Evidence map›Paper›PMID 39139607›Full record

ArticleFrontiers in veterinary science2024

Improving triplet lamb survival: management practices used by commercial farmers.

Cathrine Erichsen, Tamsin Coombs, Neil Sargison, Sue McCoard, Tim W J Keady, Cathy M Dwyer

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Cathrine ErichsenDepartment of Animal and Veterinary Sciences, Scotland's Rural College (SRUC), Edinburgh, United Kingdom.
Tamsin CoombsDepartment of Animal and Veterinary Sciences, Scotland's Rural College (SRUC), Edinburgh, United Kingdom.
Neil SargisonThe Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Sue McCoardAgResearch Ltd, Grasslands Research Centre, Palmerston North, New Zealand.
Tim W J KeadyTeagasc, Animal and Grassland Research and Innovation Centre, Athenry, Ireland.
Cathy M DwyerDepartment of Animal and Veterinary Sciences, Scotland's Rural College (SRUC), Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prolificacy has become an important breeding goal in sheep farming to increase farm profitability. With the adoption of improved genetics and management practices leading to increased lambing percentages, the proportion of triplet-born lambs has also increased on farms. However, mortality rates of triplet lambs are higher than for single- and twin-born lambs, and additional management inputs may be needed to support survival. The aim of this study was to identify factors that affect management practices that are considered important for triplet lamb survival by commercial farmers from the United Kingdom (UK), the Ireland (IRE), and New Zealand (NZ). Methods: An online survey was developed and disseminated to farmers in each country, focusing on farmer demographics, flock characteristics, management practices and production outcomes. A total of 448 farmers completed the survey, from the UK ( Results: Respondents had larger flocks, higher scanning and lambing percentages than the country average for the UK and IRE. The mean percentage of triplet litters born within flocks was 9%, and lambs lost between scanning and lambing were 14% for UK, 15% for IRE, and 25% for NZ respondents ( Discussion: The results of this survey highlight future priorities or communication strategies needed to improve triplet lamb survival.

Indexed as

attitudesfarmerslamb survivalmanagementsheepsurvivaltriplet lambs

Identifiers

PMID39139607
PMCPMC11319296

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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.