Publications by authors named "I G Beveridge"

Over the past few decades, the emergence of resistance amongst intestinal parasites of horses to all available anthelmintic classes has emphasised the need for a paradigm shift in parasite control approaches within the Australian equine industry. Findings of a recent Australia-wide research project have provided new insights into intestinal parasites (i.e.

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This study assessed worm control practices used by Australian Thoroughbred farm managers with an online questionnaire survey. The questionnaire comprised 52 questions (close-ended: 44; open-ended: 8) about farm demography and general husbandry practices, farm managers' knowledge of gastrointestinal nematodes (GIN) and their importance, diagnosis, worm control strategies and anthelmintics, anthelmintic resistance (AR) and grazing management. Following the pilot survey, the link for the questionnaire survey was sent to all (n = 657) registered members of the Thoroughbred Breeders Australia on 12th April 2020.

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Article Synopsis
  • - This study analyzed the distribution of ascarid and strongylid nematodes in Thoroughbred horses across different age groups and climatic zones in Australia over 18 months, using faecal samples to assess egg counts.
  • - Yearlings had the highest prevalence of strongyle eggs (82%), while foals had the highest prevalence of Parascaris spp. (35%), with varying mean faecal egg counts based on age and climate.
  • - The study identified 26 nematode species, highlighting seasonal and regional variations in prevalence, providing vital information for developing improved parasite management strategies for horses.
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This study quantified the extent of anthelmintic resistance (AR) in ascarid and strongylid nematodes against commonly used anthelmintics in Australian Thoroughbred horses. Faecal egg count reduction tests (FECRTs, n = 86) and egg reappearance period (ERP) tests were conducted on 22 farms across Australia. Faecal egg counts (FECs) were determined using the modified McMaster technique, and percent faecal egg count reduction (%FECR) was calculated using the Bayesian hierarchical model and hybrid Frequentist/Bayesian analysis method.

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