Section of Plant Physiology, Faculty of Biology, University of Barcelona, Spain.
Section of Plant Physiology, Faculty of Biology, University of Barcelona, Spain.
Curr Opin Plant Biol. 2018 Oct;45(Pt B):237-247. doi: 10.1016/j.pbi.2018.05.003. Epub 2018 May 28.
Breeding is one of the central pillars of adaptation of crops to climate change. However, phenotyping is a key bottleneck that is limiting breeding efficiency. The awareness of phenotyping as a breeding limitation is not only sustained by the lack of adequate approaches, but also by the perception that phenotyping is an expensive activity. Phenotyping is not just dependent on the choice of appropriate traits and tools (e.g. sensors) but relies on how these tools are deployed on their carrying platforms, the speed and volume of data extraction and analysis (throughput), the handling of spatial variability and characterization of environmental conditions, and finally how all the information is integrated and processed. Affordable high throughput phenotyping aims to achieve reasonably priced solutions for all the components comprising the phenotyping pipeline. This mini-review will cover current and imminent solutions for all these components, from the increasing use of conventional digital RGB cameras, within the category of sensors, to open-access cloud-structured data processing and the use of smartphones. Emphasis will be placed on field phenotyping, which is really the main application for day-to-day phenotyping.
培育是作物适应气候变化的核心支柱之一。然而，表型分析是限制育种效率的关键瓶颈。人们意识到表型分析是一个育种限制，这不仅是因为缺乏足够的方法，还因为人们认为表型分析是一项昂贵的活动。表型分析不仅取决于选择适当的性状和工具（例如传感器），还取决于这些工具在携带平台上的部署方式、数据提取和分析的速度和容量（通量）、空间变异性的处理以及环境条件的描述，最后是如何整合和处理所有信息。经济实惠的高通量表型分析旨在为表型分析管道的所有组成部分提供合理价格的解决方案。本篇综述将涵盖所有这些组件的当前和即将出现的解决方案，从传感器类别中越来越多地使用传统的数字 RGB 摄像机，到开放访问的云结构数据处理以及智能手机的使用。重点将放在田间表型分析上，这实际上是日常表型分析的主要应用。
