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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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 |
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Wiley Online Library |
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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 |
container_volume |
135 |
container_issue |
4 |
container_start_page |
275 |
op_container_end_page |
285 |
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1802649879242080256 |