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 prediction of host resistance to sea lice in farmed Atlantic salmon populations.

Genetics, selection, evolution : GSE - 29 Jun 2016

Tsai Hsin-Yuan, Hamilton Alastair, Tinch Alan E, Guy Derrick R, Bron James E, Taggart John B, Gharbi Karim, Stear Michael, Matika Oswald, Pong-Wong Ricardo, Bishop Steve C, Houston Ross D

Abstract excerpt

BACKGROUND: Sea lice have significant negative economic and welfare impacts on marine Atlantic salmon farming. Since host resistance to sea lice has a substantial genetic component, selective breeding can contribute to control of lice. Genomic selection uses genome-wide marker information to predict breeding values, and can achieve markedly higher accuracy than pedigree-based methods. Our aim was to assess the...

Read the complete abstract on PubMed

Topics

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

Share to Aquaculture
Share to Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Copepoda

Share to Disease Resistance

Share to Fish Diseases

Share to Models, Genetic

Share to Multifactorial Inheritance

Share to Salmo salar

Source

Open in PubMed Open full text

Identifiers

PMID: 27357694
DOI: 10.1186/s12711-016-0226-9
PMCID: PMC4926294

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 prediction of host resistance to sea lice in farmed Atlantic salmon populations.PMID 27357694Read ↗

The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar).Semantic proximity Read ↗

The impact of genetic relationship between training and validation populations on genomic prediction accuracy in Atlantic salmonSemantic proximity Read ↗

Optimizing Low-Cost Genotyping and Imputation Strategies for Genomic Selection in Atlantic Salmon.Semantic proximity Read ↗

Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture.Semantic proximity Read ↗

Genotype Imputation To Improve the Cost-Efficiency of Genomic Selection in Farmed Atlantic Salmon.Semantic proximity Read ↗

Potential of genomic selection for improvement of resistance to ostreid herpesvirus in Pacific oyster (Crassostrea gigas).Semantic proximity Read ↗

Genome-scale comparative analysis for host resistance against sea lice between Atlantic salmon and rainbow trout.Semantic proximity Read ↗

Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia (Oreochromus nilioticus).Semantic proximity Read ↗

Accuracy of genomic prediction using multiple Atlantic salmon populations.Semantic proximity Read ↗

Improving the accuracy of genomic predictions for disease resistance traits in fish using a multiple-trait linear-threshold modelSemantic proximity Read ↗

Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon.Semantic proximity Read ↗

Prediction of genomic breeding values based on pre-selected SNPs using ssGBLUP, WssGBLUP and BayesB for Edwardsiellosis resistance in Japanese flounder.Semantic proximity Read ↗

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