Fecal Egg Counts, Nemabiomes, and Management Practices in Saskatchewan Horses
Notice bibliographique
Résumé
The purpose of this thesis was to describe intensity (fecal egg counts, FEC) and diversity (using nemabiome ITS2 metabarcoding approaches) of gastrointestinal nematodes in Saskatchewan horses, their relationships with individual horse variables and management practices, and effectiveness of owner-administered treatments. We conducted fecal surveys in horses in fall 2021 (n=107) and spring 2022 (n=123) that had not been dewormed in the previous 6 months, most of which were adults (greater than 3 years old). Parascaris spp. eggs were rare, more commonly present in spring and in horses less than 3 years old. Strongyle prevalence and mean FEC were significantly higher in fall (76% and 964 eggs per gram of feces, EPG) than spring (66% and 593 EPG), and in pastured vs stabled horses. Age was significantly associated with strongyle FEC, with higher counts in young and old horses, especially older mares. Third stage larvae were cultured from 95 fecal samples containing >200 strongyle EPG, and 34 unique species were identified, including 28 small strongyles (dominated by Cylicocyclus nassatus, Cyathostomum catinatum, and Cylicostephanus longibursatus), 2 large migratory strongyles (Strongylus vulgaris and S. edentatus), 3 non-migratory large strongyles (Triodontophorus spp. and Craterostomum acuticaudatum), and the cattle nematode Ostertagia ostertagi. Nemabiome composition was significantly associated with age, sex, collection season, and FEC. In fall, fecal samples from 5 of 29 horses resampled 14 days after anthelmintic treatment administered by owners harboured strongyle eggs (from 11 to 775 EPG) with a mean treatment effectiveness of 96%; on a single property with 15 horses, mean effectiveness was 92%, excluding a horse that likely missed its dose. Three samples contained 18 small strongyle species before treatment, and seven species after, including the 3 dominant small strongyles. Only 23% of horse owners used FEC to determine need for treatment, 41% automatically dewormed twice per year, 26% relied on appearance of the horse to calculate body weight, 55% used a product containing a macrocyclic lactone, and 39% of owners did not know what product they had most recently used. We report high strongyle FEC and diversity of strongyles for managed domestic horses, and evidence of lack of effectiveness of owner-administered treatments which may in part be related to suboptimal deworming practices as well as emerging resistance of small strongyles.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».