Evidence map›Paper›PMID 38310963›Full record

ArticleJournal of dairy science2024

Quantification of the effect of in utero events on lifetime resilience in dairy cows.

Katharine Lewis, Laura Shewbridge Carter, Andrew Bradley, Richard Dewhurst, Niamh Forde, Robert Hyde, Jasmeet Kaler, Margaret D March, Colin Mason, Luke O'Grady and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of dairy science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

13 authors at 4 institutions in 2 countries.

Katharine LewisDepartment of Veterinary Medicine and Science, University of Nottingham, Nottingham LE12 5RD, United Kingdom. Electronic address: kate.lewis@nottingham.ac.uk.
Laura Shewbridge CarterScotland's Rural College, Edinburgh AB21 9YA, United Kingdom.
Andrew BradleyDepartment of Veterinary Medicine and Science, University of Nottingham, Nottingham LE12 5RD, United Kingdom; Quality Milk Management Services, Cedar Barn, Easton, Wells, United Kingdom.
Richard DewhurstScotland's Rural College, Edinburgh AB21 9YA, United Kingdom.
Niamh FordeDiscovery and Translational Sciences Department, Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds BA5 1DU, United Kingdom.
Robert HydeDepartment of Veterinary Medicine and Science, University of Nottingham, Nottingham LE12 5RD, United Kingdom.
Jasmeet KalerDepartment of Veterinary Medicine and Science, University of Nottingham, Nottingham LE12 5RD, United Kingdom.
Margaret D MarchScotland's Rural College, Edinburgh AB21 9YA, United Kingdom.
Colin MasonScotland's Rural College, Edinburgh AB21 9YA, United Kingdom.
Luke O'GradyDepartment of Veterinary Medicine and Science, University of Nottingham, Nottingham LE12 5RD, United Kingdom.
Sam StrainAnimal Health and Welfare Northern Ireland, Dungannon, Co. Tyrone, BT71 6JT, United Kingdom.
Jake ThompsonDepartment of Veterinary Medicine and Science, University of Nottingham, Nottingham LE12 5RD, United Kingdom.
Martin GreenDepartment of Veterinary Medicine and Science, University of Nottingham, Nottingham LE12 5RD, United Kingdom.
University of Nottingham · GBScotland's Rural College · GBAnimal Health Ireland · IEUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the dairy industry is facing many challenges that could affect its sustainability, including climate change and public perception of the industry. As a result, interest is increasing in the concept of identifying resilient animals, those with a long productive lifespan, as well as good reproductive performance and milk yield. There is much evidence that events in utero, that is, the developmental origins of health and disease hypothesis, alter the life-course health of offspring and we hypothesized that these could alter resilience in calves, where resilience is identified using lifetime data. The aim of this study was to quantify lifetime resilience scores (LRS) using an existing scoring system, based on longevity with secondary corrections for age at first calving and calving interval, and to quantify the effects of in utero events on the LRS using 2 datasets. The first was a large dataset of cattle on 83 farms in Great Britain born from 2006 to 2015 and the second was a smaller, more granular dataset of cattle born between 2003 and 2015 in the Langhill research herd at Scotland's Rural College. Events during dam's pregnancy included health events (lameness, mastitis, use of an antibiotic or anti-inflammatory medication), the effect of heat stress as measured by temperature-humidity index, and perturbations in milk yield and quality (somatic cell count, percentage fat, percentage protein and fat:protein ratio). Daughters born to dams that experienced higher temperature-humidity indexes while they were in utero during the first and third trimesters of pregnancy had lower LRS. Daughter LRS were also lower where milk yields or median fat percentages in the first trimester were low, and when milk yields were high in the third trimester. Dam LRS was positively associated with LRS of their offspring; however, as parity of the dam increased, LRS of their calves decreased. Similarly, in the Langhill herd, dams of a higher parity produced calves with lower LRS. Additionally, dams that recorded a high maximum locomotion score in the third trimester of pregnancy were negatively associated with lower calf LRS in the Langhill herd. Our results suggest that events that occur during pregnancy have lifelong consequences for the calf's lifetime performance. However, experience of higher temperature-humidity indexes, higher dam LRS, and mothers in higher parities explained a relatively small proportion of variation in offspring LRS, which suggests that other factors play a substantial role in determining calf LRS. Although "big data" can contain a considerable amount of noise, similar findings between the 2 datasets indicate it is likely these findings are real.

Indexed as

LactationMilkAnimalsCattleDairyingFemalePregnancyReproductiondairy cow resiliencedevelopmental origins of health and diseaseheat stress

Identifiers

PMID38310963
PMCPMC11245670
OpenAlexW4391470571

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.