Document généré le 17/06/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/mortalite-et-croissance-de-l-huitre-creuse-c-gigas-dans-le-bassin-de-marennes-oleron-resultats-obtenus-sur-le-site-atelier-de-ronce-perquis-en-1997-1999
Mortalité et croissance de l'huître creuse C. gigas dans le bassin de Marennes Oléron. Résultats obtenus sur le site atelier de Ronce-Perquis en 1997-1999
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Producteur
Contributeur(s)
Éditeur(s)
Identifiant documentaire
9-1641
Identifiant OAI
oai:archimer.ifremer.fr:1641
Auteur(s):
Soletchnik, Patrick,Le Moine, Olivier,Faury, Nicole,Razet, Daniel,Geairon, Philippe,Robert, Stephane,Goulletquer, Philippe,Taillade, Sylvie
Mots clés
Bay of Marennes Oleron
Crassostrea gigas
Reproductive effort
Biochemical composition
Growth
Sampling strategy
Mortality rates
Bassin de Marennes Oléron
Crassostrea gigas
Effort de reproduction
Composition biochimique
Croissance
Méthodologie d'estimation
Taux de mortalité
Date de publication
01/04/2000
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
fre
Thème
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Source
Droits de réutilisation
info:eu-repo/semantics/openAccess
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Commune
Description
The 1999 monitoring of the C. gigas mortality rates showed a 32 to 40% loss for the on-bottom rearings located on the Ronce-Perquis oyster bank. In 1997, the averaged mortality rate varied between 23 and 29% without significant site effect. These mortality rates were ranging from 17 to 32% in 1998 with significant limited mortality rate on site 4 (17%). However, those rates were underestimated by 7 to 8%, based on our 1999 study, Actually, the spatial distribution for these rates on 2 experimental sites divided into 25 subunits demonstrated a large variability ranging from 17-37% and 22-56% for sites 1 and 2, respectively. In spite this large variability, the mortality rates results were larger on the muddy bottom site. In contrast to site 1, the oysters deployed on site 2 showed a non-random mortality rate distribution with a 10% greater rate on the eastern side of the lease. This study demonstrated the likely bias induced by the traditional sampling strategy to estimate mortality rates on on-bottom oyster cultures. The loss due to spatial dispersion was estimated to reach 10 to 15%. A significant improvment in estimating mortality rates was obtained by the 1999 methodology. The mortality rate at the study completion can be divided into two parts: 1) an initial rate resulting from zootechnical practices and the oyster deployment, and 2) the rearing mortality rate function of the environmental and on-going rearing conditions. This initial mortality rate can reach greater values than the rearing mortality rate, as described in 1999. Initial mortality rates reached 3, 7 and 21% in 1997, 1998, and 1999 respectively. This also demonstrated the critical effect of the initial oyster physiological condition, and therefore the oyster batches characteristics in explaining mortality rates. The overall growth performance in terms of shell and meat weight gains was significantly lower for on bottom rearing conditions compared to off bottom culture. The Eastern experimental site located at a 75% immersion time showed systematically the greater growth performances. The significant growth gradient from wester to eastern locations tend to decrease from 1997 to 1999. Similarly, the overall growth variability has decreased between 1997 and 1999. The somatic weight increase was similar at the end of the experiment for both on- and bottom rearing oyster batches, reaching 0.4g in 1997 and 1998 (2 years old) and 0.7g in 1999 (3 years old). The dry meat weight increase resulting from the gametogenesis was greater from a 2-3 factor for off- bottom compared to on bottom reared oysters. The carbohydrates concentrations patterns were similar in 1997 and 1999, reaching 20% at the post spawning stage. In 1998, the carbohydrates' concentrations was systematically below 5% over the rearing cycle. The oyster larval abundance, sampled in the Bay of Marennes Oleron, was significantly correlated with the population spawning effort. Over 3 experimental years, two spawnings events of various intensity were observed on a yearly basis, mainly in July and August.
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