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

Uncovering the genetic architecture of biomass yield and related traits in Southern US oat germplasm using genome-wide association study.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 29 May 2026

Adewale Samuel A, Babar Md Ali, Khan Naeem, Acharya Janam Prabhat, McBreen Jordan, Raza Irum, Kunwar Sudip, Signorini Victor Silva, Nandety Raja Sekhar, Fiedler Jason D

Abstract excerpt

KEY MESSAGE: Identification of promising loci associated with biomass yield traits and utilizing them in breeding programs can potentially enhance genetic improvement of oat biomass yield for forage purposes. Biomass yield is a complex trait influenced by several loci with small effects. Leveraging genomic tools for oat biomass yield improvement has the potential to accelerate breeding efforts to improve...

Read the complete abstract on PubMed

Topics

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

Share to Alleles
Share to Avena

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Biomass

Share to Breeding

Share to Crops, Agricultural

Share to Genome, Plant

Share to Genome-Wide Association Study

Share to Linkage Disequilibrium

Source

Identifiers

PMID: 42213143
DOI: 10.1007/s00122-026-05283-w

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Uncovering the genetic architecture of biomass yield and related traits in Southern US oat germplasm using genome-wide association study.PMID 42213143Read ↗

Effectiveness of low-density high-throughput marker platform and easy-to-measure traits for genomic prediction of biomass yield in oat (Avena sativa L.).Semantic proximity Read ↗

Unveiling shared genetic regulators of plant architectural and biomass yield traits in the Sorghum Association Panel.Semantic proximity Read ↗

Genome-wide association studies and prediction of 17 traits related to phenology, biomass and cell wall composition in the energy grass Miscanthus sinensis.Semantic proximity Read ↗

Mapping quantitative trait loci for biomass yield and yield-related traits in lowland switchgrass (Panicum virgatum L.) multiple populations.Semantic proximity Read ↗

Genome-wide association mapping for grain and forage quality traits in a subtropical oat germplasm collection adapted to highland regions of Eastern AfricaSemantic proximity Read ↗

A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton.Semantic proximity Read ↗

An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton.Semantic proximity Read ↗

Genome-wide association study for boll weight in Gossypium hirsutum races.Semantic proximity Read ↗

Genetic architecture and candidate loci associated with growth and yield-related traits in sweet fig banana (Musa acuminata cv Sotoumon, AA).Semantic proximity Read ↗

A GWAS-machine learning framework reveals protein-synthesis pathway signals for yield in Theobroma cacao after population-structure correction.Semantic proximity Read ↗

Integration of machine learning and genome-wide association study to explore the genomic prediction accuracy of agronomic trait in oats (Avena sativa L.).Semantic proximity Read ↗

Selection of oat (Avena sativa L.) drought-tolerant genotypes based on multiple yield-associated traits.Semantic proximity Read ↗

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