Consulta: creatorFacets:"Fox,Danny Gene"
Registros recuperados: 5
Data/hora: 13/06/2024 09:36:39

A nutrition mathematical model to account for dietary supply and requirements of energy and nutrients for domesticated small ruminants: the development and evaluation of the Small Ruminant Nutrition System
Provedor de dados: 96
Autores: Tedeschi,Luis Orlindo; Cannas,Antonello; Fox,Danny Gene.
A mechanistic model that predicts nutrient requirements and biological values of feeds for sheep (Cornell Net Carbohydrate and Protein System; CNCPS-S) was expanded to include goats and the name was changed to the Small Ruminant Nutrition System (SRNS). The SRNS uses animal and environmental factors to predict metabolizable energy (ME) and protein, and Ca and P requirements. Requirements for goats in the SRNS are predicted based on the equations developed for CNCPS-S, modified to account for specific requirements of goats, including maintenance, lactation, and pregnancy requirements, and body reserves. Feed biological values are predicted based on carbohydrate and protein fractions and their ruminal fermentation rates, forage, concentrate and liquid...
Tipo: Info:eu-repo/semantics/article
Ano: 2008
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982008001300020

A glimpse of the future in animal nutrition science. 2. Current and future solutions
Provedor de dados: 96
Autores: Tedeschi,Luis Orlindo; Fonseca,Mozart Alves; Muir,James Pierre; Poppi,Dennis P.; Carstens,Gordon E.; Angerer,Jay P.; Fox,Danny Gene.
ABSTRACT Despite tremendous advancements in the livestock sector, additional opportunities exist to improve even further livestock production around the globe. Forecasting is not an exact science and it relies heavily on past and current knowledge. Improvements in the nutritional sciences (both human and animal) include a better understanding of agents that cause deterioration of human health, improving the quality of animal products, applying effective fetal programming, developing new feeds and feeding strategies, and revisiting longstanding technologies. Improvements in the understanding of the rumen microbiome will enable scientists to increase the fermentation efficiency and, hopefully, select microbial species of greater interest. Improvements in...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Forecasting; Livestock; Ruminant; Solutions; Production; Vision.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000500452

Models of protein and amino acid requirements for cattle
Provedor de dados: 96
Autores: Tedeschi,Luis Orlindo; Fox,Danny Gene; Fonseca,Mozart Alves; Cavalcanti,Luigi Francis Lima.
Protein supply and requirements by ruminants have been studied for more than a century. These studies led to the accumulation of lots of scientific information about digestion and metabolism of protein by ruminants as well as the characterization of the dietary protein in order to maximize animal performance. During the 1980s and 1990s, when computers became more accessible and powerful, scientists began to conceptualize and develop mathematical nutrition models, and to program them into computers to assist with ration balancing and formulation for domesticated ruminants, specifically dairy and beef cattle. The most commonly known nutrition models developed during this period were the National Research Council (NRC) in the United States, Agricultural...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Modeling; Nutrition; Prediction; Ruminants; Simulation.
Ano: 2015
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982015000300109

Mathematical models in ruminant nutrition
Provedor de dados: 63
Autores: Tedeschi,Luís Orlindo; Fox,Danny Gene; Sainz,Roberto Daniel; Barioni,Luís Gustavo; Medeiros,Sérgio Raposo de; Boin,Celso.
Mathematical models can be used to improve performance, reduce cost of production, and reduce nutrient excretion by accounting for more of the variation in predicting requirements and feed utilization in each unique production situation. Mathematical models can be classified into five or more categories based on their nature and behavior. Determining the appropriate level of aggregation of equations is a major problem in formulating models. The most critical step is to describe the purpose of the model and then to determine the appropriate mix of empirical and mechanistic representations of physiological functions, given development and evaluation dataset availability, inputs typically available and the benefits versus the risks of use associated with...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Cattle; Feeding; Nutrient; Requirement; Supply.
Ano: 2005
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000100015

Development and evaluation of a tropical feed library for the Cornell Net Carbohydrate and Rrotein System model
Provedor de dados: 63
Autores: Tedeschi,Luís Orlindo; Fox,Danny Gene; Pell,Alice N.; Lanna,Dante Pazzanese Duarte; Boin,Celso.
The Cornell Net Carbohydrate and Protein System (CNCPS) model has been increasingly used in tropical regions for dairy and beef production. However, the lack of appropriate characterization of the feeds has restricted its application. The objective of this study was to develop and evaluate a feed library containing feeds commonly used in tropical regions with characteristics needed as inputs for the CNCPS. Feed composition data collected from laboratory databases and from experiments published in scientific journals were used to develop this tropical feed library. The total digestible nutrients (TDN) predicted at 1x intake of maintenance requirement with the CNCPS model agreed with those predicted by the Weiss et al. (1992) equation (r² of 92.7%, MSE of...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: CNCPS; Evaluation; Feed library; Tropical feeds.
Ano: 2002
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162002000100001