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

Predicted accuracy of and response to genomic selection for new traits in dairy cattle.

Animal : an international journal of animal bioscience - 1 Feb 2013

Calus M P L, de Haas Y, Pszczola M, Veerkamp R F

Abstract excerpt

Genomic selection relaxes the requirement of traditional selection tools to have phenotypic measurements on close relatives of all selection candidates. This opens up possibilities to select for traits that are difficult or expensive to measure. The objectives of this paper were to predict accuracy of and response to genomic selection for a new trait, considering that only a cow reference population of moderate...

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
Share to Crosses, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome

Share to Models, Genetic

Share to Quantitative Trait, Heritable

Share to Quantitative Trait Loci

Share to Selection, Genetic

Source

Identifiers

PMID: 23031684
DOI: 10.1017/S1751731112001450

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

Predicted accuracy of and response to genomic selection for new traits in dairy cattle.PMID 23031684Read ↗

The value of cows in reference populations for genomic selection of new functional traits.Semantic proximity Read ↗

Updating the reference population to achieve constant genomic prediction reliability across generations.Semantic proximity Read ↗

Using genomics to enhance selection of novel traits in North American dairy cattle.Semantic proximity Read ↗

Adding cows to the reference population makes a small dairy population competitive.Semantic proximity Read ↗

Effect of enlarging the reference population with (un)genotyped animals on the accuracy of genomic selection in dairy cattle.Semantic proximity Read ↗

The effect of using cow genomic information on accuracy and bias of genomic breeding values in a simulated Holstein dairy cattle population.Semantic proximity Read ↗

Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs.Semantic proximity Read ↗

Application of selection index calculations to determine selection strategies in genomic breeding programs.Semantic proximity Read ↗

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

The impact of genotyping different groups of animals on accuracy when moving from traditional to genomic selection.Semantic proximity Read ↗

Effect of genotyped cows in the reference population on the genomic evaluation of Holstein cattle.Semantic proximity Read ↗

Integration of genomic information into sport horse breeding programs for optimization of accuracy of selection.Semantic proximity Read ↗

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