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Developing Functional Relationships between Soil Waterlogging and Corn Shoot and Root Growth and Development.

Charles Hunt Walne¹, K Raja Reddy¹

¹Department of Plant and Soil Sciences, 117 Dorman Hall, Box 9555, Mississippi State University, Mississippi State, MS 39762, USA.

Plants (Basel, Switzerland)

|October 23, 2021

Summary

Waterlogging significantly reduces corn growth, with whole-plant dry weight declining after just two days. Root forks were the most sensitive indicator, showing an 80% decline after 14 days of waterlogging.

Keywords:

corn flooding functional relationships maize modeling root growth shoot growth waterlogging

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

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Area of Science:

Agricultural Science
Plant Physiology
Agronomy

Background:

Waterlogging negatively impacts crop yield and potential.
Corn (Zea mays) is susceptible to adverse effects of soil saturation.
Understanding waterlogging effects is crucial for crop management.

Purpose of the Study:

To investigate the morphological and physiological responses of corn to varying waterlogging durations.
To quantify the impact of waterlogging on corn growth parameters at the V2 stage.
To identify sensitive indicators of waterlogging stress in corn.

Main Methods:

Two experiments were conducted using pot cultures with two corn hybrids.
Waterlogging treatments ranged from 0 to 14 days, imposed at the V2 growth stage.
Morphological data (plant height, leaf number, dry weight, leaf area, root volume, root forks) and pigment estimation were collected.

Main Results:

Soil oxygen levels rapidly decreased under waterlogging, recovering within two days of treatment cessation.
Whole-plant dry weight, leaf area, and root volume exhibited exponential decay with increased waterlogging duration.
Leaf number and plant height showed linear declines, while root forks were the most sensitive parameter, declining significantly after 14 days.

Conclusions:

Corn growth and development are significantly impaired by waterlogging durations as short as two days.
Different plant parts exhibit varying sensitivity to waterlogging stress.
The generated functional relationships can improve corn simulation models for predicting field performance under waterlogged conditions.