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

Sampling strategies for whole genome association studies in aquaculture and outcrossing plant species.

Genetics research - 1 Dec 2009

Hayes B J, MacLeod I M, Baranski M

Abstract excerpt

A number of farmed species are characterized by breeding populations of large full-sib families, including aquaculture species and outcrossing plant species. Whole genome association studies in such species must account for stratification arising from the full-sib family structure to avoid high r...

Read the complete abstract on PubMed

Topics

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

Share to Aquaculture
Share to Crosses, Genetic
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Plant

Share to Genome-Wide Association Study

Share to Genotype

Share to Plants

Source

Identifiers

PMID: 19968912
DOI: 10.1017/S0016672309990310

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19968912-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Sampling strategies for whole genome association studies in aquaculture and outcrossing plant species.PMID 19968912Read ↗

Genomic Selection in Aquaculture Species.Semantic proximity Read ↗

Genome-wide association studies in plants: the missing heritability is in the field.Semantic proximity Read ↗

Analytical Approaches and Population Types for Finding and Utilizing QTL in Complex Plant PopulationsSemantic proximity Read ↗

Accounting for Errors in Low Coverage High-Throughput Sequencing Data When Constructing Genetic Maps Using Biparental Outcrossed Populations.Semantic proximity Read ↗

Recent history of artificial outcrossing facilitates whole-genome association mapping in elite inbred crop varieties.Semantic proximity Read ↗

Challenges and prospects in genome-wide quantitative trait loci mapping of standing genetic variation in natural populations.Semantic proximity Read ↗

Association mapping in outbred populations: power and efficiency when genotyping parents and phenotyping progeny.Semantic proximity Read ↗

Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genusSemantic proximity Read ↗

Genome-wide identification of agronomically important genes in outcrossing crops using OutcrossSeq.Semantic proximity Read ↗

Prospects and challenges for genome-wide association and genomic selection in oilseed Brassica species.Semantic proximity Read ↗

Mapping quantitative trait loci by genotyping haploid tissues.Semantic proximity Read ↗

RNA-Seq identifies SNP markers for growth traits in rainbow trout.Semantic proximity Read ↗

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