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Estimating heritability using family-pooled phenotypic and genotypic data: a simulation study applied to aquaculture
Authors:Nima Khalilisamani  Peter Campbell Thomson  Herman Willem Raadsma  Mehar Singh Khatkar
Affiliation:1.Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camden, NSW 2570 Australia ;2.ARC Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811 Australia
Abstract:Estimating heritability based on individual phenotypic and genotypic measurements can be expensive and labour-intensive in commercial aquaculture breeding. Here, the feasibility of estimating heritability using within-family means of phenotypes and allelic frequencies was investigated. Different numbers of full-sib families and family sizes across ten generations with phenotypic and genotypic information on 10 K SNPs were analysed in ten replicates. Three scenarios, representing differing numbers of pools per family (one, two and five) were considered. The results showed that using one pool per family did not reliably estimate the heritability of family means. Using simulation parameters appropriate for aquaculture, at least 200 families of 60 progeny per family divided equally in two pools per family was required to estimate the heritability of family means effectively. Although application of five pools generated more within- and between- family relationships, it reduced the number of individuals per pool and increased within-family residual variation, hence, decreased the heritability of family means. Moreover, increasing the size of pools resulted in increasing the heritability of family means towards one. In addition, heritability of family mean estimates were higher than family heritabilities obtained from Falconer’s formula due to lower intraclass correlation estimate compared to the coefficient of relationship.Subject terms: Genome evolution
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