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Potential for Genetic Improvement of the Main Slaughter Yields in Common Carp With in vivo Morphological Predictors

Authors: Martin Prchal; Jérôme Bugeon; Marc Vandeputte; Marc Vandeputte; Antti Kause; Alain Vergnet; Jinfeng Zhao; +5 Authors

Potential for Genetic Improvement of the Main Slaughter Yields in Common Carp With in vivo Morphological Predictors

Abstract

Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2018.00283/full#supplementary-material; International audience; Common carp is a major aquaculture species worldwide, commonly sold alive but also as processed headless carcass or filets. However, recording of processing yields is impossible on live breeding candidates, and alternatives for genetic improvement are either sib selection based on slaughtered fish, or indirect selection on correlated traits recorded in vivo. Morphological predictors that can be measured on live fish and that correlate with real slaughter yields hence remain a possible alternative. To quantify the power of morphological predictors for genetic improvement of yields, we estimated genetic parameters of slaughter yields and various predictors in 3-year-old common carp reared communally under semi-intensive pond conditions. The experimental stock was established by a partial factorial design of 20 dams and 40 sires, and 1553 progenies were assigned to their parents using 12 microsatellites. Slaughter yields were highly heritable (h2 = 0.46 for headless carcass yield, 0.50 for filet yield) and strongly genetically correlated with each other (rg = 0.96). To create morphological predictors, external (phenotypes, 2D digitization) and internal measurements (ultrasound imagery) were recorded and combined by multiple linear regression to predict slaughter yields. The accuracy of the phenotypic prediction was high for headless carcass yield (R2 = 0.63) and intermediate for filet yield (R2 = 0.49). Interestingly, heritability of predicted slaughter yields (0.48–0.63) was higher than that of the real yields to predict, and had high genetic correlations with the real yields (rg = 0.84–0.88). In addition, both predicted yields were highly phenotypically and genetically correlated with each other (0.95 for both), suggesting that using predicted headless carcass yield in a breeding program would be a good way to also improve filet yield. Besides, two individual predictors (P1 and P2) included in the prediction models and two simple internal measurements (E4 and E23) exhibited intermediate to high heritability estimates (h2 = 0.34 – 0.72) and significant genetic correlations to the slaughter yields (rg = |0.39 – 0.83|). The results show that there is a solid potential for genetic improvement of slaughter yields by selecting for predictor traits recorded on live breeding candidates of common carp.

Country
France
Subjects by Vocabulary

Microsoft Academic Graph classification: Common carp Factorial experiment Microsatellite Breeding program Biology Animal science Linear regression Indirect selection Heritability

Library of Congress Subject Headings: lcsh:QH426-470 lcsh:Genetics

Keywords

héritabilité, cyprinus carpio, [SDV]Life Sciences [q-bio], ultrasonographie, corrélation génétique, poisson, morphological landmarks, cyprinidae, ultrasound imagery, Genetics (clinical), Original Research, rendement à l'abattage, carp, genetic correlation, [SDV] Life Sciences [q-bio], phénotype, indirect selection, Molecular Medicine, heritability estimates;genetic correlations;indirect selection;morphological landmarks;slaughter yields;ultrasound imagery, growth, paramètre génétique, Genetics, croissance animale, [INFO]Computer Science [cs], filet de poisson, slaughter yields, genetic correlations, fish, amélioration génétique, [SDV.GEN]Life Sciences [q-bio]/Genetics, fish fillets, rendement en carcasse, croissance, carpe, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, rendement en filet, sélection animale, morphologie, heritability estimates, genetic variance, effet du sexe

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
gold
Funded by
EC| FISHBOOST
Project
FISHBOOST
Improving European aquaculture by advancing selective breeding to the next level for the six main finfish species
  • Funder: European Commission (EC)
  • Project Code: 613611
  • Funding stream: FP7 | SP1 | KBBE
Related to Research communities
Sustainable Development Solutions Network - Greece
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