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.

Highlights

  • Arctic charr (Salvelinus alpinus) farming in Sweden is a promising industry, despite the relatively small production volume (1,310 tn; SCB, 2017)

  • The Arctic charr breeding programme has been based on 45–125 full-sib families (Nilsson et al, 2010) reared in separate tanks until a size of 30–60 g upon which the breeding candidates are marked using passive integrated transponder (PIT) tags and reared communally thereafter

  • Identification of the most promising selection candidates is practised by estimating breeding values (EBVs) for growth-related traits through the best linear unbiased prediction (BLUP) methodology (Henderson, 1975), while at the same time striving to minimize inbreeding accumulation through avoiding crossing together full or half sibs

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Summary

| INTRODUCTION

Arctic charr (Salvelinus alpinus) farming in Sweden is a promising industry, despite the relatively small production volume (1,310 tn; SCB, 2017). Prior studies on GxE interaction for growth traits in Arctic charr conducted on the year classes 1993 and 2009 have estimated GxE of differing magnitude (Nilsson et al, 2010, 2016) indicating that the efficiency of selection could differ amongst farming sites. No prior study has focused on obtaining accuracy estimates regarding the efficiency of BLUP-derived EBVs for growth-related traits in Arctic charr reared in different sites. The aim of the current study was to investigate the magnitude of genetic components involved in survival of Arctic charr embryos to the eyed stage and the potential for further improving growth-related traits. Updated estimates of heritability on growth-related traits for the latest year class of the breeding programme (2017) were used as indicators of the genetic potential for further improvement. Phenotypic information from each rearing environment was subsequently masked and used as a validation set

| MATERIALS AND METHODS
| RESULTS
| CONCLUSION
Findings
ETHICAL APPROVAL
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