ASAS-NANP SYMPOSIUM: Mathematical Modeling in Animal Nutrition: Training the Future Generation in Data and Predictive Analytics for Sustainable Development. A Summary of the 2021 and 2022 Symposia

Author:

Tedeschi Luis O1ORCID,Menendez Hector M2ORCID,Remus Aline3

Affiliation:

1. Texas A&M University, Department of Animal Science , College Station, TX 77843-2471 , USA

2. South Dakota State University West River Research and Extension Center , 711 N. Creek Dr. Rapid City, SD, 57701 , USA

3. Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, 2000 College Street , Sherbrooke, QC J1M 1Z3 , Canada

Publisher

Oxford University Press (OUP)

Subject

Genetics,Animal Science and Zoology,General Medicine,Food Science

Reference20 articles.

1. Identifiability and accuracy: Two critical problems associated with the application of models in nutrition and the health sciences;Boston,2007

2. ASAS-NANP symposium: mathematical modeling in animal nutrition: Making sense of big data and machine learning: How open source code can advance precision livestock agriculture;Brennan;J. Anim. Sci,2023

3. ASAS-NANP SYMPOSIUM: Digestion kinetics in pigs: The next step in feed evaluation and a ready-to-use modeling exercise J;Gerrits;Anim. Sci.,2021

4. ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Limitations and potential next steps for modeling and modelers in the animal sciences;Jacobs;J. Anim. Sci.,2022

5. ASAS-NANP symposium: mathematical modeling in animal nutrition: Agent-based modeling for livestock systems: the mechanics of development and application;Kaniyamattam;J. Anim. Sci,2023

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