Modeling Leaf and Crop Water Use Efficiency of Rainfed Cotton

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 Understanding the water use efficiency (WUE) of rainfed cotton is critical for improving yield sustainability under variable climatic conditions. This study focuses on modeling both leaf-level and crop-level WUE by analyzing the complex interactions between environmental factors—such as temperature, solar radiation, humidity, and rainfall patterns—and biophysical drivers like leaf area index, stomatal conductance, and plant growth stage. The research employs mechanistic and data-driven modeling approaches to quantify how these variables collectively influence cotton's ability to convert water into biomass. The results reveal that WUE is highly dynamic and sensitive to the timing and intensity of rainfall, canopy development, and evaporative demand. Enhanced understanding of these interactions can guide the development of management practices and cultivars that optimize water use in rainfed cotton systems, ultimately contributing to more resilient and resource-efficient agriculture in semi-arid and arid regions.

Hashtags:
#CottonWaterUseEfficiency #RainfedAgriculture #LeafWUE #CropModeling #BiophysicalDrivers #EnvironmentalDrivers #SustainableCotton #WaterEfficiency #ClimateSmartAgriculture #AgroecosystemModeling #SoilWaterManagement #RainfedCotton #CropWaterUse #WUEModeling #CottonPhysiology #WaterUseDynamics #AgriculturalSustainability #EcoPhysiology #CropStressResponse #SemiAridFarming




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