Accuracy of genomic prediction of shell quality in a White Leghorn line.
GWAS
eggshell quality
genomic prediction
white layers
Journal
Poultry science
ISSN: 1525-3171
Titre abrégé: Poult Sci
Pays: England
ID NLM: 0401150
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
26
06
2019
revised:
13
01
2020
accepted:
20
01
2020
entrez:
2
6
2020
pubmed:
2
6
2020
medline:
6
1
2021
Statut:
ppublish
Résumé
Several genomic methods were applied for predicting shell quality traits recorded at 4 different hen ages in a White Leghorn line. The accuracies of genomic prediction of single-step GBLUP and single-trait Bayes B were compared with predictions of breeding values based on pedigree-BLUP under single-trait or multitrait models. Breaking strength (BS) and dynamic stiffness (Kdyn) measurements were collected on 18,524 birds from 3 consecutive generations, of which 4,164 animals also had genotypes from an Affymetrix 50K panel containing 49,591 SNPs after quality control edits. All traits had low to moderate heritability, ranging from 0.17 for BS to 0.34 for Kdyn. The highest accuracies of prediction were obtained for the multitrait single-step model. The use of marker information resulted in higher prediction accuracies than pedigree-based models for almost all traits. A genome-wide association study based on a Bayes B model was conducted to detect regions explaining the largest proportion of genetic variance. Across all 8 shell quality traits analyzed, 7 regions each explaining over 2% of genetic variance and 54 regions each explaining over 1% of genetic variance were identified. The windows explaining a large proportion of genetic variance overlapped with several potential candidate genes with biological functions linked to shell formation. A multitrait repeatability model using a single-step method is recommended for genomic evaluation of shell quality in layer chickens.
Identifiants
pubmed: 32475416
pii: S0032-5791(20)30096-1
doi: 10.1016/j.psj.2020.01.019
pmc: PMC7597664
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2833-2840Informations de copyright
Copyright © 2020. Published by Elsevier Inc.
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