High-throughput detection of plant environmental stresses is required for minimizing the reduction in crop yield. Environmental stresses in plants have primarily been validated by the measurements of photosynthesis with gas exchange and chlorophyll fluorescence, which involve complicated procedures. Remote sensing technologies that monitor leaf reflectance in intact plants enable real-time visualization of plant responses to environmental fluctuations. The photochemical reflectance index (PRI), one of the vegetation indices of spectral leaf reflectance, is related to changes in xanthophyll pigment composition. Xanthophyll dynamics are strongly correlated with plant stress because they contribute to the thermal dissipation of excess energy. However, an accurate assessment of plant stress based on PRI requires correction by baseline PRI (PRI_o) in the dark, which is difficult to obtain in the field. In this study, we propose a method to correct the PRI using NPQ_T, which can be measured under light. By this method, we evaluated responses of excess light energy stress under drought in wild watermelon (Citrullus lanatus L.), a xerophyte. Demonstration on the farm, the stress behaviors were observed in maize (Zea mays L.). Furthermore, the stress status of plants and their recovery following re-watering were captured as visual information. These results suggest that the PRI is an excellent indicator of environmental stress and recovery in plants and could be used as a high-throughput stress detection tool in agriculture.

需要对植物环境胁迫进行高通量检测，以最大限度地减少作物产量的下降。植物中的环境压力主要通过气体交换和叶绿素荧光的光合作用测量来验证，这涉及复杂的程序。监测完整植物叶片反射率的遥感技术能够实时显示植物对环境波动的反应。光化学反射指数（PRI）是光谱叶片反射率的植被指数之一，与叶黄素色素成分的变化有关。叶黄素动力学与植物压力密切相关，因为它们有助于多余能量的热耗散。然而，基于 PRI 对植物胁迫的准确评估需要通过基线 PRI (PRI_o ) 在黑暗中，这在野外很难获得。在这项研究中，我们提出了一种使用 NPQ _T来校正 PRI 的方法，该方法可以在光线下测量。通过这种方法，我们评估了旱生植物野生西瓜 ( Citrullus lanatus L.)在干旱条件下对过量光能胁迫的反应。农场示范，在玉米（Zea mays L.）中观察到胁迫行为。此外，植物的胁迫状态及其在重新浇水后的恢复被捕获为视觉信息。这些结果表明 PRI 是植物环境胁迫和恢复的极好指标，可用作农业中的高通量胁迫检测工具。