Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Impact of fitting dominance and additive effects on accuracy of genomic prediction of breeding values in layers.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 Oct 2016

Heidaritabar M, Wolc A, Arango J, Zeng J, Settar P, Fulton J E, O'Sullivan N P, Bastiaansen J W M, Fernando R L, Garrick D J, Dekkers J C M

Abstract excerpt

Most genomic prediction studies fit only additive effects in models to estimate genomic breeding values (GEBV). However, if dominance genetic effects are an important source of variation for complex traits, accounting for them may improve the accuracy of GEBV. We investigated the effect of fitting dominance and additive effects on the accuracy of GEBV for eight egg production and quality traits in a purebred line...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bayes Theorem
Share to Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Chickens

Share to Genes, Dominant

Share to Pedigree

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 27357473
DOI: 10.1111/jbg.12225

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Impact of fitting dominance and additive effects on accuracy of genomic prediction of breeding values in layers.PMID 27357473Read ↗

Breeding value prediction for production traits in layer chickens using pedigree or genomic relationships in a reduced animal model.Semantic proximity Read ↗

Genomic prediction based on data from three layer lines: a comparison between linear methods.Semantic proximity Read ↗

Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits.Semantic proximity Read ↗

Prediction of heterosis using genome-wide SNP-marker data: application to egg production traits in white Leghorn crosses.Semantic proximity Read ↗

Comparison of genomic and traditional BLUP-estimated breeding value accuracy and selection response under alternative trait and genomic parameters.Semantic proximity Read ↗

Accuracy of genomic prediction using imputed whole-genome sequence data in white layers.Semantic proximity Read ↗

Genomic prediction of crossbred performance based on purebred Landrace and Yorkshire data using a dominance model.Semantic proximity Read ↗

Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs.Semantic proximity Read ↗

Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture.Semantic proximity Read ↗

Accounting for genetic architecture for body weight improves accuracy of predicting breeding values in a commercial line of broilers.Semantic proximity Read ↗

Genomic Model with Correlation Between Additive and Dominance Effects.Semantic proximity Read ↗

Predicting heterosis for egg production traits in crossbred offspring of individual White Leghorn sires using genome-wide SNP data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.