Evaluating pollinator exposures to sulfoxaflor via bee-relevant matrices: a systems-level approach using semi-probabilistic methods for assessing hazards; sulfoxaflor environmental science review part IV
Notice bibliographique
Résumé
Sulfoxaflor (SFX) is a newly registered IRAC Group 4C nAChR-receptor-agonist systemic insecticide that is used to control sap-sucking insects in a variety of crops. SFX has a short half-life (< 2 days) in agricultural soil and is only used as a foliar-applied product. Pollinators such as honey bees could be exposed directly to spray if application occurs shortly before or during blooming of flowers, or, as SFX is systemic, via oral exposures to nectar and pollen collected by bees. Guided by a Weight-of-Evidence rubric, this paper critically assessed studies on the fate of SFX in bee-relevant matrices submitted by the registrant in several jurisdictions as well as a few studies published in the open scientific literature. These studies provided data for residues in pollen and/or nectar from 16 crops grown in several countries in both hemispheres. SFX and transformation products were detected in nectar and pollen. Transformation products have low hazard to honeybees, so the focus was on the parent material, SFX, which was observed to dissipate rapidly from pollen and nectar after application. Dietary No-Observed-Adverse-Effect-Concentrations (NOAEC) derived from results of 10-day continuous feeding studies of adult (0.50 mg kg−1 diet d−1) and larval honeybees (1.69 mg kg−1 diet d−1) were used as precautionary toxicity benchmarks to characterize hazards. In this paper, we used a tiered process. The initial screening tier was based on the greatest concentration measured in the matrix. For scenarios that did not pass Tier-1, a second tier based on the 10-day time-weighted average (area under the curve, AUC) concentration in the matrix was used as a more realistic measure of exposure. Of the 90 scenarios of use that were characterized, 36 did not pass the initial screening benchmark based on ≥1concentration of SFX exceeding the 10-day NOAEC. When the 10-day AUC of exposure was estimated for these scenarios, 3 of 90 did not pass the more realistic toxicity benchmark. These three scenarios were for residues in pollen or anthers for alfalfa grown in California, strawberries grown in France, peaches grown in Michigan. The two-tier screening procedure for hazard assessment lessened the need for further assessment for 97% of the exposure scenarios and reduced the need for characterizing hazards in field-level whole-hive tests conducted under controlled conditions of exposure.
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 | 0,014 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».