High-Throughput Phenotyping of Cereal Crops Under Stress: Unveiling Evapotranspiration and Respiration Patterns

Abstract

Addressing crop responses to drought and nitrogen stress is crucial for improving resilience and ensuring sustainable agriculture under changing climatic conditions. This study investigates the physiological responses of wheat (Videodur [DU], Sensas [SW]) and barley (Tiroler Imperial [SG1], Amidala [SG2]) cultivars to drought and nitrogen stress during early reproductive to full maturity stages (BBCH 70 to 90) using infrared (IR) and visible near-infrared–shortwave infrared (VNIR-SWIR) hyperspectral imaging. Evapotranspiration (ET) and respiration were analyzed as functions of mean plant temperature (Tplant), light intensity, plant water status (indicated by the Normalized Difference Water Index, NDWI), and air humidity. Results revealed that drought stress significantly reduced NDWI and ET while increasing Tplant, with wheat cultivars showing greater sensitivity to water deficit. Barley, particularly SG2, exhibited superior water retention and thermal regulation, highlighting its potential for drought resilience with consistently higher NDWI values and lower Tplant. Temporal analysis identified the reproductive stage as the most vulnerable to stress, with a sharp decline in NDWI and rise in Tplant, emphasizing the need for stage-specific interventions. Regression models explained 74% of ET variance and 67% of respiration variance, underscoring the predictive power of NDWI and Tplant as proxies for plant water status and metabolic activity. Real-time evapotranspiration (ET) measurements using a balance during precision watering further validated the predictive capabilities of NDWI and Tplant. These findings provide valuable insights into growth stage-specific breeding programs and sustainable crop management strategies under environmental stress conditions.

Plant phenotyping relevance

赤外・ハイパースペクトル画像からNDWI、植物温度、蒸発散量、呼吸を推定し、回帰モデルと実測バランスで検証しており、植物ストレス形質の取得・推定ワークフローが中心的である。

Code and data availability

The paper's phenotyping measurements (NDWI, Tplant, ET_balance, respiration) and analysis are described but no public dataset, image, or code repository is provided. The Data Availability Statement directs inquiries to the corresponding author, and the Python script was modified via GPT-4.0 with no deposited URL. Only

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