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

Assessing non-additive effects in GBLUP model.

Genetics and molecular research : GMR - 10 May 2017

Vieira I C, Dos Santos J P R, Pires L P M, Lima B M, Gonçalves F M A, Balestre M

Abstract excerpt

Understanding non-additive effects in the expression of quantitative traits is very important in genotype selection, especially in species where the commercial products are clones or hybrids. The use of molecular markers has allowed the study of non-additive genetic effects on a genomic level, in addition to a better understanding of its importance in quantitative traits. Thus, the purpose of this study was to...

Read the complete abstract on PubMed

Topics

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

Share to Epistasis, Genetic
Share to Eucalyptus
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Quantitative Trait, Heritable

Source

Identifiers

PMID: 28510252
DOI: 10.4238/gmr16029632

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Assessing non-additive effects in GBLUP model.PMID 28510252Read ↗

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

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

Genomic studies with preselected markers reveal dominance effects influencing growth traits in Eucalyptus nitens.Semantic proximity Read ↗

Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids.Semantic proximity Read ↗

Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model.Semantic proximity Read ↗

Genomic Studies Reveal Substantial Dominant Effects and Improved Genomic Predictions in an Open-Pollinated Breeding Population of Eucalyptus pellita.Semantic proximity Read ↗

Quantifying genetic and genotypic gain gaps in Eucalyptus: the hidden cost of ignoring inbreeding and dominance.Semantic proximity Read ↗

Marker-assisted prediction of non-additive genetic values.Semantic proximity Read ↗

Integrating genome-wide association mapping of additive and dominance genetic effects to improve genomic prediction accuracy in Eucalyptus.Semantic proximity Read ↗

Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE).Semantic proximity Read ↗

Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits.Semantic proximity Read ↗

Average semivariance directly yields accurate estimates of the genomic variance in complex trait analyses.Semantic proximity Read ↗

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