Data/hora: 24/06/2024 13:25:01

Biblioteca(s): 	Embrapa Pecuária Sudeste; Embrapa Pecuária Sul.	
Data corrente: 	17/11/2020	
Data da última atualização: 	18/11/2020	
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.	
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.	
Título: 	Inferring phenotypic causal networks for tick infestation, Babesia bovis infection, and weight gain in Hereford and Braford cattle using structural equation models.	
Ano de publicação: 	2020	
Fonte/Imprenta: 	Livestock Science, v. 238, aug. 2020, 104032.	
Páginas: 	8 p.	
DOI: 	https://doi.org/10.1016/j.livsci.2020.104032	
Idioma: 	Inglês	
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&#8594;YG, TC&#8594;WG, and WG&#8594;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.	
Palavras-Chave: 	Causality; Genetic parameter; Inductive causation; Tick resistance.	
Thesaurus Nal: 	Babesiosis.	
Categoria do assunto: 	H Saúde e Patologia	
Registro original: 	Embrapa Pecuária Sudeste (CPPSE)	
Exemplares: 	CPPSE - (25146-1) - UPC - AP - DD - PROCI-2020.00063 - CAV - 2020.00114 - DIS
CPPSUL - (14716-1) - UPC - AP - DD -  -  -  - DIS