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 models for morpho-phenological traits in durum wheat based on Vrn, Ppd, and Rht alleles.

The plant genome - 1 Dec 2025

Puglisi Damiano, Afshari-Behbahanizadeh Sanaz, Angione Giuseppina, Colella Ida, Fania Fabio, Spadanuda Patrizio, Esposito Salvatore, De Vita Pasquale

Abstract excerpt

Genetic variations in vernalization (Vrn), photoperiod (Ppd), and reduced plant height (Rht) genes significantly influence durum wheat adaptability. However, the systematic integration of these functional alleles into genomic prediction (GP) models has been limited. This study identified genetic markers associated with heading date (HD), flowering time (FT), and plant height (PH) via genome-wide association study...

Read the complete abstract on PubMed

Topics

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

Share to Alleles
Share to Genes, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Plant

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Photoperiod

Share to Quantitative Trait Loci

Share to Triticum

Source

Open in PubMed Open full text

Identifiers

PMID: 41257385
DOI: 10.1002/tpg2.70072
PMCID: PMC12628358

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic prediction models for morpho-phenological traits in durum wheat based on Vrn, Ppd, and Rht alleles.PMID 41257385Read ↗

Integrating biophysical crop growth models and whole genome prediction for their mutual benefit: a case study in wheat phenology.Semantic proximity Read ↗

A genome-wide association study of 23 agronomic traits in Chinese wheat landraces.Semantic proximity Read ↗

A multiparental cross population for mapping QTL for agronomic traits in durum wheat (Triticum turgidum ssp. durum).Semantic proximity Read ↗

Improving genomic prediction in wheat with random regression models with genotype-specific phenology-driven environmental covariates.Semantic proximity Read ↗

Gene-based model to predict heading date in wheat based on allelic characterization and environmental drivers.Semantic proximity Read ↗

Allelic Variation in Developmental Genes and Effects on Winter Wheat Heading Date in the U.S. Great Plains.Semantic proximity Read ↗

Univariate and multivariate genomic prediction for agronomic traits in durum wheat under two field conditions.Semantic proximity Read ↗

Characterizing the oligogenic architecture of plant growth phenotypes informs genomic selection approaches in a common wheat population.Semantic proximity Read ↗

Population structure, allelic variation at Rht-B1 and Ppd-A1 loci and its effects on agronomic traits in Argentinian durum wheat.Semantic proximity Read ↗

Genetic characterization of the wheat association mapping initiative (WAMI) panel for dissection of complex traits in spring wheat.Semantic proximity Read ↗

A three-component system incorporating Ppd-D1, copy number variation at Ppd-B1, and numerous small-effect quantitative trait loci facilitates adaptation of heading time in winter wheat cultivars of worldwide origin.Semantic proximity Read ↗

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

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