Rapid assessment of genotype-by-environment interactions and heritability for growth rate in aquaculture species using in vitro fertilisation and DNA tagging

Macbeth, Gilbert Michael and Wang, You-Gan (2014) Rapid assessment of genotype-by-environment interactions and heritability for growth rate in aquaculture species using in vitro fertilisation and DNA tagging. Aquaculture, 434 397-402. doi:10.1016/j.aquaculture.2014.08.026

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Author Macbeth, Gilbert Michael
Wang, You-Gan
Title Rapid assessment of genotype-by-environment interactions and heritability for growth rate in aquaculture species using in vitro fertilisation and DNA tagging
Journal name Aquaculture   Check publisher's open access policy
ISSN 0044-8486
1873-5622
Publication date 2014-10-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.aquaculture.2014.08.026
Volume 434
Start page 397
End page 402
Total pages 6
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Collection year 2015
Language eng
Formatted abstract
Commercial environments may receive only a fraction of expected genetic gains for growth rate as predicted from the selection environment. This fraction is the result of undesirable genotype-by-environment interactions (G × E) and measured by the genetic correlation (rg) of growth between environments. Rapid estimates of genetic correlation achieved in one generation are notoriously difficult to estimate with precision. A new design is proposed where genetic correlations can be estimated by utilising artificial mating from cryopreserved semen and unfertilised eggs stripped from a single female. We compare a traditional phenotype analysis of growth to a threshold model where only the largest fish are genotyped for sire identification. The threshold model was robust to differences in family mortality differing up to 30%. The design is unique as it negates potential re-ranking of families caused by an interaction between common maternal environmental effects and growing environment. The design is suitable for rapid assessment of G × E over one generation with a true 0.70 genetic correlation yielding standard errors as low as 0.07. Different design scenarios were tested for bias and accuracy with a range of heritability values, number of half-sib families created, number of progeny within each full-sib family, number of fish genotyped, number of fish stocked, differing family survival rates and at various simulated genetic correlation levels.
Keyword Growth rate
Genetic correlation
Genotype by environment
Heritability
Breeding design
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2015 Collection
 
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