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

Genomic correlation: harnessing the benefit of combining two unrelated populations for genomic selection.

Genetics, selection, evolution : GSE - 2 Nov 2015

Porto-Neto Laercio R, Barendse William, Henshall John M, McWilliam Sean M, Lehnert Sigrid A, Reverter Antonio

Abstract excerpt

BACKGROUND: The success of genomic selection in animal breeding hinges on the availability of a large reference population on which genomic-based predictions of additive genetic or breeding values are built. Here, we explore the benefit of combining two unrelated populations into a single reference population. METHODS: The datasets consisted of 1829 Brahman and 1973 Tropical Composite cattle with measurements on...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Cattle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Crosses, Genetic

Share to Datasets as Topic

Share to Genome

Share to Quantitative Trait, Heritable

Share to Reproducibility of Results

Share to Selection, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 26525050
DOI: 10.1186/s12711-015-0162-0
PMCID: PMC4630892

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

Genomic correlation: harnessing the benefit of combining two unrelated populations for genomic selection.PMID 26525050Read ↗

Optimizing genomic prediction for Australian Red dairy cattle.Semantic proximity Read ↗

A common reference population from four European Holstein populations increases reliability of genomic predictions.Semantic proximity Read ↗

Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels.Semantic proximity Read ↗

Accuracy of Genomic Predictions Cross Populations with Different Linkage Disequilibrium Patterns.Semantic proximity Read ↗

Combining cow and bull reference populations to increase accuracy of genomic prediction and genome-wide association studies.Semantic proximity Read ↗

Development of genomic predictions for Angus cattle in Brazil incorporating genotypes from related American sires.Semantic proximity Read ↗

Genomic selection in animal breeding programs.Semantic proximity Read ↗

Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency.Semantic proximity Read ↗

Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.Semantic proximity Read ↗

Accuracy of genomic prediction when combining two related crossbred populations.Semantic proximity Read ↗

Compression distance can discriminate animals by genetic profile, build relationship matrices and estimate breeding values.Semantic proximity Read ↗

Expected values for the accuracy of predicted breeding values accounting for genetic differences between reference and target populations.Semantic proximity Read ↗

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