FN Archimer Export Format
PT SLIDE
TI Genetic basis of growth, survival and their plasticity in the Pacific oyster Crassostrea gigas
BT 
AF ERNANDE, Bruno
   BOUDRY, Pierre
   HEURTEBISE, Serge
   HAURE, Joel
   MARTIN, Jean-Louis
AS 1:;2:;3:;4:;5:;
FF 1:PDG-DOP-DCMMN-HMMN-RHPEB;2:PDG-DOP-DCB-PFOM-PI;3:PDG-DOP-DCN-AGSAE-LGP;4:PDG-DOP-DCN-AGSAE-LGP;5:PDG-DOP-DCN-AGSAE-LGP;
SI PORT-EN-BESSIN
   BREST
   LA TREMBLADE
   BOUIN
SE PDG-DOP-DCMMN-HMMN-RHPEB
   PDG-DOP-DCB-PFOM-PI
   PDG-DOP-DCN-AGSAE-LGP
UR https://archimer.ifremer.fr/doc/2000/acte-3498.pdf
LA English
DT Slideshow
DE ;Genotyic;Plasticity;Survival;Growth;Genetic;Crassostrea gigas;Pacific oyster
AB Introduction : Growth and survival are the life-history traits of the most interest for oyster production since they determine biomass output (growth x survival). This study aimed to investigate whether there is genetic basis for growth, survival and their plasticity to know if a selection program is conceivable for these traits. Material and Methods : Nested half-sibs mating design was used to produce families of oysters: 5 males were each mated to three females producing 5 half-sibs families, each containing 3 full-sib families. At 15 months of age (May 1999), each full-sibs family was randomly split into five groups which were given different treatments. Two groups were placed in a constant environment: one with low food resources and another with high food resources. The three other groups were regularly transferred from the first environment to the second one according to different periods: a group was transferred every 15 days, another every month and the third every 2 months. Oysters were individually monitored for growth and survival every 15 days over 6 months (from May to October 1999). Both crossed and nested analyses of variance enabled us to determine genotypic and environmental effects on growth and survival. Results : The analysis of variance revealed significant genotypic and environmental effects (p<0.0001) but also significant genotype x environment interaction (p<0.0001) for growth. Analysis on survival will also be presented. These results represent a first step toward a possible selection program for the studied traits. 
PY 2000
PD MAY
ID 3498
ER

EF