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| Kuhi, Hassan Darmani; Lopez, Secundino; France, James; Mohit, Ardeshir; Shabanpour, Arezu; Hosssein-Zadeh, Navid Ghavi; Falahi, Saeed. |
| Because of the relatively long growing cycle and the high cost of research into turkey production and nutrition, the potential benefits from modelling growth in this avian species are considerable. Though there are many studies aimed at evaluating animal growth models, the number of studies targeting growth models in turkeys is quite limited. In this paper we present a sinusoidal function to describe the evolution of growth in turkeys as a function of time based on data published by Aviagen. The new function was evaluated with regard to its ability to describe the relationship between body weight and age in turkeys and was compared to four standard growth functions: the Gompertz, logistic, Lopez, and Richards. The results of this study show that the new... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Growth functions; Sinusoidal equation; Turkeys. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/45990 |
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| Krichen, Emna; Rapaport, A.; Fouilland, Eric. |
| We address the problem of determining functional framing from experimental data points in view of robust time-varying predictions, which is of crucial importance in bioprocess monitoring. We propose a method that provides guaranteed functional bounds, instead of sets of parameters values for growth functions such as the classical Monod or Haldane functions commonly used in bioprocess modeling. We illustrate the applicability of the method with bioreactor simulations in batch and continuous mode, as well as on real data. We also present two extensions of the method adding flexibility in its application, and discuss its efficiency in providing guaranteed state estimations. |
| Tipo: Text |
Palavras-chave: Functional estimation; Interval observers; Growth functions; Least square. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00609/72149/73205.pdf |
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