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

The crop QTLome comes of age.

Current opinion in biotechnology - 1 Apr 2015

Salvi Silvio, Tuberosa Roberto

Abstract excerpt

Recent progress in genomics and phenomics allows for a more accurate and comprehensive characterization of the Quantitative Trait Loci (QTLs)—hereafter defined 'QTLome' as a whole—that govern the variation targeted in breeding programs. High-density genotyping now provides unambiguous identification of QTL alleles, and for several traits beneficial alleles at major QTLs have already been deployed in...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Crops, Agricultural
Share to Genome, Plant

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

Share to Genomics

Share to Genotype

Share to Quantitative Trait Loci

Source

Identifiers

PMID: 25614069
DOI: 10.1016/j.copbio.2015.01.001

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

The crop QTLome comes of age.PMID 25614069Read ↗

Broadening the horizon of crop research: a decade of advancements in plant molecular genetics to divulge phenotype governing genes.Semantic proximity Read ↗

Fine mapping and gene cloning in the post-NGS era: advances and prospects.Semantic proximity Read ↗

Yield QTLome distribution correlates with gene density in maize.Semantic proximity Read ↗

Unveiling core genomic regions shaping plant architecture, productivity, and seed quality traits in sesame (Sesamum indicum L.): insights from Meta-QTL study into breeding targets.Semantic proximity Read ↗

Genetical genomics: spotlight on QTL hotspots.Semantic proximity Read ↗

Accelerating genetic gain through integrated genomic selection in crop plants.Semantic proximity Read ↗

Multi-Trait Meta-QTL Analysis Reveals Genomic Hotspot Classes for Strategic Maize ImprovementSemantic proximity Read ↗

QTL mapping using high-throughput sequencing.Semantic proximity Read ↗

Promises and challenges of crop translational genomics.Semantic proximity Read ↗

Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives.Semantic proximity Read ↗

CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops.Semantic proximity Read ↗

Meta-QTL analysis in wheat: progress, challenges and opportunities.Semantic proximity Read ↗

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