Acknowledgements This meeting is made possible by funds from USDA/NIFA FACT initiatives

The organizers wish to thank the National Ag Library for kindly providing the meeting forum

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.

Program

November 13, 2017 (Monday)
08:00 – 09:00Registration Open
09:00 – 09:15Get 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 – 10:30Santiago Avendano – Aviagen
High Throughput Phenotyping in Poultry Breeding
10:30 – 11:00Coffee 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 – 15:00Breakout Sessions
15:00 – 15:20Coffee 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 – 17:00Recap of the day
November 14, 2017 (Tuesday)
08:00 – 09:00Registration 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 – 11:00Breakout Sessions
11:00 – 11:15Coffee break
11:15 – 11:25
Chair Remarks: Nick Serao, Iowa State University
11:25 – 12:20Reports from Breakout sessions – Discussion
12:20 – 12:30Conclusion 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
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