Advances in field-based high-throughput photosynthetic phenotyping.
Advances in field-based high-throughput photosynthetic phenotyping.
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DOI：
10.1093/jxb/erac077
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发表时间：
2022-05-23
影响因子：
6.9
通讯作者：
中科院分区：
文献类型：
--
作者：
光合作用的高通量表型分析对于持续提高作物产量至关重要。我们回顾了基于远程和近端传感的表型技术，并概述了光合作用高通量表型分析面临的教训、挑战和机遇。气体交换技术彻底改变了植物研究和先进的理解，包括从细胞到生态系统尺度的光合作用、光呼吸和植物呼吸的相关通量和效率。这些技术仍然是推断光合作用速率和基础生理学/生物化学的黄金标准，尽管它们在光合作用高通量表型分析 (HTP) 中的效用受到可用气体交换系统数量和可操作设备的人员数量的限制。遥感技术长期以来一直用于以粗略的空间和时间分辨率评估生态系统生产力，传感器技术的进步与先进的统计技术相结合，将遥感工具扩展到更精细的空间尺度，并增加了可提取表型的数量和复杂性。在这篇综述中，我们概述了植物科学界感兴趣的光合作用表型，并描述了高通量技术的进展，以在空间尺度上表征光合作用，有助于推断田间实验或育种试验中的处理或基因型变异。我们将通过介绍迄今为止通过近端/遥感测量的开发和应用以及随附的统计分析所吸取的六个经验教训来实现这一目标。最后，我们将概述我们认为当前光合作用 HTP 面临的限制、瓶颈和机遇。
High-throughput phenotyping of photosynthesis is critical to continued improvements in crop yield. We review remote and proximal sensing-based phenotyping techniques and outline lessons, challenges, and opportunities facing photosynthesis high-throughput phenotyping. Gas exchange techniques revolutionized plant research and advanced understanding, including associated fluxes and efficiencies, of photosynthesis, photorespiration, and respiration of plants from cellular to ecosystem scales. These techniques remain the gold standard for inferring photosynthetic rates and underlying physiology/biochemistry, although their utility for high-throughput phenotyping (HTP) of photosynthesis is limited both by the number of gas exchange systems available and the number of personnel available to operate the equipment. Remote sensing techniques have long been used to assess ecosystem productivity at coarse spatial and temporal resolutions, and advances in sensor technology coupled with advanced statistical techniques are expanding remote sensing tools to finer spatial scales and increasing the number and complexity of phenotypes that can be extracted. In this review, we outline the photosynthetic phenotypes of interest to the plant science community and describe the advances in high-throughput techniques to characterize photosynthesis at spatial scales useful to infer treatment or genotypic variation in field-based experiments or breeding trials. We will accomplish this objective by presenting six lessons learned thus far through the development and application of proximal/remote sensing-based measurements and the accompanying statistical analyses. We will conclude by outlining what we perceive as the current limitations, bottlenecks, and opportunities facing HTP of photosynthesis.
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