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

QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 26 Sept 2024

Jin Xining, Zhang Xiaoxiang, Wang Pingxi, Liu Juan, Zhang Huaisheng, Wu Xiangyuan, Song Rui, Fu Zhiyuan, Chen Shilin

Abstract excerpt

KEY MESSAGE: This study mapped and screened three candidate genes related to kernel dehydration in maize. The slow development rate of maize kernels during later stages leads to high kernel moisture content at harvest, posing a challenge for mechanized maize harvesting in China. This study utilized a recombinant inbred line population derived from Zheng 58 (slow dehydration) and PH6WC (fast dehydration) as...

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 Genes, Plant

Share to Phenotype

Share to Plant Breeding

Share to Quantitative Trait Loci

Share to Zea mays

Source

Identifiers

PMID: 39325221
DOI: 10.1007/s00122-024-04715-9

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.PMID 39325221Read ↗

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

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.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 ↗

The genetic architecture of the dynamic changes in grain moisture 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 ↗

A combination of QTL mapping and genome‑wide association study revealed key genes for heat tolerance in maize.Semantic proximity Read ↗

Combined linkage mapping and association analysis reveals genetic control of maize kernel moisture content.Semantic proximity Read ↗

Transcriptome Analysis of Tolerant and Susceptible Maize Genotypes Reveals Novel Insights about the Molecular Mechanisms Underlying Drought Responses in Leaves.Semantic proximity Read ↗

Function Analysis of a Maize Endo-1,4-β-xylanase Gene ZmHSL in Response to High-Temperature Stress.Semantic proximity Read ↗

First steps to understand heat tolerance of temperate maize at adult stage: identification of QTL across multiple environments with connected segregating populations.Semantic proximity Read ↗

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

Molecular and physiological approaches to maize improvement for drought tolerance.Semantic proximity Read ↗

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