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Modeling Committee

The function of this group is to serve the animal nutrition research community by improving the use of predictive technologies and tools, to best utilize available platforms, and to work with researchers to effectively share, combine, manage, manipulate, and analyze models and modeling information.

Committee Members

Robin White

Robin White

Chair
Virginia Tech
Nutrition & Mathematical Modeling

Mark D. Hanigan

Mark D. Hanigan

Virginia Tech University
Dairy Nutrition
(540) 231-0967

Mike VandeHaar

Mike VandeHaar

Michigan State University
Dairy Nutrition
(517) 230-7460

Heidi A. Rossow

Heidi A. Rossow

University of California, Davis
Dairy Nutrition Management
(559) 688-1731

Luis O. Tedeschi

Luis O. Tedeschi

Texas A&M University
Ruminant Nutrition
(979) 845-5062

Timothy J. Hackmann

Timothy J. Hackmann

University of California, Davis
Ruminant Nutrition

Peter R. Ferket

Peter R. Ferket

North Carolina State University
Poultry Nutrition
(919) 515-5409

Nathalie Trottier

Nathalie Trottier

Cornell University
Swine Nutrition

Dominique P. Bureau

Dominique P. Bureau

University of Guelph
Aquaculture Nutrition

Edgar O. Oviedo-Rondon

Edgar O. Oviedo-Rondon

North Carolina State University
Poultry Nutrition
(919) 515-5391

Sarah H. White-Springer

Sarah H. White-Springer

Texas A&M University
Equine and Livestock Nutrition, Skeletal Muscle Physiology

Aline Remus

Aline Remus

Agriculture and Agri-Food Canada, Sherbrooke R&D
Swine Precision Feeding and Nutrition

Arthur L. Goetsch

Arthur L. Goetsch

Langston University
Goat/Sheep Nutrition

Hector M. Menendez III

Hector M. Menendez III

South Dakota State University
Ruminant Grazing Systems
(605) 394-2236

Emiliano Raffrenato

Emiliano Raffrenato

RUM&N Consulting, Stellenbosch University
Ruminant Nutrition and Modeling
(33) 832-9053

Todd R. Callaway

Todd R. Callaway

University of Georgia
Ruminant Nutrition, Monogastric and Ruminant Microbiology

Objectives

  • Coordinate with the NRC to support model development and maintenance.
  • Identify needs to achieve a cross-species comprehensive feed database.
  • Develop a database of observed data that could be used for model testing.
  • Develop guidelines for data reporting in publications to better serve nutrient response model development.
  • Provide guidance for future development of nutrient availability models.
  • Identify methods to allow the use of a common software platform across species.
  • Provide guidance regarding deployment of open vs locked model code.

Accomplishments

Software Downloads: Nutrient Requirement Models (Compatible with Windows 7 32-bit and 64-bit machines):

Supportive Documentation for Above Programs: