Journal article
Quantitative genetic parameters for body traits at different ages in a cultured stock of giant freshwater prawn (Macrobrachium rosenbergii) selected for fast growth
Marine and Freshwater Research, Vol.65(3), pp.198-205
2014
Abstract
The aim of the current study was to estimate heritabilities and correlations for body traits at different ages (Weeks 10 and 18 after stocking) in a giant freshwater prawn (Macrobrachium rosenbergii) population selected for fast growth rate in Vietnam. The dataset consisted of 4650 body records (2432 and 2218 records collected at Weeks 10 and 18, respectively) in the full pedigree comprising a total of 18 387 records. Variance and covariance components were estimated using restricted maximum likelihood fitting a multi-trait animal model. Estimates of heritability for body traits (bodyweight, body length, cephalothorax length, abdominal length, cephalothorax width and abdominal width) were moderate and ranged from 0.06 to 0.11 and from 0.11 to 0.22 at Weeks 10 and 18, respectively. Body-trait heritabilities estimated at Week 10 were not significantly lower than at Week 18. Genetic correlations between body traits within age and genetic correlations for body traits between ages were generally high. Our results suggested that selection for high growth rate in GFP can be undertaken successfully before full market size has been reached.
Details
- Title
- Quantitative genetic parameters for body traits at different ages in a cultured stock of giant freshwater prawn (Macrobrachium rosenbergii) selected for fast growth
- Authors
- Dinh Hung (Author) - Queensland University of TechnologyNguyen Hong Nguyen (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringDavid A Hurwood (Author) - Queensland University of TechnologyPeter B Mather (Author) - Queensland University of Technology
- Publication details
- Marine and Freshwater Research, Vol.65(3), pp.198-205
- Publisher
- C S I R O Publishing
- Date published
- 2014
- DOI
- 10.1071/MF13111
- ISSN
- 1323-1650
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99449103202621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Fisheries
- Limnology
- Marine & Freshwater Biology
- Oceanography