Optimizing mating schemes in fish breeding
The optimal contribution selection method and the simulated annealing algorithm were used to maximize the genetic gain and reduce inbreeding in fish breeding populations. This study considered the following mating designs: full factorial (3 x 3); full factorial (6 x 6) and nested (6 males x 18 femal...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2010-04-01
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| Series: | Italian Journal of Animal Science |
| Subjects: | |
| Online Access: | http://www.aspajournal.it/index.php/ijas/article/view/1655 |
| _version_ | 1811228981652881408 |
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| author | D. Lanari C. S. Haley J. A. Woolliams E. D'Agaro |
| author_facet | D. Lanari C. S. Haley J. A. Woolliams E. D'Agaro |
| author_sort | D. Lanari |
| collection | DOAJ |
| description | The optimal contribution selection method and the simulated annealing algorithm were used to maximize the genetic gain and reduce inbreeding in fish breeding populations. This study considered the following mating designs: full factorial (3 x 3); full factorial (6 x 6) and nested (6 males x 18 females). A quantitative trait based on a strictly additive and polygenic model was simulated. Two levels for the number of genotyped offspring (360 or 720) and three levels of heritability (0.1; 0.3; 0.5) were assumed. The best results in terms of DF and DG were obtained with the full factorial design (6 x 6) and considering a trait with a high heritability. The optimal family size was found at 20 fish per mating. |
| first_indexed | 2024-04-12T10:05:32Z |
| format | Article |
| id | doaj.art-9679fecd70544ecca2ad8884cb24c87d |
| institution | Directory Open Access Journal |
| issn | 1594-4077 1828-051X |
| language | English |
| last_indexed | 2024-04-12T10:05:32Z |
| publishDate | 2010-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Italian Journal of Animal Science |
| spelling | doaj.art-9679fecd70544ecca2ad8884cb24c87d2022-12-22T03:37:26ZengTaylor & Francis GroupItalian Journal of Animal Science1594-40771828-051X2010-04-0161s79579610.4081/ijas.2007.1s.795Optimizing mating schemes in fish breedingD. LanariC. S. HaleyJ. A. WoolliamsE. D'AgaroThe optimal contribution selection method and the simulated annealing algorithm were used to maximize the genetic gain and reduce inbreeding in fish breeding populations. This study considered the following mating designs: full factorial (3 x 3); full factorial (6 x 6) and nested (6 males x 18 females). A quantitative trait based on a strictly additive and polygenic model was simulated. Two levels for the number of genotyped offspring (360 or 720) and three levels of heritability (0.1; 0.3; 0.5) were assumed. The best results in terms of DF and DG were obtained with the full factorial design (6 x 6) and considering a trait with a high heritability. The optimal family size was found at 20 fish per mating.http://www.aspajournal.it/index.php/ijas/article/view/1655Simulation, Fish, optimum contribution, Annealing algorithm. |
| spellingShingle | D. Lanari C. S. Haley J. A. Woolliams E. D'Agaro Optimizing mating schemes in fish breeding Italian Journal of Animal Science Simulation, Fish, optimum contribution, Annealing algorithm. |
| title | Optimizing mating schemes in fish breeding |
| title_full | Optimizing mating schemes in fish breeding |
| title_fullStr | Optimizing mating schemes in fish breeding |
| title_full_unstemmed | Optimizing mating schemes in fish breeding |
| title_short | Optimizing mating schemes in fish breeding |
| title_sort | optimizing mating schemes in fish breeding |
| topic | Simulation, Fish, optimum contribution, Annealing algorithm. |
| url | http://www.aspajournal.it/index.php/ijas/article/view/1655 |
| work_keys_str_mv | AT dlanari optimizingmatingschemesinfishbreeding AT cshaley optimizingmatingschemesinfishbreeding AT jawoolliams optimizingmatingschemesinfishbreeding AT edagaro optimizingmatingschemesinfishbreeding |