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 evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants.

Genetics, selection, evolution : GSE - 6 Apr 2018

Zhang Chunyan, Kemp Robert Alan, Stothard Paul, Wang Zhiquan, Boddicker Nicholas, Krivushin Kirill, Dekkers Jack, Plastow Graham

Abstract excerpt

BACKGROUND: Increasing marker density was proposed to have potential to improve the accuracy of genomic prediction for quantitative traits; whole-sequence data is expected to give the best accuracy of prediction, since all causal mutations that underlie a trait are expected to be included. However, in cattle and chicken, this assumption is not supported by empirical studies. Our objective was to compare the...

Read the complete abstract on PubMed

Topics

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

Share to Animal Feed
Share to Cattle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Eating

Share to Models, Genetic

Share to Pedigree

Share to Quantitative Trait Loci

Share to Weight Gain

Share to Whole Genome Sequencing

Source

Open in PubMed Open full text

Identifiers

PMID: 29625549
DOI: 10.1186/s12711-018-0387-9
PMCID: PMC5889553

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants.PMID 29625549Read ↗

Haplotype genomic prediction of phenotypic values based on chromosome distance and gene boundaries using low-coverage sequencing in Duroc pigs.Semantic proximity Read ↗

SNP annotation-based whole genomic prediction and selection: an application to feed efficiency and its component traits in pigs.Semantic proximity Read ↗

Feed intake, average daily gain, feed efficiency, and real-time ultrasound traits in Duroc pigs: I. Genetic parameter estimation and accuracy of genomic prediction.Semantic proximity Read ↗

Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population.Semantic proximity Read ↗

Feed intake, average daily gain, feed efficiency, and real-time ultrasound traits in Duroc pigs: II. Genomewide association.Semantic proximity Read ↗

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

Single-Step Genomic Evaluation for Meat Quality Traits, Sensory Characteristics, and Fatty-Acid Composition in Duroc Pigs.Semantic proximity Read ↗

Increased prediction accuracy using a genomic feature model including prior information on quantitative trait locus regions in purebred Danish Duroc pigs.Semantic proximity Read ↗

Accelerated deciphering of the genetic architecture of agricultural economic traits in pigs using a low-coverage whole-genome sequencing strategy.Semantic proximity Read ↗

The construction of a haplotype reference panel using extremely low coverage whole genome sequences and its application in genome-wide association studies and genomic prediction in Duroc pigs.Semantic proximity Read ↗

An imputation-based genome-wide association study for growth and fatness traits in Sujiang pigs.Semantic proximity Read ↗

Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing.Semantic proximity Read ↗

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