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Related Experiment Video

Updated: Jun 4, 2026

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

QTL analysis for yield components and kernel-related traits in maize across multi-environments.

Bo Peng¹, Yongxiang Li, Yang Wang

¹Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China, snpengbo20032004@yahoo.com.cn

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik

|February 3, 2011

Summary

This study mapped quantitative trait loci (QTL) for maize yield and kernel traits in two elite inbred lines. Key QTL were identified on multiple chromosomes, offering targets for improving maize breeding.

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Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography

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Published on: October 9, 2018

Area of Science:

Plant genetics
Agricultural science
Maize breeding

Background:

Foundation inbred lines Qi319, Huangzaosi, and Ye478 are crucial for Chinese maize breeding.
Understanding the genetic basis of yield and kernel traits is vital for crop improvement.

Purpose of the Study:

To elucidate the genetic architecture of yield components and kernel-related traits in elite maize inbred lines.
To identify stable quantitative trait loci (QTL) across diverse environments.

Main Methods:

Developed two F(2:3) maize populations from crosses Qi319 × Huangzaosi and Ye478 × Huangzaosi.
Evaluated traits across six environments over two years (2007-2008).
Employed three QTL mapping procedures and correlation analyses to identify and validate QTL.

Main Results:

Detected numerous QTL for eight measured traits in both populations.
Identified seven major QTL on chromosomes 1, 4, 6, 7, 9, and 10, with high stability across environments.
Found significant overlap in QTL on chromosomes 1, 4, and 9 between the two populations.

Conclusions:

Yield components are dependent on kernel-related traits.
Identified chromosomal regions provide valuable targets for marker-assisted selection and map-based cloning in maize breeding.
QTL for kernel traits demonstrated high stability, indicating potential for robust genetic gains.