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

QTL linkage analysis of connected populations using ancestral marker and pedigree information.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Apr 2012

Bink Marco C A M, Totir L Radu, ter Braak Cajo J F, Winkler Christopher R, Boer Martin P, Smith Oscar S

Abstract excerpt

The common assumption in quantitative trait locus (QTL) linkage mapping studies that parents of multiple connected populations are unrelated is unrealistic for many plant breeding programs. We remove this assumption and propose a Bayesian approach that clusters the alleles of the parents of the current mapping populations from locus-specific identity by descent (IBD) matrices that capture ancestral marker and...

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 Crosses, Genetic

Share to Genes, Plant

Share to Genetics, Population

Share to Linkage Disequilibrium

Share to Quantitative Trait Loci

Share to Zea mays

Source

Open in PubMed Open full text

Identifiers

PMID: 22228242
DOI: 10.1007/s00122-011-1772-8
PMCID: PMC3325021

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

QTL linkage analysis of connected populations using ancestral marker and pedigree information.PMID 22228242Read ↗

Combined linkage and linkage disequilibrium QTL mapping in multiple families of maize (Zea mays L.) line crosses highlights complementarities between models based on parental haplotype and single locus polymorphism.Semantic proximity Read ↗

QTLNetwork-MP: integrative mapping of additive, epistatic, and G × E effects for complex traits in multiparent advanced generation intercross populations.Semantic proximity Read ↗

An IBD-based mixed model approach for QTL mapping in multiparental populations.Semantic proximity Read ↗

Modeling of identity-by-descent processes along a chromosome between haplotypes and their genotyped ancestors.Semantic proximity Read ↗

Mapping quantitative trait loci using naturally occurring genetic variance among commercial inbred lines of maize (Zea mays L.).Semantic proximity Read ↗

Accuracy of Genomic Prediction in Synthetic Populations Depending on the Number of Parents, Relatedness, and Ancestral Linkage Disequilibrium.Semantic proximity Read ↗

Strategies for genetic mapping of categorical traits.Semantic proximity Read ↗

Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size.Semantic proximity Read ↗

Joint linkage and linkage disequilibrium mapping of quantitative trait loci in natural populations.Semantic proximity Read ↗

WGNAM: whole-genome nested association mapping.Semantic proximity Read ↗

Identity-by-descent matrix decomposition using latent ancestral allele models.Semantic proximity Read ↗

Contributions of linkage disequilibrium and co-segregation information to the accuracy of genomic prediction.Semantic proximity Read ↗

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