FN Archimer Export Format
PT J
TI How to genetically increase fillet yield in fish: Relevant genetic parameters and methods to predict genetic gain
BT 
AF VANDEPUTTE, Marc
   FRASLIN, Clemence
   HAFFRAY, Pierrick
   BESTIN, Anastasia
   ALLAL, Francois
   KOCOUR, Martin
   PRCHAL, Martin
   DUPONT-NIVET, Mathilde
AS 1:1,2;2:1,2;3:3;4:3;5:2;6:4;7:4;8:1;
FF 1:;2:;3:;4:;5:PDG-RBE-MARBEC-LAAAS;6:;7:;8:;
C1 Univ Paris Saclay, GABI, AgroParisTech, INRAE, F-78350 Jouy En Josas, France.
   Univ Montpellier, CNRS, MARBEC, IFREMER,IRD,UM, F-34250 Palavas Les Flots, France.
   SYSAAF Sect Aquacole, Campus Beaulieu, F-35000 Rennes, France.
   Univ South Bohemia Ceske Budejovice, Fac Fisheries & Protect Waters, South Bohemian Res Ctr Aquaculture & Biodivers Hy, Zatisi 728, Vodnany 38925, Czech Republic.
C2 INRA, FRANCE
   IFREMER, FRANCE
   SYSAAF, FRANCE
   UNIV SOUTH BOHEMIA, CZECH REPUBLIC
SI PALAVAS
SE PDG-RBE-MARBEC-LAAAS
UM MARBEC
IN WOS Ifremer UMR
   copubli-france
   copubli-p187
   copubli-europe
IF 4.242
TC 11
UR https://archimer.ifremer.fr/doc/00612/72378/71390.pdf
LA English
DT Article
DE ;Aquaculture;Genetics;Heritability;Selection;Linear index;Residual fillet weight;Selection response;Simulation;Processing yields
AB Fillet yield (i.e. the proportion of edible muscle in a fish) is a key economic trait for species sold as fillets. Its genetic improvement is complicated by several of its characteristics 1) it is a ratio trait, 2) its numerator (fillet weight) and denominator (body weight) are strongly correlated (correlations in the range 0.89-0.99), 3) it offers little phenotypic variation and 4) it cannot be measured on alive breeding candidates. In a former study, we showed that it could be improved by selection, especially with three selection indices, fillet yield, residual fillet weight and a ratio-specific linear index. However, it is well known that the heritability of ratio traits does not permit a reliable prediction of genetic gains. As predictability of genetic gains is a key requirement to define breeding programs, we investigated how genetic gains in fillet yield could be predicted by the genetic parameters of fillet yield, of residual fillet weight and of the component traits of the linear index. To this end, we compared simulated genetic gains with those estimated by classical prediction methods. This was done using real sets of genetic parameters obtained in nine populations of rainbow trout, European sea bass, gilthead sea bream and common carp. We show that the genetic parameters of fillet yield cannot be used to reliably predict genetic gains in fillet yield. Conversely, selection index theory using a linear index, combining either fillet weight and body weight or fillet weight and waste weight, provides almost perfect prediction of gains. Still, it is highly sensitive to the precision of the genetic and phenotypic correlations estimates, which should not be rounded to less than three decimals for fillet weight and body weight, while two decimals are appropriate for fillet weight and waste weight. A simple, reasonably precise alternative to the linear index is the use of residual fillet weight (the residual of the regression of fillet weight on body weight) as a surrogate for fillet yield. 
PY 2020
PD MAR
SO Aquaculture
SN 0044-8486
PU Elsevier
VL 519
UT 000511835000053
DI 10.1016/j.aquaculture.2019.734877
ID 72378
ER

EF