2011
DOI: 10.1016/j.aquaculture.2010.11.023
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Strategies for controlling inbreeding in fish breeding programs; an applied approach using optimum contribution (OC) procedures

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Cited by 13 publications
(18 citation statements)
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“…), and has been used to maximize genetic gain while restricting inbreeding rate (Skaarud et al . ; Gourdine et al . ).…”
Section: Discussionmentioning
confidence: 99%
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“…), and has been used to maximize genetic gain while restricting inbreeding rate (Skaarud et al . ; Gourdine et al . ).…”
Section: Discussionmentioning
confidence: 99%
“…Optimal contribution selection is the most powerful method to maximize genetic diversity in breeding programmes (Fernandez et al 2011), and has been used to maximize genetic gain while restricting inbreeding rate (Skaarud et al 2011;Gourdine et al 2012). In this study, optimal contributions were used to maximize the overall diversity and conserve a single allele according to a certain target frequency at the same time.…”
Section: Figurementioning
confidence: 99%
“…In OC selection, the intensity of use of each selection candidate is optimized according to an index that basically contains the expected genetic merit of the future progeny and the coancestry among selected parents. Several studies have shown the benefits of implementing OC in aquaculture breeding programmes, in terms of maximizing genetic response with controlled rate of inbreeding (D'agaro, Woolliams, Haley & Lanari, 2010;Hinrichs & Wetten, 2006;Holtsmark, Klemetsdal, Sonesson & Woolliams, 2008;Kause, Ritola, Paananen, Wahlroos & M€ antysaari, 2005;Liu, Meuwissen, Sørensen & Berg, 2015;Nielsen, Sonesson & Meuwissen, 2011;Skaarud, Woolliams & Gjøen, 2011, 2014Sonesson, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…It is also a simple and practical method to implement under mass selection, with no knowledge of the ancestry of selection candidates being required. There may be scope in mass selection aquaculture breeding programmes to use optimum contributions and manage contributions of parents to gamete pools, but when specific family pairings are required at mating, it is not expected to be practical to mate parents such that contributions to future generations are deliberately higher for some parents than others (Skaarud et al, 2011). Thus, we have restricted the situations simulated in this study to situations where parent pairs selected using an optimisation algorithm contribute equally to the pool of offspring that become selection candidates for the next generation.…”
Section: Selectionmentioning
confidence: 99%
“…Kinghorn (2011) evaluated the use of an evolutionary algorithm to perform mate selection under constraints with consideration to the practical issues involved in allocating mates. These studies typically imply substantial benefits from the use of optimum contribution methods, although modifications are likely to be required for practical implementation in aquaculture genetic improvement (Skaarud et al, 2011). Pong-Wong and Woolliams (2007) introduced the idea of using semi-definite programming as a tool to allocate parental contributions to restrict inbreeding to a pre-defined level with a quadratic constraint, while maximising a linear objective function for genetic response.…”
Section: Introductionmentioning
confidence: 99%