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

Implementation of the Realized Genomic Relationship Matrix to Open-Pollinated White Spruce Family Testing for Disentangling Additive from Nonadditive Genetic Effects.

G3 (Bethesda, Md.) - 22 Jan 2016

Gamal El-Dien Omnia, Ratcliffe Blaise, Klápště Jaroslav, Porth Ilga, Chen Charles, El-Kassaby Yousry A

Abstract excerpt

The open-pollinated (OP) family testing combines the simplest known progeny evaluation and quantitative genetics analyses as candidates' offspring are assumed to represent independent half-sib families. The accuracy of genetic parameter estimates is often questioned as the assumption of "half-sibling" in OP families may often be violated. We compared the pedigree- vs. marker-based genetic models by analysing...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Genome, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Genotyping Techniques

Share to Models, Genetic

Share to Pollination

Share to Quantitative Trait, Heritable

Source

Open in PubMed Open full text

Identifiers

PMID: 26801647
DOI: 10.1534/g3.115.025957
PMCID: PMC4777135

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

Implementation of the Realized Genomic Relationship Matrix to Open-Pollinated White Spruce Family Testing for Disentangling Additive from Nonadditive Genetic Effects.PMID 26801647Read ↗

Modeling additive and non-additive effects in a hybrid population using genome-wide genotyping: prediction accuracy implications.Semantic proximity Read ↗

Integrating Nonadditive Genomic Relationship Matrices into the Study of Genetic Architecture of Complex Traits.Semantic proximity Read ↗

Accuracy of genomic selection models in a large population of open-pollinated families in white spruce.Semantic proximity Read ↗

Genomic dissection of additive and non-additive genetic effects and genomic prediction in an open-pollinated family test of Japanese larch.Semantic proximity Read ↗

Efficient genomics-based 'end-to-end' selective tree breeding framework.Semantic proximity Read ↗

Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean.Semantic proximity Read ↗

Genomic relationships reveal significant dominance effects for growth in hybrid Eucalyptus.Semantic proximity Read ↗

Assessing non-additive effects in GBLUP model.Semantic proximity Read ↗

Metadata analysis indicates biased estimation of genetic parameters and gains using conventional pedigree information instead of genomic-based approaches in tree breeding.Semantic proximity Read ↗

Genome-Wide Association Studies with a Genomic Relationship Matrix: A Case Study with Wheat and Arabidopsis.Semantic proximity Read ↗

Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations.Semantic proximity Read ↗

Estimating narrow-sense heritability using family data from admixed populations.Semantic proximity Read ↗

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