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Quantitative genetic parameters for wild stream‐living brown trout: heritability and parental effects
Authors:D SERBEZOV  L BERNATCHEZ  E M OLSEN  L A VØLLESTAD
Institution:1. Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biology, University of Oslo, Blindern, Oslo, Norway;2. Institut de Biologie Intégrative et des Systèmes (IBIS), Pavillon Charles‐Eugène Marchand, Université Laval, Québec, QC, Canada;3. Institute of Marine Research, Fl?devigen, His, Norway
Abstract:Adaptability depends on the presence of additive genetic variance for important traits. Yet few estimates of additive genetic variance and heritability are available for wild populations, particularly so for fishes. Here, we estimate heritability of length‐at‐age for wild‐living brown trout (Salmo trutta), based on long‐term mark‐recapture data and pedigree reconstruction based on large‐scale genotyping at 15 microsatellite loci. We also tested for the presence of maternal and paternal effects using a Bayesian version of the Animal model. Heritability varied between 0.16 and 0.31, with reasonable narrow confidence bands, and the total phenotypic variance increased with age. When introducing dam as an additional random effect (accounting for c. 7% of total phenotypic variance), the level of additive genetic variance and heritability decreased (0.12–0.21). Parental size (both for sires and for dams) positively influenced length‐at‐age for juvenile trout – either through direct parental effects or through genotype‐environment correlations. Length‐at‐age is a complex trait reflecting the effects of a number of physiological, behavioural and ecological processes. Our data show that fitness‐related traits such as length‐at‐age can retain high levels of additive genetic variance even when total phenotypic variance is high.
Keywords:animal model  Bayesian  fish  growth  maternal effects  MCMCglmm  Salmo
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