Livestock High-Throughput Phenotyping and Big Data Analytics (Livestock HTP and Big Data)

This meeting will provide an opportunity to discuss how cutting-edge methodologies to manage and analyze large diverse livestock data can be applied to the animal sciences. The goal of this meeting is to gather a diverse group of animal scientists in across disciplines to stimulate the livestock research community to expand the use of high-throughput data and develop a vision and strategy to apply these data to production agriculture.

Expected outcomes: A white paper will be developed by working groups.

• About the Livestock HTP and Big Data
• Dates
  November 13-14, 2017
• Venue
  USDA National Agricultural Library
• Program
  Updated preliminary program is available
• Abstracts:
  Guideline: Instructions with an actual example Submission: Online
• Posters
  48 inches (height) x 36 inches (width)
  (Board space to fit: 4 x 3 feet)
• How to attend
  Attend on site or watch the video recordings that will be posted on this web site
• Pre-registration
  No registration fee is required; The pre-registration is necessary for us to have an estimate of the meeting space needed
• Hotels
  A meeting rate has been negotiated at a near-by hotel. Hotel/booking information will be provided upon your registration
• Contact
  Click to email the meeting organizers.

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Program

November 13, 2017 (Monday)
08:00 – 09:00	Registration Open
09:00 – 09:15	Get acquainted
09:15 – 09:30	James Reecy – Iowa State University Welcome Remarks and charge to the audience
09:30 – 10:00	Natalia de Leon – University of Wisconsin-Madison High-Throughput Phenotyping Tools to Increase Breeding Efficiency in Maize
10:00 – 10:30	Santiago Avendano – Aviagen High Throughput Phenotyping in Poultry Breeding
10:30 – 11:00	Coffee break/Posters
11:00 – 11:30	Victor Zavala Tejeda - University of Wisconsin-Madison Optimization of Agricultural Systems: Fusing Data, Models, and Decision-Making
11:30 – 12:00	Raluca Mateescu – University of Florida Challenges and opportunities in closing the phenomic gap in cattle
12:00 – 12:10	Guilherme Rosa – University of Wisconsin-Madison Chair Remarks
12:10 – 13:30	Lunch / Posters Cynthia Parr – National Ag. Library AgDataCommons at the National Agricultural Library
13:30 – 15:00	Breakout Sessions
15:00 – 15:20	Coffee break/Posters
15:20 – 15:50	Lightening talks: Chris Elsik – University of Missouri BovineMine: A Data Mining System for Integrative Analysis Li Ma – University of Maryland Analytics of the large U.S. dairy cattle genomics and phenotype database Brittney Keel – USDA-MARC Incorporating deep learning into the analysis of diverse livestock data JP Steibel – Michigan State University Incorporation of behavioral observation for the estimation of social genetic effects Jennifer Woodward-Greene – USDA-Beltsville Down on the Farm, Getting my Goat … and Nothing else! Jennifer Smith – Medical College of Wisconsin PhenoMiner: a flexible system for standardizing quantitative phenotype data
15:50 – 16:20	Tami Brown-Brandl – USDA-ARS Meat Animal Research Center Using RFID and Depth Images to Record Animal Dimensions and Behavior
16:20 – 16:50	Nora Bello – Kansas State University Data Architecture and Related Considerations for Big Data Analytics
16:50 – 17:00	Recap of the day
November 14, 2017 (Tuesday)
08:00 – 09:00	Registration Open
09:00 – 09:10	Chair Remarks: James Koltes – Iowa State University
09:10 – 09:40	Liang Dong - Iowa State University High-throughput, high-resolution phenotyping platform using low-cost sensors
09:40 – 10:10	John C. Hart - University of Illinois at Urbana-Champaign Data Visualization: from Personal Investigation to Narrative Storytelling
10:10 – 10:20	Peter Johnson - National Institute of Food and Agriculture (NIFA) Stake Holder's Inputs to USDA-NIFA
10:20 – 11:00	Breakout Sessions
11:00 – 11:15	Coffee break
11:15 – 11:25	Chair Remarks: Nick Serao, Iowa State University
11:25 – 12:20	Reports from Breakout sessions – Discussion
12:20 – 12:30	Conclusion and "thank you" to audience Livestock High-Throughput Phenotyping and Big Data Analytics by James Reecy at Genome to Phenome: An USDA Blueprint for Improving Animal Production, November 15-16, 2017, Washington, DC

Last update: January 13, 2018, a 10:28am CST