Session: Symposium--Processing High-Throughput Data for Statistical Analysis (ASA, CSSA and SSSA International Annual Meetings (2016))

279 Symposium--Processing High-Throughput Data for Statistical Analysis

Oral Session

ASA Section: Biometry and Statistical Computing

Approved for 2.0 CM CEUs

Cosponsor(s):

Bioinformatics in Crops and Soils Community

Tuesday, November 8, 2016: 1:30 PM-3:35 PM

Phoenix Convention Center North, Room 221 C

Community Leader:

Alexander E. Lipka

Organizer:

Maria B. Villamil

1:30 PM

Introductory Remarks

1:35 PM

279-1

A "Big Data" Workflow for Field-Based Plant Phenomics from Ground Vehicles.
Kelly Thorp, USDA-ARS; Alison Thompson, USDA-ARS; Matthew Conley, USDA-ARS; Greg Lohrey, USDA-ARS; John Dyer, USDA-ARS

Audio File Recorded Presentation

2:05 PM

279-2

High-Throughput Phenotyping Approaches for Understanding Gene By Environment Interactions: Lessons Learned from Ionomics and Imaging.
Ivan Baxter, USDA/Danforth Plant Center

Audio File Recorded Presentation

2:35 PM

279-3

Genetic Basis of Stress-Responsive Traits in Cotton Revealed By Next Generation Phenotyping.
William Duke Pauli, Cornell University; Pedro Andrade-Sanchez, University of Arizona; Greg Ziegler, USDA - Donald Danforth Center; Elodie E. Gazare, Cornell University; Andrew N French, USDA ARS ALARC; Ivan Baxter, USDA - Donald Danforth Center; Tim L. Setter, Cornell University; Kelly Thorp, USDA-ARS; Jeffrey W. White, USDA-ARS; Michael A. Gore, Cornell University

Audio File Recorded Presentation

3:05 PM

279-4

Deep Learning for High-Throughput Phenotyping of Complex Traits in Wheat.
Jesse Poland, Kansas State University

3:35 PM

Adjourn

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