• Ruminant Nutrition, Texas A&M University , College Station, United States of America
  • Agricultural sustainability, Animal nutrition modelling, Bioinformatics, Cattle production, Ecology, Farming systems, Grazing management , Gut function, Gut microbiology, Mathematical modelling, Microbial ecology, Microbial fermentation, Physiology, Population dynamics, Precision livestock farming, Rumen microbiology, Rumen microbiome , Ruminant nutrition
  • recommender, manager

B.S. in Agronomy Engineer, University of São Paulo, Brazil M.S. in Animal and Forage Sciences, University of São Paulo, Brazil Ph.D. in Animal Science, Cornell University

Professor in the Department of Animal Science and Texas A&M AgriLife Research. Tedeschi received his bachelor’s degree in Agronomy Engineer from the University of São Paulo (Brazil) in 1991, his master’s degree in Animal and Forage Sciences from the University of São Paulo (Brazil) in 1996, and his doctorate in Animal Science from Cornell University (NY) in 2001. Prior to joining Texas A&M University in 2005, Dr. Tedeschi was a Research Associate at Cornell University (NY) from 2002 to 2005.

Tedeschi teaches ANSC 604 Ruminant Nutrition, ANSC 625 Precision Diet Formulation, and ANSC 415/615 Comparative Ruminant Production for undergraduate and graduate students. His research is focused on the integration of scientific knowledge of ruminant nutrition that has been accumulated over the years to solve contemporary problems. This integration is achieved through mathematical modeling, more specifically by adopting the System Dynamics methodology. This modeling methodology is used to build nutrition models and to understand the structure behind complex systems that is responsible for the behavior of the system under different management policies. These nutrition models are being used as valuable tools for solving current and future needs related to environmental pollution and scarcity of resources (i.e., food) through the development of efficient production systems. His areas of interest are energy and nutrient requirements of grazing and feedlot animals, growth biology and bioenergetics, chemical composition and kinetics of fermentation of feeds, modeling and simulation of decision support systems, and evaluation of models (more information at https://animalscience.tamu.edu/people/tedeschi-luis/).

Tedeschi has been an active developer of submodels and contributor to the Cornell Net Carbohydrate and Protein System (CNCPS; http://nutritionmodels.tamu.edu) and the Cattle Value Discovery System (CVDS;http://nutritionmodels.tamu.edu/cvds.html). He has published more than 150 manuscripts in peer-reviewed journals and book chapters, and presented in more than 60 conferences and workshops worldwide on modeling nutrition. He is a permanent member of the Modeling Committee of the National Animal Nutrition Program (NANP; http://nanp-nrsp-9.org/), which was created to integrate and provide a systemic approach for sharing, collecting, assembling, synthesizing, and disseminating science-based knowledge, educational tools, and enabling technologies on animal nutrition that facilitate high-priority research across agricultural species. He also served on a committee at the National Research Council of the National Academy of Sciences to revise the nutrient requirements for beef cattle.

Professional memberships include the American Society of Animal Science, American Dairy Science Association, Brazilian Society of Animal Science, American Registry of Professional Animal Scientists, and the System Dynamics Society.

2 recommendations

article picture
Effects of feeding treatment on growth rate and performance of primiparous Holstein dairy heifers
Yannick Le Cozler, Julien Jurquet, Nicolas Bedere

Recommended by Luis Tedeschi based on reviews by Emilio Mauricio Ungerfeld and 2 anonymous reviewers
Optimizing growth rate of dairy heifers through nutrition to maximize reproduction and production

The idea of altering the growth rate of replacement heifers to improve reproductive and productive indicators of dairy cattle is not new. In the late 1970s, Gill and Allaire [1] indicated that the first parturition between 22.5 to 23.5 months of age yielded the optimum lifetime performance as long as the heifers had adequate body size [2]. Since 1980s, many studies have been conducted to understand the partitioning of energy between growth and lactation, including the impact of growth rates on t...

article picture
Lactation curve model with explicit representation of perturbations as a phenotyping tool for dairy livestock precision farming.
Ben Abdelkrim Ahmed, Puillet Laurence, Gomes Pierre, Martin Olivier

Recommended by Luis Tedeschi based on reviews by Alberto Atzori, Jennifer Spencer and 1 anonymous reviewer
Developing smart fitting algorithms to identify random perturbations in time-series data

The ability to adequately characterize the lactation curve of livestock is important not only to ensure proper nutrition of the lactating animal but, among many other benefits, it can assist in diagnosing the incidence of diseases, predicting the quantity of milk production, and comparing animals within the herd for managerial strategies such as culling. Eventually, such smart fitting algorithms can lead to improved genetic selection of more productive animals after genetic-unrelated noises are ...


0 reviews