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Methodologies for modelling energy and amino acid responses in poultry R. Bras. Zootec.
Gous,Robert Mervyn.
The objective of this paper is to present some of the issues faced by those whose interest is to predict responses in poultry, concentrating mainly on those related to the prediction of voluntary food intake, as this should be the basis of models designed to optimise both performance and feeding programmes. The value of models designed to predict growth or reproductive performance has been improved inestimably by making food intake an output from, as opposed to an input to, such models. Predicting voluntary food intake requires the potential of the bird to be known, be this the growth of body protein or lipid, the growth of feather protein, or the rate at which yolk and albumen may be deposited daily in the form of an egg, and some of the issues relating...
Tipo: Info:eu-repo/semantics/article
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982007001000024
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Reading model to estimate optimum economic intakes of amino acids for poultry Ciência Rural
Silva,Edney Pereira da; Sakomura,Nilva Kazue; Hauschild,Luciano; Gous,Robert Mervyn.
The use of a linear-plateau procedure to describe the response of an individual in the population has theoretical support, since the maximum potential performance of each individual is genetically determined, and any increment in intake of the limiting nutrient above maintenance will result in a linear response in output until this genetic potential, and hence requirement, is reached. However, because of the distribution of body weights and maximum potential outputs in the population, the mean response of the population is curvilinear, which negates the possibility of defining a 'requirement' for the limiting nutrient, and instead leads to the possibility of defining an optimum economic intake of the nutrient.. The Reading model describes the response of a...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Egg mass; Mathematical model; Optimal economic; Population.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300450
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