Evidence map›Paper›PMID 41849342›Full record

ArticlePloS one2026

Intergenerational effects of the pre-conception period on the number of services required by the daughter in dairy cows.

Abdelkader A Ameur, Roger I Cue, Marc-André Sirard

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Abdelkader A AmeurDepartment of Animal Science, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada.ORCID https://orcid.org/0000-0002-7450-4311
Roger I CueDepartment of Animal Science, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada.
Marc-André SirardCentre de recherche en reproduction, développement et santé intergénérationnelle, Faculté des sciences de l'Agriculture et de l'Alimentation, Département des Sciences Animales, Pavillon INAF, Université Laval, Québec, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated how the metabolic status of dairy cow dams during the pre-conception period influences the fertility of their daughters. Using a large dataset from Lactanet Canada (2008-2023), we analyzed whether cumulative milk yield deviations-used as a proxy for energy balance-during the 40 days before conception were associated with the number of services required for conception across four daughter lactations. A linear mixed model incorporating milk yield deviations was employed. Results showed that daughters of high-yielding dams required more services (2.25) compared to those of low-yielding dams (2.15), suggesting impaired fertility associated with elevated maternal production. Additionally, daughters of multiparous dams required fewer services, indicating potential selection for fertility with increasing dam lactation number. Days in milk (DIM) at dam conception were positively associated with the number of services required by daughters in their first lactation. Overall, daughters in their first lactation required fewer services than those in subsequent lactations, reflecting a decline in reproductive efficiency with age. These findings highlight the influence of maternal metabolic status on offspring fertility, emphasizing the importance of managing dam energy balance during the preconception period to enhance herd reproductive performance.

Indexed as

FertilityFertilizationLactationAnimalsCattleDairyingEnergy MetabolismFemaleMilkPregnancyReproduction

Identifiers

PMID41849342
PMCPMC12998810

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.