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

Topics Community

Article

Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.

International journal of molecular sciences - 5 Feb 2024

Sahito Javed Hussain, Zhang Hao, Gishkori Zeeshan Ghulam Nabi, Ma Chenhui, Wang Zhihao, Ding Dong, Zhang Xuehai, Tang Jihua

Abstract excerpt

Genome-wide association studies (GWAS) have emerged as a powerful tool for unraveling intricate genotype-phenotype association across various species. Maize (Zea mays L.), renowned for its extensive genetic diversity and rapid linkage disequilibrium (LD), stands as an exemplary candidate for GWAS. In maize, GWAS has made significant advancements by pinpointing numerous genetic loci and potential genes associated...

Topics

Genome-Wide Association Study
Zea mays
Quantitative Trait Loci
Plant Breeding
Phenotype
Polymorphism, Single Nucleotide

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 38339196
DOI: 10.3390/ijms25031918
PMCID: PMC10855973

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.PMID 38339196Read ↗

Genomic, Transcriptomic, and Phenomic Variation Reveals the Complex Adaptation of Modern Maize Breeding.Semantic proximity Read ↗

Decades' progress and prospects on maize functional genomics and molecular breeding.Semantic proximity Read ↗

Genome-wide association study reveals the genetic architecture of drought tolerance in maize using yield-based resistance indices and transcriptomic evidence.Semantic proximity Read ↗

Genome-wide association study dissects yield components associated with low-phosphorus stress tolerance in maize.Semantic proximity Read ↗

Entering the second century of maize quantitative genetics.Semantic proximity Read ↗

Genome-wide selection and genetic improvement during modern maize breeding.Semantic proximity Read ↗

Genome-wide association studies of grain quality traits in maize.Semantic proximity Read ↗

Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize (Zea mays L.).Semantic proximity Read ↗

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

A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize.Semantic proximity Read ↗

Estimating the genetic parameters of yield-related traits under different nitrogen conditions in maize.Semantic proximity Read ↗

Genome-wide association study identifies key loci and candidate genes for maize grain yield-related traits.Semantic proximity Read ↗

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