根Bot:高通量根压表型化机器人
Mia Ruppel1, Sven K Nelson2,3, Grace Sidberry4
1Department of Biomedical, Biological, and Chemical Engineering University of Missouri Columbia Missouri USA.
Applications in plant sciences
|December 18, 2023
概括
一个自动化机器人RootBot通过在模拟干燥土壤中表型根生长来简化作物干旱压力研究. 这项技术有助于了解干旱耐受性,并确定改善作物的目标.
科学领域:
- 农业科学 农业科学
- 植物生物学 植物生物学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 全球气温的上升加剧了干旱的频率和严重程度,影响了作物产量和粮食安全.
- 在干燥的土壤中维护根系对于植物的生存至关重要,但由于它们的地下性质,根系表型是具有挑战性的.
研究的目的:
- 介绍RootBot,一个自动化的高通量表型机器人,旨在克服在干旱条件下研究根生长的挑战.
- 详细介绍使用RootBot进行对初级根的干旱压力研究的方法和结果.
主要方法:
- RootBot使用充满土壤和聚乙烯糖醇 (PEG) 的透明板模拟干旱条件,以模拟土壤低湿度.
- 一个带有垂直槽的门架系统可以同时对50多个板进行高通量评估.
- 为成像,数据组织和分析开发了定制的软件管道.
主要成果:
- RootBot显著减少了与对初级根的干旱压力研究相关的时间和困难.
- 该平台可以在模拟干旱条件下实现根生长的自动化,高通量表型化.
结论:
- 根Bot平台为研究植物根的干旱耐受机制提供了宝贵的资源.
- 从RootBot设计和测试中吸取的经验教训可以确定作物育种和基因工程的目标,以提高抗旱能力.
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