Dualex植物多酚-叶绿素仪：利用光谱、光合、气体交换和视觉评分数据识别大豆作物中的臭氧胁迫

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Dualex植物多酚-叶绿素仪：利用光谱、光合、气体交换和视觉评分数据识别大豆作物中的臭氧胁迫

发表时间：2022-04-27 10:36:20点击：1100

来源：北京博普特科技有限公司

Dualex是一款源自于法国国家科学院 (CNRS)及巴黎第十一大学技术，由奥地利PESSL公司生产（原法国Force-A公司）开发的新型多功能叶片测量仪。它可同时准确测量叶片的叶绿素含量、叶片表层的类黄酮和花青素含量，适用于植物生理学和农学（如水稻叶绿素浓度，玉米氮素状况，葡萄藤等）相关研究。

其测量对象可以是单子叶植物，双子叶植物或多年生植物。这款设备简单易用，可进行实时和非破坏性测量。由于不需要校准标定和事先的样品制备，测量工作可在实验室或现场完成。此外，该设备在各种温度的和环境光照条件下均可正常使用。系统采用专利设计，光学传感器可进行简单、快速、无损测量叶片中的叶绿素、多酚以及花青素。

Dualex便携式智能气象-叶绿素-花青素-黄酮醇测量仪

摘要

对流层臭氧正在损害作物产量，尽管未来臭氧水平存在不确定性，但大多数模型预测，随着气候变化，21世纪受污染地区的臭氧含量将增加。大豆特别容易受到臭氧的影响，因为它通过气孔进入并破坏光合途径，最终导致点刻、黄化和坏死的视觉症状。在出现视觉症状之前及早发现臭氧损害可能有助于提高作物产量。本研究评估了圣路易斯地区耐臭氧和敏感大豆品种Dwight和Pana的多个地块，并通过一个褪绿和坏死评分系统，通过便携式光合作用系统（Li Cor LI3500-XT）获得的光合和气体交换参数，叶绿素，使用Dualex Scientific估算花青素和黄酮醇含量，并使用便携式光谱辐射计（光谱旋转PSR-3500）获得叶片的光谱特征。研究了每个品种在不同生长阶段的光谱指数和胁迫指示变量之间的相关性，以及褪绿和坏死的视觉评分与光谱指数之间的相关性。生长季初期光合作用参数与光谱指数之间的相关性比生长季后期强，而臭氧损伤的视觉评分与光谱指数之间的相关性则在生长后期强。

Using Spectral, Photosynthetic, Gas Exchange and Visually-Scored Data to Identify Ozone Stress in Soybean Crops

Abstract

Tropospheric ozone is damaging to crop yields and though there is uncertainty in future ozone levels, most models project increases in polluted regions throughout the 21st century as climate changes. Soybean is particularly vulnerable to ozone as it enters through its stomata and damages photosynthetic pathways, eventually leading to visual symptoms of stippling, chlorosis and necrosis. Early detection of ozone damage before visual symptoms are present may help with increasing crop yields. This study evaluates multiple St. Louis area plots of ozone tolerant and sensitive soybean varieties, Dwight and Pana, and examines the relationship between visual damages to plants through a scoring system of chlorosis and necrosis, photosynthetic and gas exchange parameters obtained with a Portable Photosynthesis System (Li-Cor LI3500-XT), chlorophyll, anthocyanin and flavonol content estimated with the Dualex Scientific, and spectral signatures of the leaves obtained with a Portable Spectroradiometer (Spectral Revolution PSR-3500). Correlations between spectral indices and stress indicating variables at various growing stages for each variety are examined as well as correlations between visual scoring of chlorosis and necrosis and spectral indices. Early growing season shows stronger correlations between photosynthesis parameters and spectral indices than late season, while stronger correlations between visual scoring of ozone damage and spectral indices are observed in later growing stages.