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

Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes.

Journal of animal science - 1 Apr 2016

Lu D, Akanno E C, Crowley J J, Schenkel F, Li H, De Pauw M, Moore S S, Wang Z, Li C, Stothard P, Plastow G, Miller S P, Basarab J A

Abstract excerpt

The accuracy of genomic predictions can be used to assess the utility of dense marker genotypes for genetic improvement of beef efficiency traits. This study was designed to test the impact of genomic distance between training and validation populations, training population size, statistical methods, and density of genetic markers on prediction accuracy for feed efficiency traits in multibreed and crossbred beef...

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 Delete account & data About Contact Helena Bioinformatics

Share to Canada

Share to Cattle

Share to Energy Metabolism

Share to Genome

Share to Genomics

Share to Population Density

Source

Identifiers

PMID: 27135994
DOI: 10.2527/jas.2015-0126

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes.PMID 27135994Read ↗

Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population.Semantic proximity Read ↗

Accuracy of predicting genomic breeding values for residual feed intake in Angus and Charolais beef cattle.Semantic proximity Read ↗

The impact of training strategies on the accuracy of genomic predictors in United States Red Angus cattle.Semantic proximity Read ↗

Accuracy of prediction of genomic breeding values for residual feed intake and carcass and meat quality traits in Bos taurus, Bos indicus, and composite beef cattle.Semantic proximity Read ↗

Genomic prediction in French Charolais beef cattle using high-density single nucleotide polymorphism markers.Semantic proximity Read ↗

Genome-wide association study for feed efficiency traits using SNP and haplotype models.Semantic proximity Read ↗

Improving accuracy of genomic prediction in Brangus cattle by adding animals with imputed low-density SNP genotypes.Semantic proximity Read ↗

Genome-Enabled Prediction of Breeding Values for Feedlot Average Daily Weight Gain in Nelore Cattle.Semantic proximity Read ↗

Estimation of genomic breeding values for residual feed intake in a multibreed cattle population.Semantic proximity Read ↗

Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle.Semantic proximity Read ↗

Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes.Semantic proximity Read ↗

Accuracy of genomic breeding values for residual feed intake in crossbred beef cattle.Semantic proximity Read ↗

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