J. Appl. Poult. Res.
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J APPL POULT RES 1996. 5:109-115
© 1996 Poultry Science Association
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Research Reports

Non-Linear and Linear Function in Body Protein Growth

Milan Hruby, Melvin L. Hamre and Craig N. Coon

Department of Animal Science, University of Minnesota, St. Paul, MN 55108; Phone: (612) 624-6263; FAX: (612) 625-5789

Correspondence: Craig N. Coon

The choice of growth function for a precise description of broiler growth is an important first step toward better prediction of broiler performance. Non-linear (Gompertz and logistic) and linear (polynomial) functions were fitted to the body protein weight data of broilers reared under three environmental temperature treatments. The non-linear Gompertz function showed an advantage over the non-linear logistic function and the linear polynomial function in fitting the protein weight data. Because high environmental temperatures significantly decrease mature protein weight and rate of protein gain, these growth functions reflect broilers' genetic potential most accurately at lower environmental temperatures.

Key Words: Body protein • broilers • growth function




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H. Ahmadi, M. Mottaghitalab, and N. Nariman-Zadeh
Group Method of Data Handling-Type Neural Network Prediction of Broiler Performance Based on Dietary Metabolizable Energy, Methionine, and Lysine
J. Appl. Poult. Res., January 1, 2007; 16(4): 494 - 501.
[Abstract] [Full Text] [PDF]




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