurus NAL: |
Babesiosis. |
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Categoria do assunto: |
H Saúde e Patologia |
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Marc: |
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001 2126667
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008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2020.104032$2DOI
100 1 $aCAVANI, L.
245 $aInferring phenotypic causal networks for tick infestation, Babesia bovis infection, and weight gain in Hereford and Braford cattle using structural equation models.$h[electronic resource]
260 $c2020
300 $a8 p.
520 $aTick infestation and associated diseases (i.e., babesiosis) constitute major drawbacks for improvement of beef cattle productivity in the tropics, mainly when purebred and crossbred taurine animals are used. Host-parasitepathogen interactions form complex biological systems that are poorly understood and which significantly affect production and quality traits in ways yet to be dissected and described. This research was carried out to investigate potential causal relationships, through the use of structural equation modeling (SEM), among tick counts (TC), Babesia bovis infection level (IB) and the gains in weight: from birth to adjusted weaning age (WG), and from weaning to yearling (YG). Statistical analyses were conducted in three steps: 1) Partition of (co) variances into genetic and residual components using Bayesian multiple-trait modeling (MTM); of 2) Search for plausible causal structures by applying the inductive causation (IC) algorithm to the residual (co)variances obtained in the first step; and 3) Final analysis using SEM, which was based on the causal network learned from the IC algorithm. The most plausible results comprised three direct links between traits: WG→YG, TC→WG, and WG→IB with structural coefficients posterior means equal to -0.3026, 6.3620, and 0.0004, respectively. The final inferred directed acyclic graph (DAG) suggests that interventions on TC would directly affect WG, which would then affected YG; moreover, WG could also present a small positive effect on IB.
650 $aBabesiosis
653 $aCausality
653 $aGenetic parameter
653 $aInductive causation
653 $aTick resistance
700 1 $aLOPES, F. B.
700 1 $aGIGLIOTI, R.
700 1 $aBRESOLIN, T.
700 1 $aCAMPOS, G. S.
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 $aROSA, G. J. de M.
700 1 $aOLIVEIRA, H. N. de
773 $tLivestock Science$gv. 238, aug. 2020, 104032.
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