Browsing by Subject "Sus scrofa"

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    Detection of Stephanurus dentatus in wild boar urine using different parasitological techniques
    (Elsevier, 2021-04-15) Fernández Vizcaíno, Elena; Martínez-Carrasco Pleite, Carlos; Moratal, Samantha; Barroso, Patricia; Vicente Baños, Joaquín; Sanidad Animal; Facultad de Veterinaria
    Stephanurus dentatus is a nematode that parasitizes the urinary tract of domestic and wild Suidae, especially in tropical areas. However, there is a lack of information about stephanurosis in wild boar (Sus scrofa), thus making it necessary to develop sensitive techniques with which to diagnose this pathogen in order to carry out further research. In Spain, the high prevalence of this nematode has been evidenced in Do˜nana National Park (DNP). The objective of the present work is twofold. The first is to compare the efficacy of three parasitological techniques to detect S. dentatus eggs in the urine of infected wild boar: (i) gravity sedimentation, (ii) sedimentation by centrifugation, and (iii) flotation techniques, while the second is to determine whether the quantification of eggs can serve as an indicative value of the host’s parasite intensity. In order to accomplish these purposes, 27 wild boars from DNP were necropsied, and the urinary system of each animal was examined in order to determine parasite intensity. While all the aforementioned techniques can be used to detect eggs in urine, the most effective in terms of egg quantification are sedimentation by gravity and by centrifugation, as they allow a greater number of S. dentatus eggs to be detected. However, none of the results obtained with these techniques significantly correlated with the number of adult nematodes parasitizing the host, signifying that counts in urine can provide guidance on only the parasite intensity of wild boar.
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    Open Access
    Harmonization of the use of hunting statistics for wild boar density estimation in different study areas: report based on comparison of case studies in different wild boar populations representative of the different management and habitat conditions across Europe.
    (Wiley, 2019-08-29) ENETWILD-consortium; Vicente, Joaquín; Palencia, Pablo; Plhal, Radim; Blanco Aguiar, José Antonio; Laguna, Eduardo; Soriguer, Ramón; Fernández López, Javier; Podgórski, Tomasz; Petrović, Karolina; Apollonio, Marco; Scandura, Massimo; Ferroglio, Ezio; Zanet, Stefania; Brivio, Fracesca; Keuling, Oliver; Smith, Graham C.; Guibert, Miguel; Villanua, Diego; Rosell, Carme; Colomer, Joana; Armenteros, Jose Ángel; González Quirós, Pablo; Hernández Palacios, Orencio; Ferreres, Javier; Torres, José Antonio; Pareja, Pablo; Martínez-Carrasco Pleite, Carlos; Fafián, José Antonio; Escribano, Fernando; Esteve, Carles; Acevedo Lavandera, Pelayo; Sanidad Animal; Facultades de la UMU::Facultad de Veterinaria
    Hunting statistics can be suitable to determine wild boar density estimates if a calibration with an accepted rigorous method is performed. Here, densities calculated from drive counts during collective drive hunting activities are compared against density values calculated by camera trapping using the random encounter method. For this purpose, we selected 10 study sites in Spain, from North to South representing a diversity of habitats, management and hunting traditions without artificial feeding, plus one study site in Czech Republic where artificial feeding was practiced. Density values estimated from both drive counts and camera trapping were strongly positively correlated (R2=0.84 and 0.87 for linear and non-linear models, respectively) and showed a good agreement. Drive counts data might be therefore used as a density estimate to calibrate models for estimating density in large areas and potentially, to compare densities among areas. For these purposes, there is still the need to harmonise hunting data collection across Europe to make them usable at a large scale. Our results need to be confirmed across a wider number of European populations to provide valid geographical wild boar density predictions across Europe.