B42A:
Advanced Plant Phenotyping for Global Food Security: Lessons Across Measurement Scales from Leaf, to Field, to Remote Sensing II

Submit an Abstract to this Session



Session ID#: 35320

Session Description:
Novel approaches are being developed to quantify agriculturally important plant traits using image based technologies across scales such as high-throughput plant phenotyping platforms. The platforms offer the opportunity to integrate proximal remote sensing of intricate morphological and functional characteristics of plants in the quest to link optical plant characteristics to genomic expression to optimize yields, achieve crop efficiencies, understand resistance to stresses, and develop biomass for bioenergy and other valuable applications.

One of the major challenges associated with this emerging approach is the transferability of traits between measurement scales ranging from chamber and greenhouse based imaging, field towers and UAVs, to aircrafts and satellites. This session is designed to bridge research efforts and techniques across scales into more vertically integrated approaches. We invite speakers from diverse backgrounds and disciplines to share their findings, challenges and potential solutions associated with identification of important optical traits in plants across scales and techniques.

Primary Convener:  Tala Awada, University of Nebraska Lincoln, Lincoln, United States
Convener:  George G Burba, LI-COR, Lincoln, United States; CarboDew CoP, Lincoln/Boulder, United States
Chairs:  Tala Awada, University of Nebraska-Lincoln, Agricultural Research Division, Lincoln, NE, United States and George G Burba, CarboDew CoP, Lincoln/Boulder, United States
OSPA Liaison:  Tala Awada, University of Nebraska-Lincoln, Agricultural Research Division, Lincoln, NE, United States

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0422 Bio-optics [BIOGEOSCIENCES]
0465 Microbiology: ecology, physiology and genomics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Plant trait detection with multi-scale spectrometry (Invited) (288459)
John Arthur Gamon, University of Alberta, Dept. of Earth and Atmospheric Sciences, Edmonton, AB, Canada and Ran Wang, University of Nebraska - Lincoln, School of Natural Resources, Lincoln, NE, United States
TERRA REF: Advancing phenomics with high resolution, open access sensor and genomics data (297763)
David LeBauer1,2, Rob Kooper3, Max Burnette4, Craig Willis2 and TERRA REF, (1)University of Illinois at Urbana Champaign, Institute for Genomic Biology, Urbana, IL, United States, (2)National Center for Supercomputing Applications, Urbana, IL, United States, (3)National Center for Super Computing Applications, Urbana, United States, (4)University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, United States
Chlorophyll fluorescence is a rigorous, high throughput tool to analyze the impacts of genotype, species, and stress on plant and ecosystem productivity (299991)
Brent E Ewers1, Jonathan R Pleban2, T. Aston3, Daniel Patrick Beverly4, Heather Nicole Speckman5, Atefeh Hosseini6, Mario Bretfeld7, Christy Edwards8, Yulia Yarkhunova9, C. Weinig3 and David Scott Mackay10, (1)University of Wyoming, Botany, Laramie, United States, (2)University at Buffalo, Buffalo, NY, United States, (3)University of Wyoming, Botany, Laramie, WY, United States, (4)Indiana University Bloomington, Bloomington, IN, United States, (5)University of Wyoming, WyCEHG, Laramie, WY, United States, (6)University of Hohenheim, Stuttgart, Germany, (7)Organization Not Listed, Washington, DC, United States, (8)Missouri Botanical Garden, St Louis, MO, United States, (9)University of Wyoming, Laramie, United States, (10)University at Buffalo, Department of Geography, Buffalo, NY, United States
Plant Phenotyping through the Eyes of Complex Systems: Theoretical Considerations (298447)
Joon Kim, Seoul National University, Department of Landscape Architecture & Rural Systems Engineering, Future Earth Program in Asia Center, Interdisciplinary Program in Agricultural and Forest Meteorology, Institute of Green Bio Science and Technology, Seoul, South Korea
A Pipeline for 3D Digital Optical Phenotyping Plant Root System Architecture (301235)
Tyler W Davis1, Nathanael M. Shaw2, David J Schneider2, Jon E. Shaff2, Brandon G Larson3, Eric J Craft4, Zhigang Liu5, Leon V. Kochian2 and Miguel A. Piñeros6, (1)National Energy Technology Laboratory Pittsburgh, Pittsburgh, United States, (2)Robert W. Holley Center for Agriculture and Health, USDA-Agricultural Research Service, Ithaca, NY, United States, (3)USDA Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, United States, (4)USDA ARS, Robert W. Holley Center for Agriculture and Health, Ithaca, United States, (5)Cornell University, Ithaca, NY, United States, (6)Cornell University, School of Integrative Plant Science, Ithaca, United States

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