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Enregistrement W7133286413

Use of drugs and pesticides by the Canadian marine finfish aquaculture industry in 2016-2018

2022· other· en· W7133286413 sur OpenAlexaboutno aff
B. D. Chang, F. H. Page, D. H. Hamoutene

Notice bibliographique

RevueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2022
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPesticideAquaculturePesticide residueFish farmingAgriculture
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This document is part of a CSAS process in support of the development of a post-deposit monitoring program for drug and pesticide use at Canadian marine finfish farms. This report focusses on the usage (number of farms treated and amount of active ingredient used) of drugs and pesticides at Canadian marine finfish farms during 2016-2018. Total Canadian marine finfish aquaculture production showed a slight decrease during these years: 148 900 t in 2016; 140 500 t in 2017; and 138 400 t in 2018. By province, 61-63% of the annual production was in British Columbia (BC), 17-20% in New Brunswick (NB), 11-17% in Newfoundland & Labrador (NL), and 4-8% in Nova Scotia (NS); production was >95% Atlantic salmon. The Government of Canada has required marine finfish farms to report their usage of drugs and pesticides on an annual basis since 2016. Data on drug and pesticide use in 2016-2018 were obtained from the National Aquaculture Public Reporting Data (NAPRD) and the Aquaculture Integrated Information System (AQUIIS). The reported drugs (applied in-feed) and pesticides (applied in bath treatments) included antibiotic drugs (oxytetracycline, florfenicol, erythromycin, ormetoprim, and trimethoprim), pest control drugs (emamectin benzoate, ivermectin, and selamectin for sea louse control; and praziquantel for parasitic worm control), and pesticides (azamethiphos and hydrogen peroxide; both for sea louse control). Individual farms used from zero to six drugs and pesticides in 2016, and zero to five in 2017 and 2018. Of the 136-152 active marine finfish farms in each year during 2016-2018, 108-128 (74-84%) used at least one drug or pesticide in each year. By province, 52-58% of treated farms were in BC, 26-30% in NB, 13-18% in NL, and 0-3% in NS. The percentage of active farms that used at least one drug or pesticide was: 83-86% in BC; 69-86% in NB; 74-95% in NL; and 0-38% in NS. Of the five antibiotic drugs reported, florfenicol was used at the most farms (47-50 farms per yr), followed by oxytetracycline (17-24 farms per yr); the other three were used by ≤5 farms per yr. BC had the largest number of farms treated with florfenicol and the highest quantity used in each year (34-35 farms per yr). The largest number of farms treated with oxytetracycline was in NB in 2016 (10 farms) and in BC in 2017 (7 farms) and 2018 (10 farms); the highest quantity used was in NL in 2016 and 2017, and in BC in 2018. Of the pest control drugs, emamectin benzoate was used at the most farms in all three years (56-70 farms per yr). BC had the largest number of farms treated with emamectin benzoate in all three years (32-38 farms per yr), while NL used the largest quantity in all three years. Ivermectin was used at 14-20 farms per yr and was only used in NB and NL, with NB having the larger number of farms treated and the larger quantity used in each year. Selamectin was used on a trial basis only (one NB farm in 2017 and one NB farm in 2018). Praziquantel was used only in NL, and only in 2016 and 2017. One other sea louse control drug, lufeneron, was used in freshwater hatcheries in BC, NB, and NL. The pesticide azamethiphos was used at 20-42 farms per yr; it was used only in NB and NL. In 2016, NB had the larger number of farms treated with azamethiphos (29 farms) and the larger quantity used; in 2017 and 2018, NB and NL had equal numbers of farms treated (20 farms each in 2016, 10 farms each in 2017), while NL used the larger quantity in both years. Hydrogen peroxide was used at 25-37 farms per yr; it was used in BC, NB, and NL. In 2016, NB had the largest number farms treated with hydrogen peroxide (14 farms) and also used the largest quantity; in 2017 and 2018, BC had the largest number of treated farms (17 in 2017; 22 in 2018) and also used the largest quantity in both years. There were differences in usage between salmon year-classes for some of the chemicals: florfenicol and ivermectin were used primarily on smolts, while emamectin benzoate and azamethiphos were used more on pre-market fish. In BC, treatments with drugs and pesticides occurred throughout the year, while in NB and NL, treatments did not occur in winter and early spring; in NS, the only treatments were in August 2016 and in June-August 2018 (all NS treatments were antibiotics). The three years of data were insufficient to discern clear inter-annual trends in drug and pesticide use.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,206

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0040,005
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,224
Écart entre enseignants0,213 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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