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

On the limited increase in validation reliability using high-density genotypes in genomic best linear unbiased prediction: observations from Fleckvieh cattle.

Journal of dairy science - 1 Jan 2014

Ertl J, Edel C, Emmerling R, Pausch H, Fries R, Götz K-U

Abstract excerpt

This study investigated reliability of genomic predictions using medium-density (40,089; 50K) or high-density (HD; 388,951) marker sets. We developed an approximate method to test differences in validation reliability for significance. Model-based reliability and the effect of HD genotypes on inflation of predictions were analyzed additionally. Genomic breeding values were predicted for at least 1,321 validation...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Cattle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome

Share to Genomics

Share to Linear Models

Share to Quantitative Trait Loci

Share to Reproducibility of Results

Source

Identifiers

PMID: 24210491
DOI: 10.3168/jds.2013-6855

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

On the limited increase in validation reliability using high-density genotypes in genomic best linear unbiased prediction: observations from Fleckvieh cattle.PMID 24210491Read ↗

Marker selection and genomic prediction of economically important traits using imputed high-density genotypes for 5 breeds of dairy cattle.Semantic proximity Read ↗

Comparison of genomic predictions using medium-density (∼54,000) and high-density (∼777,000) single nucleotide polymorphism marker panels in Nordic Holstein and Red Dairy Cattle populations.Semantic proximity Read ↗

Assets of imputation to ultra-high density for productive and functional traits.Semantic proximity Read ↗

Genomic prediction from observed and imputed high-density ovine genotypes.Semantic proximity Read ↗

High-density marker imputation accuracy in sixteen French cattle breeds.Semantic proximity Read ↗

Model comparison on genomic predictions using high-density markers for different groups of bulls in the Nordic Holstein population.Semantic proximity Read ↗

Short communication: Improving the accuracy of genomic prediction of body conformation traits in Chinese Holsteins using markers derived from high-density marker panels.Semantic proximity Read ↗

Reliability of genomic prediction for German Holsteins using imputed genotypes from low-density chips.Semantic proximity Read ↗

A function accounting for training set size and marker density to model the average accuracy of genomic prediction.Semantic proximity Read ↗

Accuracy of genomic prediction using low-density marker panels.Semantic proximity Read ↗

Genomic imputation and evaluation using high-density Holstein genotypes.Semantic proximity Read ↗

Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle.Semantic proximity Read ↗

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