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

Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize.

BMC plant biology - 16 Jul 2022

Wang Wei, Ren Zhaobin, Li Lu, Du Yiping, Zhou Yuyi, Zhang Mingcai, Li Zhaohu, Yi Fei, Duan Liusheng

Abstract excerpt

BACKGROUND: Low grain water content (GWC) at harvest of maize (Zea mays L.) is essential for mechanical harvesting, transportation and storage. Grain drying rate (GDR) is a key determinant of GWC. Many quantitative trait locus (QTLs) related to GDR and GWC have been reported, however, the confidence interval (CI) of these QTLs are too large and few QTLs has been fine-mapped or even been cloned. Meta-QTL (MQTL)...

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Dehydration

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Edible Grain

Share to Genome-Wide Association Study

Share to Hormones

Share to Quantitative Trait Loci

Share to Zea mays

Source

Open in PubMed Open full text

Identifiers

PMID: 35842577
DOI: 10.1186/s12870-022-03738-y
PMCID: PMC9287936

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.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize.PMID 35842577Read ↗

QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.Semantic proximity Read ↗

The genetic architecture of the dynamic changes in grain moisture in maize.Semantic proximity Read ↗

QTL mapping and GWAS for field kernel water content and kernel dehydration rate before physiological maturity in maize.Semantic proximity Read ↗

Integrating a genome-wide association study with transcriptomic analysis to detect genes controlling grain drying rate in maize (Zea may, L.).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 ↗

QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance.Semantic proximity Read ↗

Meta-analyses of QTL for grain yield and anthesis silking interval in 18 maize populations evaluated under water-stressed and well-watered environments.Semantic proximity Read ↗

Molecular mapping of quantitative trait loci for grain moisture at harvest and field grain drying rate in maize (Zea mays L.).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 ↗

Characterization of correlation between grain moisture and ear rot resistance in maize by QTL meta-analysisSemantic proximity Read ↗

Dissecting the genetic architecture of waterlogging stress-related traits uncovers a key waterlogging tolerance gene in maize.Semantic proximity Read ↗

Mapping of QTL associated with waterlogging tolerance during the seedling stage in maize.Semantic proximity Read ↗

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