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Can selective breeding for growth or fillet yield decrease environmental impact of fish farming? a gilthead sea bream (Sparus aurata) case study

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HAL Id: hal-01194132

https://hal.archives-ouvertes.fr/hal-01194132

Submitted on 2 Jun 2020

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Can selective breeding for growth or fillet yield decrease

environmental impact of fish farming? a gilthead sea

bream (Sparus aurata) case study

Pierrick Haffray, Ivonne Acosta Alba, Sophie Cariou, J.S. Bruant, Jérôme

Bugeon, Marc Vandeputte, Joël Aubin

To cite this version:

Pierrick Haffray, Ivonne Acosta Alba, Sophie Cariou, J.S. Bruant, Jérôme Bugeon, et al.. Can selective

breeding for growth or fillet yield decrease environmental impact of fish farming? a gilthead sea bream

(Sparus aurata) case study. 12. International Symposium on Genetics in Aquaculture, Jun 2015,

Santiago de Compostela, Spain. �hal-01194132�

(2)

ISGA XII

INTERNATIONAL SYMPOSIUM ON

GENETICS IN AQUACULTURE XII

Santiago de Compostela, Spain

June 21

st

-27

th

, 2015

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68

E N V I R O N M E N T A L R I S K O22

CAN SELECTIVE BREEDING FOR GROWTH OR FILLET YIELD

DECREASE ENVIRONMENTAL IMPACT OF FISH FARMING?

A GILTHEAD SEA BREAM (Sparus aurata) CASE STUDY

Haffray P.1 §, Acosta Alba I.2, Cariou S.3, Bruant J.S.3,

Bugeon J. 4, Vandeputte M.5, 6, Aubin J.2

1 SYSAAF, Campus de Beaulieu, F-35000 Rennes, France

2 INRA, UMR1069 Sol Agro et Hydrosystème Spatialisation, F-35000 Rennes, France

3 FMD, F-17840 La Brée les Bains, France

4 INRA, LPGP, UR1037, Campus de Beaulieu, F-35000 Rennes, France

5 INRA, UMR1313 GABI, F-78352, Jouy-en-Josas, France

6 Ifremer, UMR 9190 MARBEC, F-34250 Palavas-les-Flots, France

Life Cycle Assessment (LCA) was applied to assess the environmental impact of genetic se-lection of growth or fillet yield from input production up to consumer’s plate in the gilthead seabream Sparus aurata as a case study for farmed fish species.

In a first step, genetic parameters of growth and quality traits (gutted yield, head yield, headed and gutted carcass yield, filet yield, fat muscle content, morphological traits) were estimated in 241 DNA-pedigreed mixed families from 25 dams and 86 sires reared in 2 envi-ronments, in a land-based sanitary protected breeding site (Oléron, France) and a growing site in sea cage (Corsica, France). As GxE interactions between the two environments were

limited for processing traits (rA = 0.89 to 0.94), LCA impact categories were assessed using

only genetic parameters estimated from the breeding site. Functional unit for the LCA eval-uation was 1 kg of fillet consumed.

LCA results show that the farming first step contributed to 79-100 % of the impacts depend-ing on categories (acidification, eutrophication, climate change, land occupation, energy use and primary production use). Commercialization, consumption and recycling represented less than 5 % of the impacts except for energy use and climate change. The cooking step represented close to 18 % of the energy and waste incineration accounted for more than 12 % of climate change.

The impact of selective breeding was estimated after simulating 5 generations of selection with a pressure of 10 % or 3 % on growth or 20 % or 10 % on fillet yield. Genetic improvement of growth had limited impacts on environmental performances, mainly associated with the decrease of the fixed environmental costs (facility). In the other hand, genetic improvement of fillet yield induced a 19 % to 24 % decrease in environmental impacts, mainly associated with a more efficient use of artificial feed per kg of flesh produced, which directly influenced all impact categories.

These results illustrate large indirect effect of selection on fillet yield, on environmental im-pact and provide original evidence to link genetic selection and the enhancement of envi-ronmental performance of aquaculture and livestock, the main goal of aquaculture being to produce flesh for human consumption.

Keywords: aquaculture, genetic parameters, fillet yield, Sparus aurata, life cycle analysis

§ Corresponding author: Tel: (33) 2 23 48 53 78; Fax (33) 2 23 48 50 20

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