水分胁迫
生物系统
特质
环境科学
产量(工程)
适应(眼睛)
生化工程
农业工程
材料科学
生物
计算机科学
农学
工程类
复合材料
程序设计语言
神经科学
作者
Piyush Jain,Weizhen Liu,Siyu Zhu,C. Y. Chang,Jeff Melkonian,Fulton E. Rockwell,Duke Pauli,Ying Sun,Warren R. Zipfel,N. Michèle Holbrook,Susan J. Riha,Michael A. Gore,Abraham D. Stroock
标识
DOI:10.1073/pnas.2008276118
摘要
Significance Gaps in our ability to document local water relations in leaves compromise our ability to build complete models of leaf and plant function and our understanding of ecophysiological phenomena, such as response and adaptation to drought. Macroscopically, leaf water potential has been shown to impact vegetative growth and yield, susceptibility to disease, and, in extreme drought, plant viability, making it a promising candidate trait to improve water-use efficiency in plants. In this paper, we present a nanoscale sensor (AquaDust) that provides minimally disruptive measurements of water potential in leaves of intact plants at high spatial and temporal resolution. This creates opportunities for improving our understanding of the mechanisms coupling variations in water potential to biological and physical processes.
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