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The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production

BACKGROUND: Most fish breeding programs aim at improving growth rate and include feed conversion ratio (FCR) neither in the breeding goal nor in the selection index, although decreasing FCR is known to increase farm profit and decrease environmental impacts. This is because FCR is difficult to measu...

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Autores principales: Besson, Mathieu, Komen, Hans, Rose, Gus, Vandeputte, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006397/
https://www.ncbi.nlm.nih.gov/pubmed/32033525
http://dx.doi.org/10.1186/s12711-020-0524-0
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author Besson, Mathieu
Komen, Hans
Rose, Gus
Vandeputte, Marc
author_facet Besson, Mathieu
Komen, Hans
Rose, Gus
Vandeputte, Marc
author_sort Besson, Mathieu
collection PubMed
description BACKGROUND: Most fish breeding programs aim at improving growth rate and include feed conversion ratio (FCR) neither in the breeding goal nor in the selection index, although decreasing FCR is known to increase farm profit and decrease environmental impacts. This is because FCR is difficult to measure in fish that live in groups and FCR is assumed to have a favourable (negative) genetic correlation with growth, although the magnitude of this correlation is unknown. We investigated the effect of the genetic correlation between growth and FCR on the economic and environmental responses of a two-trait breeding goal (growth and FCR), compared to a single-trait breeding goal (growth only). Next, we evaluated the weights to assign to growth and FCR in a two-trait breeding goal to maximize sustainability of fish production. METHODS: We used pseudo-best linear unbiased prediction (BLUP) index calculations to simulate a breeding program for sea bass. For the single-trait breeding goal, the trait in the breeding goal and in the index was thermal growth coefficient (TGC) and for the two-trait breeding goal, the traits in the breeding goal were TGC and FCR and the traits in the index were TGC and percentage of fat in the dorsal muscle (an indirect measure of FCR). We simulated responses to selection for genetic and phenotypic correlations between TGC and FCR ranging from 0 to − 0.8. Then, in the two-trait breeding goal, we calculated the economic return and the change in eutrophication when using economic values (EV) or environmental values (ENV). RESULTS: When the genetic correlation between TGC and FCR was lower than − 0.45, we found major differences in economic returns and in eutrophication between single and two-trait breeding programs. At a correlation of − 0.25, the two-trait breeding goal based on EV increased economic return by 25% compared to the single-trait breeding goal, while using ENV decreased eutrophication by 1.34% per ton of fish produced after one generation of selection. CONCLUSIONS: The genetic correlation between TGC and FCR affects the magnitude of economic losses due to omitting FCR in the breeding program. In addition, the genetic correlation affects the importance of choosing EV or ENV to reduce eutrophication and increase profit.
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spelling pubmed-70063972020-02-13 The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production Besson, Mathieu Komen, Hans Rose, Gus Vandeputte, Marc Genet Sel Evol Research Article BACKGROUND: Most fish breeding programs aim at improving growth rate and include feed conversion ratio (FCR) neither in the breeding goal nor in the selection index, although decreasing FCR is known to increase farm profit and decrease environmental impacts. This is because FCR is difficult to measure in fish that live in groups and FCR is assumed to have a favourable (negative) genetic correlation with growth, although the magnitude of this correlation is unknown. We investigated the effect of the genetic correlation between growth and FCR on the economic and environmental responses of a two-trait breeding goal (growth and FCR), compared to a single-trait breeding goal (growth only). Next, we evaluated the weights to assign to growth and FCR in a two-trait breeding goal to maximize sustainability of fish production. METHODS: We used pseudo-best linear unbiased prediction (BLUP) index calculations to simulate a breeding program for sea bass. For the single-trait breeding goal, the trait in the breeding goal and in the index was thermal growth coefficient (TGC) and for the two-trait breeding goal, the traits in the breeding goal were TGC and FCR and the traits in the index were TGC and percentage of fat in the dorsal muscle (an indirect measure of FCR). We simulated responses to selection for genetic and phenotypic correlations between TGC and FCR ranging from 0 to − 0.8. Then, in the two-trait breeding goal, we calculated the economic return and the change in eutrophication when using economic values (EV) or environmental values (ENV). RESULTS: When the genetic correlation between TGC and FCR was lower than − 0.45, we found major differences in economic returns and in eutrophication between single and two-trait breeding programs. At a correlation of − 0.25, the two-trait breeding goal based on EV increased economic return by 25% compared to the single-trait breeding goal, while using ENV decreased eutrophication by 1.34% per ton of fish produced after one generation of selection. CONCLUSIONS: The genetic correlation between TGC and FCR affects the magnitude of economic losses due to omitting FCR in the breeding program. In addition, the genetic correlation affects the importance of choosing EV or ENV to reduce eutrophication and increase profit. BioMed Central 2020-02-07 /pmc/articles/PMC7006397/ /pubmed/32033525 http://dx.doi.org/10.1186/s12711-020-0524-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Besson, Mathieu
Komen, Hans
Rose, Gus
Vandeputte, Marc
The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production
title The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production
title_full The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production
title_fullStr The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production
title_full_unstemmed The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production
title_short The genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production
title_sort genetic correlation between feed conversion ratio and growth rate affects the design of a breeding program for more sustainable fish production
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006397/
https://www.ncbi.nlm.nih.gov/pubmed/32033525
http://dx.doi.org/10.1186/s12711-020-0524-0
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