Prediction of Genetic Variation in Stocks of Offspring and Its Correlation with Viability and Growth Rate |
| |
| Authors: | Dariusz Kaczmarczyk Stefan Dobosz Aleksandra Kaczor |
| |
| Institution: | 1. Department of Environmental Biotechnology, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland;2. Departament of Salmonid Research in Rutki, Inland Fisheries Institute, Olsztyn, Poland |
| |
| Abstract: | This study tested the accuracy of predictions of genetic variation with Genassemblage 1.0 software and investigated whether offspring with greater genetic variation have higher survivability in aquaculture conditions than offspring with less genetic variation. To achieve these aims, microsatellite polymorphism was used to determine genetic variation in rainbow trout, Oncorhynchus mykiss, spawners and progeny. Spawning pairs were assembled based on the estimated genetic variation of their offspring. The offspring were divided into two groups: (H) group had higher expected values of heterozygosity (0.93) and allelic richness (41), whereas (L) group had lower expected values (0.63 and 31). The heterozygosity, survivability, and growth rate of these groups were recorded. The observed heterozygosity was 0.93 in (H) group and 0.62 in (L) group. (H) group had slightly higher survivability (89.8%) than (L) group (87.6%), but this difference was not significant (p ≥ 0.05), possibly due to residual tetrasomy in the rainbow trout genome. In the offspring, predicted and observed variations were very similar, indicating that Genassemblage 1.0 accurately predicts genetic variation in progeny. |
| |
| Keywords: | aquaculture Genassemblage software management of genetic diversity rainbow trout survivability |
|
|
