Evidence map›Paper›PMID 32046634›Full record

ArticleBMC genetics2020

Reliability of genomic evaluation for egg quality traits in layers.

David Picard Druet, Amandine Varenne, Florian Herry, Frédéric Hérault, Sophie Allais, Thierry Burlot, Pascale Le Roy

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Fourth Report on Chicken Genes and Chromosomes 2022.Cytogenetic and genome research · 2022
    Review
  5. Article
  6. Article
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

7 authors at 2 institutions in 1 country.

David Picard DruetPEGASE, INRAE, Agrocampus Ouest, 16 Le Clos, Saint-Gilles, 35590, France.ORCID 0000-0001-6914-9936
Amandine VarenneNOVOGEN, 5, rue des Compagnons, Plédran, 22960, France.
Florian HerryPEGASE, INRAE, Agrocampus Ouest, 16 Le Clos, Saint-Gilles, 35590, France.
Frédéric HéraultPEGASE, INRAE, Agrocampus Ouest, 16 Le Clos, Saint-Gilles, 35590, France.
Sophie AllaisPEGASE, INRAE, Agrocampus Ouest, 16 Le Clos, Saint-Gilles, 35590, France.
Thierry BurlotNOVOGEN, 5, rue des Compagnons, Plédran, 22960, France.
Pascale Le RoyPEGASE, INRAE, Agrocampus Ouest, 16 Le Clos, Saint-Gilles, 35590, France. pascale.le-roy@inrae.fr.
Institut Agro Rennes-Angers · FRAltran (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenomic evaluation, based on the use of thousands of genetic markers in addition to pedigree and phenotype information, has become the standard evaluation methodology in dairy cattle breeding programmes over the past several years. Despite the many differences between dairy cattle breeding and poultry breeding, genomic selection seems very promising for the avian sector, and studies are currently being conducted to optimize avian selection schemes. In this optimization perspective, one of the key parameters is to properly predict the accuracy of genomic evaluation in pure line layers.

resultsIt was observed that genomic evaluation, whether performed on males or females, always proved more accurate than genetic evaluation. The gain was higher when phenotypic information was narrowed, and an augmentation of the size of the reference population led to an increase in accuracy prediction with regard to genomic evaluation. By taking into account the increase of selection intensity and the decrease of the generation interval induced by genomic selection, the expected annual genetic gain would be higher with ancestry-based genomic evaluation of male candidates than with genetic evaluation based on collaterals. This advantage of genomic selection over genetic selection requires more detailed further study for female candidates.

conclusionsIn conclusion, in the population studied, the genomic evaluation of egg quality traits of breeding birds at birth seems to be a promising strategy, at least for the selection of males.

Indexed as

EggsGenomeGenomicsQuantitative Trait, HeritableAnimalsCattleFemaleGenetic Association StudiesGenotypeMalePhenotypeAccuracyEgg qualityGenomic evaluationLaying hensSingle step

Identifiers

PMID32046634
PMCPMC7014768
OpenAlexW3008509332

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.