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

Optimum multistage genomic selection in dairy cattle.

Journal of dairy science - 1 Apr 2012

Börner V, Teuscher F, Reinsch N

Abstract excerpt

The availability of different single nucleotide polymorphism (SNP) chips and the development of imputation algorithms allow for multistage dairy cattle breeding schemes applying various genomic selection strategies. These SNP genotypes yield genomically estimated breeding values (GEBV) with different accuracies at different costs. Thus, the optimum allocation of investments to different selection paths and...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Breeding
Share to Cattle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Costs and Cost Analysis

Share to Dairying

Share to Pedigree

Share to Polymorphism, Single Nucleotide

Share to Selection, Genetic

Source

Identifiers

PMID: 22459855
DOI: 10.3168/jds.2011-4381

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

Optimum multistage genomic selection in dairy cattle.PMID 22459855Read ↗

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

Optimal strategies for the use of genomic selection in dairy cattle breeding programs.Semantic proximity Read ↗

Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers.Semantic proximity Read ↗

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

Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. Holsteins.Semantic proximity Read ↗

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

A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.Semantic proximity Read ↗

Genomic predictions based on animal models using genotype imputation on a national scale in Norwegian Red cattle.Semantic proximity Read ↗

Short communication: genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows.Semantic proximity Read ↗

Precision of genetic parameters and breeding values estimated in marker assisted BLUP genetic evaluation.Semantic proximity Read ↗

Empirical and deterministic accuracies of across-population genomic prediction.Semantic proximity Read ↗

Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit.Semantic proximity Read ↗

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