[HTML][HTML] Harnessing extant energy and protein requirement modeling for sustainable beef production
LO Tedeschi - animal, 2023 - Elsevier
Numerous mathematical nutrition models have been developed in the last sixty years to
predict the dietary supply and requirement of farm animals' energy and protein. Although …
predict the dietary supply and requirement of farm animals' energy and protein. Although …
BOARD-INVITED REVIEW: Efficiency of converting digestible energy to metabolizable energy and reevaluation of the California Net Energy System maintenance …
ML Galyean, NA Cole, LO Tedeschi… - Journal of Animal …, 2016 - academic.oup.com
For the past several decades, nutrient requirement systems for beef cattle in North America
have recommended that dietary ME can be calculated as dietary DE× 0.82, but considerable …
have recommended that dietary ME can be calculated as dietary DE× 0.82, but considerable …
A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth
LO Tedeschi, DG Fox, PJ Guiroy - Agricultural Systems, 2004 - Elsevier
A deterministic and mechanistic growth model was developed to dynamically predict growth
rate, accumulated weight, days required to reach target body composition, carcass weight …
rate, accumulated weight, days required to reach target body composition, carcass weight …
ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models …
LO Tedeschi - Journal of animal science, 2019 - academic.oup.com
This paper outlines typical terminology for modeling and highlights key historical and
forthcoming aspects of mathematical modeling. Mathematical models (MM) are mental …
forthcoming aspects of mathematical modeling. Mathematical models (MM) are mental …
ASAS Centennial Paper: Net energy systems for beef cattle—Concepts, application, and future models
CL Ferrell, JW Oltjen - Journal of Animal Science, 2008 - academic.oup.com
Development of nutritional energetics can be traced to the 1400s. Lavoisier established
relationships among O2 use, CO2 production and heat production in the late 1700s, and the …
relationships among O2 use, CO2 production and heat production in the late 1700s, and the …
On supervised learning to model and predict cattle weight in precision livestock breeding
Livestock production efficiency is essential to improve the world food chain in terms of
making meat available to more people and reducing producer costs, while supporting …
making meat available to more people and reducing producer costs, while supporting …
A glimpse of the future in animal nutrition science. 2. Current and future solutions
Despite tremendous advancements in the livestock sector, additional opportunities exist to
improve even further livestock production around the globe. Forecasting is not an exact …
improve even further livestock production around the globe. Forecasting is not an exact …
Research, improvement and application of mechanistic, biochemical, dynamic models of metabolism in lactating dairy cattle
JP McNamara - Animal Feed Science and Technology, 2004 - Elsevier
Models are representations of reality. The fields of nutrition, metabolism and biomedicine
have used models to aid in research and its applications since before World War II. A model …
have used models to aid in research and its applications since before World War II. A model …
Predicting fat cover in beef cattle to make on-farm management decisions: a review of assessing fat and of modeling fat deposition
MJ McPhee - Translational Animal Science, 2024 - academic.oup.com
Demands of domestic and foreign market specifications of carcass weight and fat cover, of
beef cattle, have led to the development of cattle growth models that predict fat cover to …
beef cattle, have led to the development of cattle growth models that predict fat cover to …
A dynamic model as a tool to describe the variability of lifetime body weight trajectories in livestock females
Until now, the development of precision livestock farming has been largely based on data
acquisition automation. The future challenge is to develop interpretative tools to capitalize …
acquisition automation. The future challenge is to develop interpretative tools to capitalize …