B41J:
Advanced Plant Phenotyping for Global Food Security: Lessons Across Measurement Scales from Leaf, to Field, to Remote Sensing I

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Session ID#: 31921

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
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:

Challenges Facing Crop Production And (Some) Potential Solutions (Invited) (291093)
Patrick S Schnable, Iowa State University, Ames, IA, United States
Universal Algorithms for Plant Phenotyping: Are we there yet? (284222)
Vijaya Gopal Kakani, Oklahoma State University, Plant and Soil Sciences, Stillwater, OK, United States, Raja Reddy Kambham, Mississippi State University, Plant and Soil Sciences, Mississippi State, United States, Duli Zhao, USDA-ARS, Sugarcane Field Station, Canal Point, FL, United States, Anserd J Foster, Kansas State University, SW Extension Research Center, Garden City, KS, United States and Prasanna H Gowda, USDA ARS, Bushland, TX, United States
Phenotyping Drought Tolerance and Yield Potential of Warm-Season Legumes Through Field- and Airborne-Based Hyperspectral VSWIR Sensing (294615)
Darren Drewry1, Jorge C Berny-Mier y Teran2, Debsunder Dutta3 and Paul Gepts2, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of California Davis, Department of Plant Sciences, Davis, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Lessons From Paired Data From exPVP Maize Lines in Agronomic Field Trials and RGB And Hyperspectral Time-Series Imaging In Controlled Environments (261243)
James C Schnable1, Piyush Pandey2, Yufeng Ge3, Yuhang Xu2, Yumou Qiu2 and Zhikai Liang2, (1)Organization Not Listed, Washington, DC, United States, (2)University of Nebraska, Lincoln, NE, United States, (3)University of Nebraska Lincoln, Department of Biological Systems Engineering, Lincoln, United States
Genetic and Computational Approaches for Studying Plant Development and Abiotic Stress Responses Using Image-Based Phenotyping (255634)
Malachy Thomas Campbell1, Harkamal Walia1, Alex Grondin1 and Avi Knecht2, (1)University of Nebraska Lincoln, Agronomy, Lincoln, NE, United States, (2)University of Nebraska Lincoln, Lincoln, NE, United States

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