Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness

Abstract Reliable estimates of genetic parameters for growth traits as a trajectory of age are needed to optimize existing turbot breeding programmes. To evaluate the potential of early selection strategies, the use of biometric body measurements, length (L), width (W) and area (A), at early ages as...

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Published in:Journal of Animal Breeding and Genetics
Main Authors: Schlicht, Kristina, Krattenmacher, Nina, Lugert, Vincent, Schulz, Carsten, Thaller, Georg, Tetens, Jens
Other Authors: Bundesanstalt für Materialforschung und -Prüfung
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2018
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Online Access:http://dx.doi.org/10.1111/jbg.12337
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spelling crwiley:10.1111/jbg.12337 2024-06-23T07:56:37+00:00 Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness Schlicht, Kristina Krattenmacher, Nina Lugert, Vincent Schulz, Carsten Thaller, Georg Tetens, Jens Bundesanstalt für Materialforschung und -Prüfung 2018 http://dx.doi.org/10.1111/jbg.12337 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fjbg.12337 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbg.12337 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of Animal Breeding and Genetics volume 135, issue 4, page 275-285 ISSN 0931-2668 1439-0388 journal-article 2018 crwiley https://doi.org/10.1111/jbg.12337 2024-06-04T06:46:48Z Abstract Reliable estimates of genetic parameters for growth traits as a trajectory of age are needed to optimize existing turbot breeding programmes. To evaluate the potential of early selection strategies, the use of biometric body measurements, length (L), width (W) and area (A), at early ages as alternative indicators for the selection trait at harvest was explored. Random regression model (RRM) based on molecular relatedness (MR) was used to analyse the trajectory of genetic parameters for growth traits in turbot from 162 to 756 days posthatch (dph). Heritability estimates for body weight (BW) ranged from 0.34 to 0.54. Heritability estimates for W, A and L were also moderate to high ranging from 0.18 to 0.43. Estimates for L and W declined with age, while those for A increased towards harvest age. Genetic ( r G ) and phenotypic ( r P ) correlations between BW and the three morphometric traits L, A and W were estimated using simple bivariate animal models at young (AC1), medium (AC2) and old (AC3) age classes. Correlations between BW and morphometric body traits were high, ranging from 0.7 to 0.9 in all three age groups. Genetic correlations between traits were highest (>0.9) in AC3. To explore the potential for early selection, genetic correlations were derived from the RRM between all days of measurement for all traits separately. From dph 300 onwards, intratrait estimates of r G were moderate to high (above 0.7 for dph 410 and higher ages for traits BW, L and A). Results showed that genetic selection for BW, L and A is promising and that A and L could be successfully used as alternative indicator traits if measurements of BW are not available. Large BW and A at harvest could be achieved as a correlated response to early selection for these traits at around 500 dph. Article in Journal/Newspaper Scophthalmus maximus Turbot Wiley Online Library Journal of Animal Breeding and Genetics 135 4 275 285
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Reliable estimates of genetic parameters for growth traits as a trajectory of age are needed to optimize existing turbot breeding programmes. To evaluate the potential of early selection strategies, the use of biometric body measurements, length (L), width (W) and area (A), at early ages as alternative indicators for the selection trait at harvest was explored. Random regression model (RRM) based on molecular relatedness (MR) was used to analyse the trajectory of genetic parameters for growth traits in turbot from 162 to 756 days posthatch (dph). Heritability estimates for body weight (BW) ranged from 0.34 to 0.54. Heritability estimates for W, A and L were also moderate to high ranging from 0.18 to 0.43. Estimates for L and W declined with age, while those for A increased towards harvest age. Genetic ( r G ) and phenotypic ( r P ) correlations between BW and the three morphometric traits L, A and W were estimated using simple bivariate animal models at young (AC1), medium (AC2) and old (AC3) age classes. Correlations between BW and morphometric body traits were high, ranging from 0.7 to 0.9 in all three age groups. Genetic correlations between traits were highest (>0.9) in AC3. To explore the potential for early selection, genetic correlations were derived from the RRM between all days of measurement for all traits separately. From dph 300 onwards, intratrait estimates of r G were moderate to high (above 0.7 for dph 410 and higher ages for traits BW, L and A). Results showed that genetic selection for BW, L and A is promising and that A and L could be successfully used as alternative indicator traits if measurements of BW are not available. Large BW and A at harvest could be achieved as a correlated response to early selection for these traits at around 500 dph.
author2 Bundesanstalt für Materialforschung und -Prüfung
format Article in Journal/Newspaper
author Schlicht, Kristina
Krattenmacher, Nina
Lugert, Vincent
Schulz, Carsten
Thaller, Georg
Tetens, Jens
spellingShingle Schlicht, Kristina
Krattenmacher, Nina
Lugert, Vincent
Schulz, Carsten
Thaller, Georg
Tetens, Jens
Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness
author_facet Schlicht, Kristina
Krattenmacher, Nina
Lugert, Vincent
Schulz, Carsten
Thaller, Georg
Tetens, Jens
author_sort Schlicht, Kristina
title Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness
title_short Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness
title_full Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness
title_fullStr Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness
title_full_unstemmed Genetic analysis of production traits in turbot (Scophthalmus maximus) using random regression models based on molecular relatedness
title_sort genetic analysis of production traits in turbot (scophthalmus maximus) using random regression models based on molecular relatedness
publisher Wiley
publishDate 2018
url http://dx.doi.org/10.1111/jbg.12337
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fjbg.12337
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbg.12337
genre Scophthalmus maximus
Turbot
genre_facet Scophthalmus maximus
Turbot
op_source Journal of Animal Breeding and Genetics
volume 135, issue 4, page 275-285
ISSN 0931-2668 1439-0388
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1111/jbg.12337
container_title Journal of Animal Breeding and Genetics
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container_issue 4
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