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Estimation of pasture infectivity according to weather conditions through a fuzzy parametrized model for the free-living stage of Ostertagia ostertagi

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  • Chaparro, M.A.E.
  • Canziani, G.A.
  • Saumell, C.A.
  • Fiel, C.A.

Abstract

Gastrointestinal parasitism is one of the diseases that has the highest economic impact on the Argentinian beef production system, rendering it inefficient. In the region of the Humid Pampas, it has been estimated that 22 million dollars are lost annually because of the death of calves and 170 million dollars are lost in sub-clinic costs. A mathematical model with fuzzy parameters was constructed for the analysis of the free-living stages of gastrointestinal parasites, with the purpose of estimating the pool of L3 larvae available for migration to pasture and the levels of infection in pasture at any time of the year under different climatic conditions. The model is formulated in terms of a system of three difference equations. These equations describe the abundance of parasites in each of the successive stages of the population development. The model was calibrated and tested with data gathered through fieldwork carried out in Tandil (37°19′S, 59°08′05″W), province of Buenos Aires (Argentina) and the corresponding weather data. A comparison between model simulations and fieldwork data obtained in other locations achieved satisfactory results.

Suggested Citation

  • Chaparro, M.A.E. & Canziani, G.A. & Saumell, C.A. & Fiel, C.A., 2011. "Estimation of pasture infectivity according to weather conditions through a fuzzy parametrized model for the free-living stage of Ostertagia ostertagi," Ecological Modelling, Elsevier, vol. 222(11), pages 1820-1832.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:11:p:1820-1832
    DOI: 10.1016/j.ecolmodel.2011.03.019
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    Cited by:

    1. Chaparro, M.A.E. & Canziani, G.A. & Fiel, C.A., 2013. "Parasitic stage of Ostertagia ostertagi: A mathematical model for the livestock production region of Argentina," Ecological Modelling, Elsevier, vol. 265(C), pages 56-63.
    2. Kipling, Richard P. & Bannink, André & Bellocchi, Gianni & Dalgaard, Tommy & Fox, Naomi J. & Hutchings, Nicholas J. & Kjeldsen, Chris & Lacetera, Nicola & Sinabell, Franz & Topp, Cairistiona F.E. & va, 2016. "Modeling European ruminant production systems: Facing the challenges of climate change," Agricultural Systems, Elsevier, vol. 147(C), pages 24-37.

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