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Updated: May 2, 2026

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
Published on: March 28, 2025
Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments
Ying Liu1, Liwei Wang, Chuanlong Sun
1National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Researchers identified twelve major quantitative trait loci (QTL) in five clusters for maize kernel size and weight. These findings offer promising avenues for marker-assisted breeding and enhancing maize yield.
Area of Science:
- Plant Genetics
- Agricultural Science
- Maize Breeding
Background:
- Kernel size and weight are crucial traits for maize (Zea mays L.) breeding programs.
- Understanding the genetic control of these traits is essential for crop improvement.
Purpose of the Study:
- To identify quantitative trait loci (QTL) influencing maize kernel size (length, width, thickness) and weight.
- To analyze the genetic architecture and identify stable QTL for breeding applications.
Main Methods:
- Utilized composite interval mapping (CIM) for single-environment and joint analyses.
- Employed 270 F2:3 families derived from a cross between large (V671) and small (Mc) kernel maize lines.
- Analyzed data across five environments to identify QTL and their interactions.
Main Results:
- Identified a total of 55 QTL via single-environment analysis and 28 QTL via joint analysis.
- Discovered twelve stable major QTL, clustered in five regions, explaining over 10% of phenotypic variation.
- Observed that additive and partial dominance effects significantly influence kernel development.
Conclusions:
- Identified twelve major QTL in five clusters and several epistatic QTL for maize kernel traits.
- These QTL are promising for fine-mapping and improving maize kernel size and weight via marker-assisted breeding.
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