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Bioeconomic simulation of Rhipicephalus microplus infestation in different beef cattle production systems in the Brazilian Cerrado

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  • Calvano, Maria Paula Cavuto Abrão
  • Brumatti, Ricardo Carneiro
  • Barros, Jacqueline Cavalcante
  • Garcia, Marcos Valério
  • Martins, Kauê Rodriguez
  • Andreotti, Renato

Abstract

Models are important tools to assess the impacts of tick infestation on the economic performance of different beef cattle production systems. The information from these simulations can be used by producers to evaluate, compare and make decisions about strategic measures to control the tick Rhipicephalus microplus, which cause significant production losses for the beef cattle production chain.

Suggested Citation

  • Calvano, Maria Paula Cavuto Abrão & Brumatti, Ricardo Carneiro & Barros, Jacqueline Cavalcante & Garcia, Marcos Valério & Martins, Kauê Rodriguez & Andreotti, Renato, 2021. "Bioeconomic simulation of Rhipicephalus microplus infestation in different beef cattle production systems in the Brazilian Cerrado," Agricultural Systems, Elsevier, vol. 194(C).
  • Handle: RePEc:eee:agisys:v:194:y:2021:i:c:s0308521x21002006
    DOI: 10.1016/j.agsy.2021.103247
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    1. Ash, Andrew & Hunt, Leigh & McDonald, Cam & Scanlan, Joe & Bell, Lindsay & Cowley, Robyn & Watson, Ian & McIvor, John & MacLeod, Neil, 2015. "Boosting the productivity and profitability of northern Australian beef enterprises: Exploring innovation options using simulation modelling and systems analysis," Agricultural Systems, Elsevier, vol. 139(C), pages 50-65.
    2. Wolf, Christopher A., 2005. "Producer Livestock Disease Management Incentives and Decisions," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 8(1), pages 1-16.
    3. Cardoso, Abmael S. & Berndt, Alexandre & Leytem, April & Alves, Bruno J.R. & de Carvalho, Isabel das N.O. & de Barros Soares, Luis Henrique & Urquiaga, Segundo & Boddey, Robert M., 2016. "Impact of the intensification of beef production in Brazil on greenhouse gas emissions and land use," Agricultural Systems, Elsevier, vol. 143(C), pages 86-96.
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