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Detecting nutrient deficiency in plant systems using synchrotron Fourier-transform infrared microspectroscopy

机译:使用同步加速器傅里叶变换红外光谱法检测植物系统中的营养缺乏

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摘要

By 2050, it is estimated that the global population will have surpassed 9 billion people, presenting a significant challenge with regards to food security. In order to provide sufficient quantities of nutritious food in the future, it is necessary to improve agricultural productivity by up to 70%. Nutrient deficiencies are one particular threat to food security that can have a negative impact on crop yield and quality. Currently the standard agricultural approach to prevention is to supply an excess of macronutrient fertiliser, such as nitrate or phosphate, during crop production. However, the efficiency of this approach is poor as deficiencies of specific nutrients, such as Ca, are not prevented in this circumstance, and fertiliser use is associated with a host of adverse environmental impacts. Herein, we describe a novel method to detect Ca deficiency using synchrotron radiation-based Fourier-transform infrared (FTIR) microspectroscopy in live and fixed tissue of the model plant Commelina communis, as a precursor to targeted nutrient remediation in the field.
机译:据估计,到2050年,全球人口将超过90亿,这对粮食安全构成了重大挑战。为了将来提供足够数量的营养食品,有必要将农业生产率提高多达70%。营养不足是对粮食安全的一种特殊威胁,可能对作物的产量和质量产生负面影响。当前,标准的农业预防方法是在作物生产过程中提供过量的大量营养素肥料,例如硝酸盐或磷酸盐。但是,这种方法的效率很差,因为在这种情况下无法防止特定营养素(例如Ca)的缺乏,并且肥料的使用会带来一系列不利的环境影响。在这里,我们描述了一种新的方法,用于在模型植物Commelina communis的活体和固定组织中,使用基于同步加速器辐射的傅立叶变换红外(FTIR)显微技术检测钙的缺乏,以此作为该领域靶向营养修复的先驱。

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