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Developing functional relationships between waterlogging and cotton growth and physiology-towards waterlogging
Sahila Beegum1,2, Van Truong3, Raju Bheemanahalli3
1Adaptive Cropping System Laboratory, USDA-ARS, Beltsville, MD, United States.
Frontiers in Plant Science
|August 16, 2023
Summary
Waterlogging significantly harms cotton growth, reducing photosynthesis and dry weight. This study quantifies these impacts, developing crucial relationships for improved cotton crop models to predict waterlogging effects.
Area of Science:
- Agricultural Science
- Plant Physiology
- Crop Modeling
Background:
- Cotton is highly susceptible to waterlogging, particularly during early growth stages.
- Accurate crop models require functional relationships between waterlogging duration and crop parameters.
- Limited experimental data exists for developing these essential waterlogging models for cotton.
Purpose of the Study:
- To conduct waterlogging experiments on cotton to establish functional relationships.
- To analyze the impact of varying waterlogging durations on cotton growth and physiology.
- To develop waterlogging stress response indices for improved cotton crop simulation.
Main Methods:
- Pot experiments were conducted with eight waterlogging treatments (0-14 days) initiated at 15 days after sowing.
- Physiological, growth, reproductive, and nutrient analyses were performed after 14 days of treatment.
- Functional relationships (linear, quadratic, exponential decay) were developed between waterlogging duration and measured parameters.
Main Results:
- Physiological parameters declined with increased waterlogging duration; flavonoid and anthocyanin indices increased.
- Continuous waterlogging reduced photosynthesis by 75% and dry weight by 78% compared to control.
- Plant height, leaf area, and nutrient content (macro & micro) were negatively affected by waterlogging.
Conclusions:
- Functional relationships and stress indices were successfully developed for cotton waterlogging.
- These findings provide a foundation for enhancing process-based cotton models.
- Improved modeling capabilities are crucial for simulating and managing waterlogging impacts in cotton production.
Keywords:
cottonfunctional relationshipsmorphologyplant physiologyprocess-based modelswaterloggingwaterlogging stress response indexMore Related Videos
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