Data/hora: 01/06/2024 08:44:36

Provedor de dados: 	5	
País: 	France	
Título: 	Modelling growth and feeding of the Japanese oyster Crassostrea gigas in Marennes-Oleron Bay (France)	
Autores: 	Raillard, Olivier; Deslous Paoli, Jean-marc; Heral, Maurice; Razet, Daniel.	
Data: 	1993	
Ano: 	1993	
Palavras-chave: 	MODEL; ENERGETIC BUDGET; GROWTH; TURBIDITY; CRASSOSTREA-GIGAS.	
Resumo: 	A model simulating growth and feeding is presented for Crassostrea gigas and incorporates such physiological processes as filtration rate, pseudo-faeces production and ingestion, oxygen consumption and spawning. The only state variable is flesh weight. This model is designed to incorporate the effects of quantity and quality of food, temperature and oyster dry weight. Comparison of simulation outputs with real data showed that the model closely simulated the seasonal changes in weight over a two-year sample interval. This simulation confirms that oyster growth in Marennes-Oleron Bay is strongly regulated by the non-organic concentration in the seston. This latter factor dilutes the potential food for oyster and causes a large amount of food rejection in the form of pseudo-faeces. Nevertheless, this regulation is lowered by the "organic-inorganic" sorting of particles which occurs during the pseudo-faeces formation. This sorting is found to enhance significantly the organic ratio in the ingested food. Discrepancies between model and data are shown. The effects on feeding activity of endogenous control of gametogenesis and the physiological control of absorption by the quality of food would have to be incorporated in the present model in order to improve its reliability and its accuracy.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	http://archimer.ifremer.fr/doc/1993/publication-3066.pdf	
Editor: 	Gauthier-villars/editions Elsevier	
Relação: 	http://archimer.ifremer.fr/doc/00000/3066/	
Formato: 	application/pdf	
Fonte: 	Oceanologica Acta (0399-1784) (Gauthier-villars/editions Elsevier), 1993 , Vol. 16 , N. 1 , P. 73-82	
Fonte: 	Ifremer / IRD / CNRS