Biological growth models are of increasing interest in animal breeding. For example, De Vries and Kanis (1992) developed a biological growth model to optimise selection for feed intake capacity. For this biological growth model the input parameters of maximum protein deposition rate and minimum lipid to protein deposition ratio have to be known. In order to optimise the feed intake curve based on this biological growth model, the input parameters have to be known for each stage of growth. Different methods can be used for measuring protein and lipid deposition rate on live animals (e.g. deuterium dilution technique, magnetic resonance tomography (MRT)) or on slaughter animals in a serial slaughter trial with the entire body chemically analysed. All these techniques are very expensive and can only be obtained in an experimental trial. Therefore, indicator cuts to estimate the protein and deposition in different stages of growth are of high interest. For selection of feed intake over the entire growth period, the maximum protein deposition rate and minimum lipid to protein deposition ratio have to be known. Knap (2000) showed that the Gompertz function can be used to estimate these parameters. The use of the Gompertz function is only possible when the animals were tested over a long period as in the present study. Therefore, the objectives of this study were to obtain indicator cuts for protein deposition and lipid deposition rate and to obtain parameters for maximum protein and lipid deposition estimated by using nonlinear Gompertz function, which can be used for selection to optimise feed intake curve based on a biological model.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 2002. Session 11, , 11.08, 2002
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