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      Assessing the potential of improving growth and survival to the eyed stage in selectively bred Arctic charr ( Salvelinus alpinus)

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          Abstract

          The Arctic charr breeding programme has been a main driving force for developing the aquaculture industry in Sweden. Selection has been performed for almost 40 years using animals from a closed breeding nucleus. The aim of the current study was to evaluate the potential of further improving growth‐related traits taking into account the existence of genotype‐by‐environment interaction. Furthermore, we investigated the magnitude of the genetic component associated with survival to the eyed stage and potential associations with inbreeding coefficients. A preliminary heritability estimate of 0.23 ( SE 0.20) was obtained for survival to the eyed stage using records spanning from 2000 to 2017 ( n = 230). Moreover, moderate‐to‐high heritability estimates (0.27–0.49) were obtained for growth‐related traits (body weight and length), using animals from the latest generation of selection (year class 2017). Those animals ( n = 2,776), originating from 55 full‐sib families, were split into two groups and reared in separate land‐based facilities of commercial fish farms in Sweden. The growth‐related traits were recorded twice in both sites when animals were of >1 and >2 years of age. Existence of sexual growth dimorphism was indicated with the males having on average 6%–8% higher total length and 22%–34% higher body weight. Furthermore, high genetic correlations regarding growth traits were obtained amongst animals reared at the two different sites (0.82–0.95). In addition, we assessed the accuracy of best linear unbiased prediction (BLUP)‐derived estimated breeding values (EBVs) when phenotypes from each rearing site were subsequently masked and used as a validation set. A mean prediction accuracy of 0.60 (length) and 0.64 (weight) were derived for both rearing sites. Overall, our results suggest that further growth improvements should be possible in the subsequent generations of selection. Finally, even though indications for the existence of an underlying genetic component(s) involved in survival to the eyed stage were obtained additional data will be required for elucidating its magnitude.

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          Best linear unbiased estimation and prediction under a selection model.

          Mixed linear models are assumed in most animal breeding applications. Convenient methods for computing BLUE of the estimable linear functions of the fixed elements of the model and for computing best linear unbiased predictions of the random elements of the model have been available. Most data available to animal breeders, however, do not meet the usual requirements of random sampling, the problem being that the data arise either from selection experiments or from breeders' herds which are undergoing selection. Consequently, the usual methods are likely to yield biased estimates and predictions. Methods for dealing with such data are presented in this paper.
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            A review of quantitative genetic components of fitness in salmonids: implications for adaptation to future change

            Salmonine fishes are commonly subjected to strong, novel selective pressures due to anthropogenic activities and global climate change, often resulting in population extinction. Consequently, there is considerable interest in predicting the long-term evolutionary trajectories of extant populations. Knowledge of the genetic architecture of fitness traits is integral to making these predictions. We reviewed the published, peer-reviewed literature for estimates of heritability and genetic correlation for fitness traits in salmonine fishes with two broad goals in mind: summarization of published data and testing for differences among categorical variables (e.g., species, life history type, experimental conditions). Balanced coverage of variables was lacking and estimates for wild populations and behavioral traits were nearly absent. Distributions of heritability estimates were skewed toward low values and distributions of genetic correlations toward large, positive values, suggesting that significant potential for evolution of traits exists. Furthermore, experimental conditions had a direct effect on h 2 estimates, and other variables had more complex effects on h 2 and r G estimates, suggesting that available estimates may be insufficient for use in models to predict evolutionary change in wild populations. Given this and other inherent complicating factors, making accurate predictions of the evolutionary trajectories of salmonine fishes will be a difficult task.
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              Harnessing genomics to fast-track genetic improvement in aquaculture

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                Author and article information

                Contributors
                christos.palaiokostas@slu.se
                Journal
                J Anim Breed Genet
                J Anim Breed Genet
                10.1111/(ISSN)1439-0388
                JBG
                Journal of Animal Breeding and Genetics
                John Wiley and Sons Inc. (Hoboken )
                0931-2668
                1439-0388
                03 October 2020
                May 2021
                : 138
                : 3 ( doiID: 10.1111/jbg.v138.3 )
                : 326-337
                Affiliations
                [ 1 ] Department of Animal Breeding and Genetics Swedish University of Agricultural Sciences Uppsala Sweden
                [ 2 ] Aquaculture Center North Kälarne Sweden
                Author notes
                [*] [* ] Correspondence

                Christos Palaiokostas, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Box 7090, 750 07 Uppsala, Sweden.

                Email: christos.palaiokostas@ 123456slu.se

                Author information
                https://orcid.org/0000-0002-4480-4612
                Article
                JBG12509
                10.1111/jbg.12509
                8246994
                33009889
                60e4c96e-722f-4237-b996-a746f5f2efba
                © 2020 The Authors. Journal of Animal Breeding and Genetics published by Wiley‐VCH GmbH

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 August 2020
                : 05 June 2020
                : 05 September 2020
                Page count
                Figures: 5, Tables: 4, Pages: 12, Words: 7675
                Funding
                Funded by: Swedish Government
                Award ID: N2017/02366/SUN
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                May 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:01.07.2021

                arctic charr,egg survival,genotype‐by‐environment interaction,selective breeding

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