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 Prediction for Grain Yield and Yield-Related Traits in Chinese Winter Wheat.

International journal of molecular sciences - 17 Feb 2020

Ali Mohsin, Zhang Yong, Rasheed Awais, Wang Jiankang, Zhang Luyan

Abstract excerpt

Genomic selection (GS) is a strategy to predict the genetic merits of individuals using genome-wide markers. However, GS prediction accuracy is affected by many factors, including missing rate and minor allele frequency (MAF) of genotypic data, GS models, trait features, etc. In this study, we used one wheat population to investigate prediction accuracies of various GS models on yield and yield-related traits...

Read the complete abstract on PubMed

Topics

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

Share to Edible Grain
Share to Data Analysis
Share to DNA, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Linkage Disequilibrium

Share to Quantitative Trait Loci

Share to Selection, Genetic

Share to Triticum

Source

Open in PubMed Open full text

Identifiers

PMID: 32079240
DOI: 10.3390/ijms21041342
PMCID: PMC7073225

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic Prediction for Grain Yield and Yield-Related Traits in Chinese Winter Wheat.PMID 32079240Read ↗

A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice.Semantic proximity Read ↗

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

Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat.Semantic proximity Read ↗

Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat.Semantic proximity Read ↗

Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data.Semantic proximity Read ↗

Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat.Semantic proximity Read ↗

Multitrait genomic prediction method in approximate genome-based kernel model.Semantic proximity Read ↗

Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials.Semantic proximity Read ↗

Single- and multi-locus genome-wide association study reveals genomic regions of thirteen yield-related traits in common wheat.Semantic proximity Read ↗

Using genomic prediction with crop growth models enables the prediction of associated traits in wheat.Semantic proximity Read ↗

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

Association and Validation of Yield-Favored Alleles in Chinese Cultivars of Common Wheat (Triticumaestivum L.).Semantic proximity Read ↗

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