Abstract
Photosynthetic efficiency is increasingly recognized as an integration of plant responses to dynamic environments, establishing the need for data sets from both field trials and controlled environments. A robotic field scanner phenoty** platform at the University of Arizona is equipped with a high-throughput chlorophyll fluorescence imaging system capable of collecting data on field trials for genetic studies of a photosynthetic trait (Fv/Fm). A description of the fluorescence imaging system is provided in addition to methods for measurements across experimental field plots and a test to determine the impact of variable plant heights. The overall focus is on aspects of field applications of a chlorophyll fluorescence imaging system that differ from analogous systems in controlled environments.
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Acknowledgments
The development of methods and tests using the field chlorophyll fluorescence imaging system are the results of a group effort by the larger TERRA-REF project team and especially Tino Dornbusch, Robert Strand, John Huen, Jeffrey Demieville, and Matthew Herritt. This work is part of the TERRA program supported by the Advanced Research Projects Agency-Energy (ARPA-E), US Department of Energy, under Award Number DE-AR0000594. The views and opinions of authors expressed herein do not necessarily state or reflect those of the US government or any agency thereof.
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Newcomb, M., Shakoor, N. (2022). Nighttime Chlorophyll Fluorescence Imaging of Dark-Adapted Plants Using a Robotic Field Phenoty** Platform. In: Lorence, A., Medina Jimenez, K. (eds) High-Throughput Plant Phenoty**. Methods in Molecular Biology, vol 2539. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2537-8_17
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DOI: https://doi.org/10.1007/978-1-0716-2537-8_17
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