Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement

These findings provide new genetic insights into the regulation of maize internode proportion and plant architecture, offering potential targets for molecular breeding.

Authors

Institutions

Publication Details

Journal
Genes
Published
2026-01-27
DOI
https://doi.org/10.3390/genes17020141
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement

Hongyu Chen, Keying Wan, Qiankun Xie, Zibo Ding et al.
Genes
Genetic Mapping and Diversity in Plants and Animals
article

Genetic Mapping Identifies Stable QTL and Candidate Genes Regulating Internode Proportion for Maize Plant Architecture Improvement

Hongyu Chen, Keying Wan, Qiankun Xie, Zibo Ding, Geming Guo, Hao Zhang, Xiaoyang Chen, Xueying Li, Dong Ding, Xuehai Zhang, Huiling Xie, Yuehua Zhao, Jihua Tang, Xiaoqian Qiu
article en

Abstract

These findings provide new genetic insights into the regulation of maize internode proportion and plant architecture, offering potential targets for molecular breeding.

GenesVol. 17(2)
Henan Agricultural University (CN)
National Natural Science Foundation of China, Huazhong Agricultural University
Zero hunger
Openalex Percentile: Top 72%
Genetic Mapping and Diversity in Plants and Animals
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.