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Related Experiment Video

Updated: Jul 17, 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

[Dynamic prediction and evaluation method of maize chilling damage].

Shuqing Ma¹, Yuying Liu, Qi Wang

¹Institute of Meteorological Science of Jilin Province, Changchun, China. jlmsq@mail.jl.cn

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology

|January 11, 2007

Summary

A new method predicts and evaluates chilling damage in maize (Zea mays L.) using a dynamic model and thermal constant theory. This approach helps prevent crop loss in Northeastern China.

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Published on: January 3, 2014

Area of Science:

Agricultural Science
Crop Physiology
Ecological Modeling

Context:

Maize (Zea mays L.) is susceptible to chilling damage, impacting crop emergence and yield, particularly in regions like Northeastern China.
Existing methods for predicting and evaluating chilling damage lack dynamism and comprehensive biological/ecological integration.
Accurate assessment of crop damage is crucial for effective agricultural management and food security.

Purpose:

To develop and validate a dynamic prediction and evaluation method for maize chilling damage.
To improve upon existing dynamic models of maize growth and dry matter accumulation.
To integrate thermal constant theory with biological and ecological principles for damage assessment.

Summary:

An improved dynamic model incorporating new parameters and damage indices was utilized, focusing on relative accumulated temperature for predicting developmental stages and damage.
The method employs dry matter shortage rate to quantify crop loss due to chilling stress.
The developed approach was tested and found to be objective, applicable, and adaptable to different locations in Northeastern China through parameter adjustments.

Impact:

Provides a more objective and applicable tool for predicting and mitigating maize chilling damage.
Facilitates timely agricultural interventions to prevent or alleviate crop losses.
Enhances the resilience of maize cultivation in regions prone to cold stress, supporting regional agricultural productivity.