[Greenhouse tomato transpiration and its affecting factors: correlation analysis and model simulation]

Area of Science:

• Agricultural Science
• Plant Physiology
• Environmental Science

Context:

• Greenhouse cultivation of tomatoes requires precise management of environmental factors to optimize yield.
• Understanding daily transpiration is crucial for water management and plant health in controlled environments.

Purpose:

• To investigate the correlations between greenhouse tomato daily transpiration and key environmental factors.
• To establish a predictive regression model for daily tomato transpiration.

Summary:

• Significant linear correlations were found between daily transpiration and leaf area, soil moisture, temperature, humidity, and solar radiation.
• Soil relative moisture content (27.4%) and daily minimum relative humidity (-119.7%) were identified as the primary decision and limiting factors, respectively.
• A regression model achieved a coefficient of determination (R2) of 0.81, RMSE of 68.52 g, and RE of 19.4%, indicating good predictive accuracy.

Impact:

• The developed model provides a reliable tool for simulating greenhouse tomato transpiration.
• Findings can inform optimized irrigation strategies, improving water use efficiency in tomato production.
• This research contributes to better understanding plant physiological responses to environmental variables in controlled agriculture.