Identifying research gaps regarding the influence of maternal stress on bovine female offspring’s Anti-Müllerian hormone (AMH) concentrations: A scoping review protocol
Notice bibliographique
Résumé
Introduction: Farmers consistently aim to increase cattle longevity in their herds to improve sustainability of cattle production. However, infertility or low fertility is one of the reasons for culling healthy dairy and beef cows with a negative impact on longevity. In dairy cattle, around 14.2% in Canada and 26.7% in the U.S. (CDIC, 2022; USDA, 1996) of cattle are culled due to fertility issues, with a similar percentage for beef cattle (US, 27.2%; USDA, 1999). Fertility in these animals shows a progressive decline which points to a long-term effect that could start during ovarian development (Wathes et al., 2014 ). The ovaries in cattle develop in utero (30-90 d of pregnancy) with heifers having their lifetime supply of follicles at birth (i.e., ovarian reserve, OR; Hernandez-Medrano et al., 2012). Any disruption in the development of the OR may result in fertility complications and decreased reproductive longevity (Hernandez-Medrano et al., 2012; Mossa et al., 2015; Akbarinejad et al., 2017). Maternal stress, such as thermal or nutritional, are some of those disruptions that have a long-lasting effect on offspring health and productive potential. The exact mechanisms for these effects are still elusive. Growing follicles produce the dimeric glycoprotein hormone, Anti-Müllerian hormone (AMH), which has been reported as a marker for the antral follicular population in cows and their reproductive potential (Alward & Bohlen, 2019). This review will identify publications that have studied the link between maternal stress and gonadal development, ultimately resulting in a breakdown of what’s known regarding the influence of maternal stress during gestation on AMH concentrations in female offspring. Objective: The objective of this review is to identify the published literature discussing how AMH concentrations in bovine female offspring are influenced by nutritional or thermal stress experienced by the dam during gestation. The results will highlight areas of consensus and propose research approaches to fill the gaps in knowledge. The overall goal of this scoping review is to evaluate the feasibility to implement AMH as an early marker of reproductive potential and help producers improve the sustainability of their farms. Methods: A scoping review reported according to the PRISMA scoping review extension will be carried out with a total of five databases being used for the study (CAB Abstracts, MEDLINE, BIOSIS Previews, the Web of Science, and SciELO). Concepts to be considered in the primary search include cattle, pregnancy, nutritional or thermal stress, and offspring outcomes. Article screening will consist of two stages: title and abstract, and full text. Articles will be included in the review if they discuss AMH concentrations, bovine female offspring, and are peer-reviewed academic journal articles or conference proceedings. Articles will then be excluded from the study if they are non-English or non-Spanish. The articles that meet this criterion will then be charted in an Excel spreadsheet.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,038 | 0,062 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,009 | 0,011 |
| Bibliométrie | 0,019 | 0,011 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,005 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 0,003 |
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 source (Gemma direct ou Codex distillé), 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 ».