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Related Experiment Video

Updated: Jan 31, 2026

Inhibition of Aspergillus flavus Growth and Aflatoxin Production in Transgenic Maize Expressing the α-amylase Inhibitor from Lablab purpureus L.

Inhibition of Aspergillus flavus Growth and Aflatoxin Production in Transgenic Maize Expressing the α-amylase Inhibitor from Lablab purpureus L.

Published on: February 15, 2019

Genetic dynamics drive maize growth and breeding.

Chengxiu Wu^1,2, Zedong Geng^1,2, Weikun Li^1,2

¹National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.

|January 30, 2026

Summary

This study reveals the genetic basis of maize growth dynamics using high-throughput phenotyping and genome-wide association studies. Key genes influencing plant architecture and development were identified, aiding predictive breeding strategies.

Keywords:

Breeding design Growth dynamics Image-based traits Maize Temporal genetic regulation Trajectory modeling

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Lateral Root Inducible System in Arabidopsis and Maize

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Lateral Root Inducible System in Arabidopsis and Maize

Lateral Root Inducible System in Arabidopsis and Maize

Published on: January 14, 2016

Area of Science:

Plant genetics
Developmental biology
Quantitative genetics

Background:

Phenotypic diversity in plants is driven by development and genomic variation.
The genetic underpinnings of maize growth dynamics are not well understood.

Purpose of the Study:

To investigate the genetic architecture of maize growth dynamics.
To identify quantitative trait loci (QTLs) and genes controlling growth variation across developmental stages.
To explore the role of temporal genetic regulation in shaping plant architecture.

Main Methods:

Analysis of 679 maize inbred lines with ~2.8 million SNPs.
High-throughput phenotyping capturing over 1 million RGB images across 18 growth stages.
Genome-wide association studies (GWAS) to identify QTLs for 67 image-based traits (i-traits).

Main Results:

Identified 857 QTLs for growth variation, with most being period-specific dynamic QTLs.
Discovered cryptic pleiotropic QTLs suggesting developmental genetic relocations.
Characterized novel gene functions (e.g., BRD1, ZmGalOx1) impacting plant architecture.
Enhanced heritability estimates for mature traits by an average of 6.2%.

Conclusions:

Elucidated the spatial-temporal genetic architecture of maize growth dynamics.
Provided novel insights into developmental rewiring of epistatic networks.
Supported ontogeny-driven predictive breeding strategies for maize improvement.