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A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

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Ozone-Tolerant Rice for Air-Polluted Environments.

Muhammad Shahedul Alam¹, Mirza Mofazzal Islam², Minh Khue Do¹

¹Department of Agronomy and Crop Physiology, Justus-Liebig-University, Giessen, Germany.

Global Change Biology

|December 8, 2025

Summary

This summary is machine-generated.

Rising ozone levels threaten rice crops and food security. Marker-assisted breeding successfully introduced ozone tolerance QTLs into elite rice varieties, mitigating damage and yield loss in field trials.

Keywords:

air pollution cereals food security molecular breeding plant stress yield losses

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Area of Science:

Agricultural Science
Plant Genetics
Environmental Science

Background:

Tropospheric ozone concentrations are increasing in Asia, particularly Bangladesh.
Elevated ozone levels pose a significant threat to rice production and regional food security.

Purpose of the Study:

To develop ozone-tolerant elite Bangladeshi rice varieties using marker-assisted breeding.
To introgress quantitative trait loci (QTL) for ozone tolerance into high-yielding rice cultivars.

Main Methods:

Crossed donor landrace Kasalath with elite varieties BRRI dhan28 and Binadhan-11.
Utilized marker-assisted backcrossing to generate BC₂F₄ lines with high recipient parent genome recovery.
Evaluated ozone tolerance through controlled open-top-chamber experiments and field trials in a high-ozone environment.

Main Results:

Ozone-tolerant lines showed reduced physiological damage (lipid peroxidation, CO₂ assimilation loss) under ozone stress.
Field trials demonstrated significantly less yield loss in tolerant lines compared to sensitive parents.
Introgression of QTLs maintained desirable agronomic traits of the recipient rice varieties.

Conclusions:

Marker-assisted breeding is effective for enhancing rice tolerance to ozone pollution.
Developed ozone-tolerant rice varieties offer a strategy to safeguard food security amidst changing atmospheric conditions.
This approach provides a robust method for adapting agriculture to environmental challenges.