Identification of a major locus controlling high-temperature tolerance in maize tassels

Abstract Background High-temperature stress severely affects maize production and leads to significant yield losses. Breeding maize varieties with enhanced high-temperature tolerance is an effective strategy to mitigate these adverse effects. Identifying quantitative trait loci (QTLs) and candidate genes associated with heat tolerance is therefore of great importance for maize improvement. Results In this study, a high-temperature-tolerant inbred line PHBA6 and a high-temperature-susceptible line J63 were crossed to develop an F₂ population for initial QTL mapping. Tassel desiccation was used as the phenotypic indicator of heat tolerance. Initial QTL mapping conducted in 2015 and 2016 consistently identified two QTLs: a major QTL, qMd3, on chromosome 3 and a minor QTL, qMd9, on chromosome 9, explaining 10.72% and 5.74% of the phenotypic variance, respectively. Subsequent fine mapping of qMd3 was carried out using advanced-generation recombinant progenies derived from the F₂ population, which progressively narrowed the candidate interval from 59 Mb to 1.2 Mb between the markers KASP029 and KASP032. Conclusions This study identified and refined a major QTL associated with high-temperature tolerance in maize, providing a solid foundation for the subsequent identification and functional characterization of candidate genes, as well as for marker-assisted breeding of heat-tolerant maize varieties.

Authors

Institutions

Publication Details

Journal
BMC Plant Biology
Published
2026-09-22
DOI
https://doi.org/10.1186/s12870-026-09967-9
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Identification of a major locus controlling high-temperature tolerance in maize tassels

Tianyuan Qin, Dengxu Han, Yuping Lv, Abulaiti Abula et al.
BMC Plant Biology
Genetic Mapping and Diversity in Plants and Animals
article

Identification of a major locus controlling high-temperature tolerance in maize tassels

Tianyuan Qin, Dengxu Han, Yuping Lv, Abulaiti Abula, Yanling Guo, Yuan Dong, Jie Yang, Xiaoling Liang, Mingdong Li, Xue Zhang, Qin Yang
article en

Abstract

Abstract Background High-temperature stress severely affects maize production and leads to significant yield losses. Breeding maize varieties with enhanced high-temperature tolerance is an effective strategy to mitigate these adverse effects. Identifying quantitative trait loci (QTLs) and candidate genes associated with heat tolerance is therefore of great importance for maize improvement. Results In this study, a high-temperature-tolerant inbred line PHBA6 and a high-temperature-susceptible line J63 were crossed to develop an F₂ population for initial QTL mapping. Tassel desiccation was used as the phenotypic indicator of heat tolerance. Initial QTL mapping conducted in 2015 and 2016 consistently identified two QTLs: a major QTL, qMd3, on chromosome 3 and a minor QTL, qMd9, on chromosome 9, explaining 10.72% and 5.74% of the phenotypic variance, respectively. Subsequent fine mapping of qMd3 was carried out using advanced-generation recombinant progenies derived from the F₂ population, which progressively narrowed the candidate interval from 59 Mb to 1.2 Mb between the markers KASP029 and KASP032. Conclusions This study identified and refined a major QTL associated with high-temperature tolerance in maize, providing a solid foundation for the subsequent identification and functional characterization of candidate genes, as well as for marker-assisted breeding of heat-tolerant maize varieties.

BMC Plant Biology
North West Agriculture and Forestry University (CN), Xinjiang Academy of Agricultural Sciences (CN), Ministry of Agriculture (ID)
Zero hunger
Openalex Percentile: Top 11%
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.