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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. |
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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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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: |
LEADER 02577naa a2200337 a 4500
001 2126667
005 2020-11-18
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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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agropecuária Oeste. Para informações adicionais entre em contato com cpao.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agropecuária Oeste. |
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Data corrente: |
15/05/2015 |
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Data da última atualização: |
15/05/2015 |
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Autoria: |
CARVALHO, A. M. de; PRADO, J. S. M.; MIRANDA, L. N. de; RAMOS, M. L. G.; RIBEIRO JUNIOR, W. Q. |
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Afiliação: |
ARMINDA MOREIRA DE CARVALHO, CPAC; JEANNE SCARDINI MARINHO PRADO, CNPMA; LEO NOBRE DE MIRANDA, ENGENHEIRO AGRÔNOMO; MARIA LUCRÉCIA GEROSA RAMOS, UNB; WALTER QUADROS RIBEIRO JUNIOR, CPAC. |
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Título: |
Adubação verde no Cerrado. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: LIMA FILHO, O. F. de; AMBROSANO, E. J.; ROSSI, F.; CARLOS, J. A. D. (Ed.). Adubação verde e plantas de cobertura no Brasil: fundamentos e prática. Brasília, DF: Embrapa, 2014. |
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Volume: |
v. 2 |
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Páginas: |
p. 343-372 |
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ISBN: |
978-85-7035-319-5 |
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Idioma: |
Português |
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Thesaurus NAL: |
green manures. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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Marc: |
LEADER 00676naa a2200205 a 4500
001 2015503
005 2015-05-15
008 2014 bl uuuu u00u1 u #d
020 $a978-85-7035-319-5
100 1 $aCARVALHO, A. M. de
245 $aAdubação verde no Cerrado.
260 $c2014
300 $ap. 343-372 v. 2
490 $vv. 2
650 $agreen manures
700 1 $aPRADO, J. S. M.
700 1 $aMIRANDA, L. N. de
700 1 $aRAMOS, M. L. G.
700 1 $aRIBEIRO JUNIOR, W. Q.
773 $tIn: LIMA FILHO, O. F. de; AMBROSANO, E. J.; ROSSI, F.; CARLOS, J. A. D. (Ed.). Adubação verde e plantas de cobertura no Brasil: fundamentos e prática. Brasília, DF: Embrapa, 2014.
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Embrapa Agropecuária Oeste (CPAO) |
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