FN Archimer Export Format
PT J
TI Genetic variability in residual feed intake in rainbow trout clones and testing of indirect selection criteria
BT 
AF GRIMA, Laure
   QUILLET, E
   BOUJARD, Thierry
   ROBERT GRANIE, C
   CHATAIN, Beatrice
   MAMBRINI, M
AS 1:1,2;2:1;3:1;4:3;5:2;6:1;
FF 1:PDG-DOP-DCM-BOME-LALR;2:;3:;4:;5:PDG-DOP-DCM-BOME-LALR;6:;
C1 INRA, UR Genet Poissons 544, F-78350 Jouy En Josas, France.
   IFREMER, Stn Aquaculture Expt, F-34250 Palavas Les Flots, France.
   INRA, UR Stn Ameliorat Genet Anim 631, F-31320 Castanet Tolosan, France.
C2 INRA, FRANCE
   IFREMER, FRANCE
   INRA, FRANCE
SI PALAVAS
SE PDG-DOP-DCM-BOME-LALR
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
IF 1.256
TC 29
UR https://archimer.ifremer.fr/doc/2008/publication-4777.pdf
LA English
DT Article
DE ;Selection;Indirect criteria;Residual feed intake;Clone;Rainbow trout
AB Little is known about the genetic basis of residual feed intake (RFI) variation in fish, since this trait is highly sensitive to environmental influences, and feed intake of individuals is difficult to measure accurately. The purpose of this work was (i) to assess the genetic variability of RFI estimated by an X-ray technique and (ii) to develop predictive criteria for RFI. Two predictive criteria were tested: loss of body weight during feed deprivation and compensatory growth during re-feeding. Ten heterozygous rainbow trout clones were used. Individual intake and body weight were measured three times at three-week intervals. Then, individual body weight was recorded after two cycles of a three-week feed deprivation followed by a three-week re-feeding. The ratio of the genetic variance to the phenotypic variance was found high to moderate for growth, feed intake, and RFI (VG/VP = 0.63 +/- 0.11, 0.29 +/- 0.11, 0.29 +/- 0.09, respectively). The index that integrates performances achieved during deprivation and re-feeding periods explained 59% of RFI variations. These results provide a basis for further studies on the origin of RFI differences and show that indirect criteria are good candidates for future selective breeding programs.
PY 2008
PD NOV
SO Genetics Selection Evolution
SN 0999-193X
PU EDP Sciences
VL 40
IS 6
UT 000260761300002
BP 607
EP 624
DI 10.1051/gse:2008026
ID 4777
ER

EF