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

Genomic selection in a commercial winter wheat population.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Mar 2016

He Sang, Schulthess Albert Wilhelm, Mirdita Vilson, Zhao Yusheng, Korzun Viktor, Bothe Reiner, Ebmeyer Erhard, Reif Jochen C, Jiang Yong

Abstract excerpt

KEY MESSAGE: Genomic selection models can be trained using historical data and filtering genotypes based on phenotyping intensity and reliability criterion are able to increase the prediction ability. We implemented genomic selection based on a large commercial population incorporating 2325 European winter wheat lines. Our objectives were (1) to study whether modeling epistasis besides additive genetic effects...

Read the complete abstract on PubMed

Topics

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

Share to Agriculture
Share to Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Genotype

Share to Models, Genetic

Share to Reproducibility of Results

Share to Selection, Genetic

Share to Triticum

Source

Identifiers

PMID: 26747048
DOI: 10.1007/s00122-015-2655-1

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

Genomic selection in a commercial winter wheat population.PMID 26747048Read ↗

Integrating genomic predictions into an applied Central European wheat breeding program.Semantic proximity Read ↗

Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program.Semantic proximity Read ↗

Accuracy of genomic selection for grain yield and agronomic traits in soft red winter wheat.Semantic proximity Read ↗

Genomic selection in wheat: optimum allocation of test resources and comparison of breeding strategies for line and hybrid breeding.Semantic proximity Read ↗

Predicting Hybrid Performances for Quality Traits through Genomic-Assisted Approaches in Central European Wheat.Semantic proximity Read ↗

Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico.Semantic proximity Read ↗

Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model.Semantic proximity Read ↗

Genomic Prediction from Multi-Environment Trials of Wheat Breeding.Semantic proximity Read ↗

Genomic prediction of agronomic traits in wheat using different models and cross-validation designs.Semantic proximity Read ↗

Genomic selection for multi-trait crop improvement in wheat (Triticum aestivum L.): a practical modeling approach.Semantic proximity Read ↗

Genomic assisted selection for enhancing line breeding: merging genomic and phenotypic selection in winter wheat breeding programs with preliminary yield trials.Semantic proximity Read ↗

Improving wheat grain yield genomic prediction accuracy using historical data.Semantic proximity Read ↗

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