Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 434547
Title Enhancing selective breeding for growth, slaughter traits and overall survival in rainbow trout (Oncorhynchus mykiss)
Author(s) Sae-Lim, P.; Komen, J.; Kause, A.; Martin, K.E.; Crooijmans, R.P.M.A.; Arendonk, J.A.M. van; Parsons, J.E.
Source Aquaculture 372-375 (2013). - ISSN 0044-8486 - p. 89 - 96.
DOI https://doi.org/10.1016/j.aquaculture.2012.10.031
Department(s) Animal Breeding and Genetics
WIAS
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) polymorphic microsatellite markers - oreochromis-niloticus l. - cultured atlantic salmon - expressed sequence tags - carcass quality traits - genetic-parameters - body-weight - parental allocation - water temperature - 2-stage selection
Abstract Enhancing selection using two-stage selection is normally implemented by pre-selection for tagging weight (BWT) and by final selection for ungutted harvest weight (BWH) and thermal growth coefficient from tagging to harvest (TGCTH). However, selection on harvest traits, i.e., gutted weight (GBWH), visceral percentage (VISW%), condition factor (CFH), and overall survival (SURV), can be enhanced by exploiting correlated traits. It can be hypothesized that the efficiency of two-stage selection on genetic response in BWH and TGCTH is dependent on their genetic (rg) and phenotypic (rp) correlations with BWT and therefore dependent on the time point of pre-selection. The aims of this study were, first, to estimate genetic parameters (heritability: h2, rp, and rg) for BWT (7 months), BWS (weight at sorting, 9 months), BWH (14 months), TGCTH, GBWH, VISW%, CFH, and SURV. Second, these genetic parameters were used in two deterministic simulation studies; i) one- and two-stage selections to compare genetic responses in BWH and TGCTH, and ii) alternative selection indices using correlated traits to compare corresponding accuracy of selection (rIH) for slaughter traits, CFH, and SURV. Genetic parameters were estimated using an animal mixed model in ASReml on 2,041 fish records. The main results showed that, first, rg of BWT was 0.35 with BWH but - 0.25 with TGCTH, whereas the rg of BWS was 0.72 with BWH but 0.39 with TGCTH. Pre-selection for BWS led to genetic response of 54.15 g in BWH which was higher than the genetic response from pre-selection for BWT (51.90 g). Similarly, pre-selection on BWS enhanced correlated genetic response in TGCTH to 0.30 g(1/3)/°C*day. In contrast, pre-selection for BWT resulted in lower correlated genetic response in TGCTH of 0.20 g(1/3)/°C*day. It can be concluded that genetic improvement of BWH and TGCTH can be enhanced by postponing pre-selection to a later age. However, an optimal time point for tagging and pre-selection should be found to minimize common environmental effects and rearing costs during communal rearing of full-sibs. Second, including GBWH in a selection index can reduce unfavourable selection responses in VISW%. The GBWH is highly genetically correlated with BWH and can be easily indirectly selected. TGCTH is a good predictor for selection for lower VISW%, and higher SURV, but not for higher CFH. To control genetic changes in the condition factor, it should be included to the selection index.
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