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

Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 May 2007

Oakey Helena, Verbyla Arūnas P, Cullis Brian R, Wei Xianming, Pitchford Wayne S

Abstract excerpt

A statistical approach for the analysis of multi-environment trials (METs) is presented, in which selection of best performing lines, best parents, and best combination of parents can be determined. The genetic effect of a line is partitioned into additive, dominance and residual non-additive effects. The dominance effects are estimated through the incorporation of the dominance relationship matrix, which is...

Read the complete abstract on PubMed

Topics

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

Share to Inbreeding
Share to Breeding

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Crops, Agricultural

Share to Environment

Share to Genes, Dominant

Share to Hybridization, Genetic

Share to Models, Statistical

Share to Saccharum

Source

Identifiers

PMID: 17426958
DOI: 10.1007/s00122-007-0515-3

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. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials.PMID 17426958Read ↗

Genomic Selection in Multi-environment Crop Trials.Semantic proximity Read ↗

Fully efficient, two-stage analysis of multi-environment trials with directional dominance and multi-trait genomic selection.Semantic proximity Read ↗

Optimizing purebred selection for crossbred performance using QTL with different degrees of dominance.Semantic proximity Read ↗

Genomic Prediction of Pumpkin Hybrid Performance.Semantic proximity Read ↗

Whole-genome analysis of multienvironment or multitrait QTL in MAGIC.Semantic proximity Read ↗

Genomic Model with Correlation Between Additive and Dominance Effects.Semantic proximity Read ↗

Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships.Semantic proximity Read ↗

A stage-wise approach for the analysis of multi-environment trials.Semantic proximity Read ↗

Optimizing Genomic Parental Selection for Categorical and Continuous-Categorical Multi-Trait Mixtures.Semantic proximity Read ↗

Multiple-trait breeding values for parental selection in self-pollinating crops.Semantic proximity Read ↗

Simulation of functional additive and non-additive genetic effects using statistical estimates from quantitative genetic models.Semantic proximity Read ↗

Estimation in a multiplicative mixed model involving a genetic relationship matrix.Semantic proximity Read ↗

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