CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • CGIAR Research Programs and Platforms
    • CGIAR Research Program on Livestock and Fish
    • Livestock Fish Flagship: Animal Genetics
    • View Item
       
    • CGSpace Home
    • CGIAR Research Programs and Platforms
    • CGIAR Research Program on Livestock and Fish
    • Livestock Fish Flagship: Animal Genetics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Genetic variance for uniformity of harvest weight in Nile tilapia (Oreochromis niloticus)

    Thumbnail
    View/Open
    Thumbnail (6.418Kb)
    
    Authors
    Hooi Ling Khaw
    Ponzoni, R.W.
    Hoong Yip Yee
    Aziz, M.A.
    Mulder, H.A.
    Marjanovic, J.
    Bijma, P.
    Date
    2016-01
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Limited Access
    Metadata
    Show full item record
    Share
    Citation
    Hooi Ling Khaw, Ponzoni, R.W., Hoong Yip Yee, Aziz, M.A., Mulder, H.A., Marjanovic, J. and Bijma, P. 2016. Genetic variance for uniformity of harvest weight in Nile tilapia (Oreochromis niloticus). Aquaculture 451:113–120.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/72549
    DOI: https://dx.doi.org/10.1016/j.aquaculture.2015.09.003
    Abstract/Description
    Competition for resources is common in aquaculture, which inflates the variability of fish body weight. Selective breeding is one of the effective approaches that may enable a reduction of size variability (or increase in uniformity) for body weight by genetic means. The genetic variance of uniformity is commonly known as genetic heterogeneity of environmental variance for particular traits. The data collected from a social interaction experiment were used to investigate the presence of genetic variation in heterogeneity of environmental variance for harvest weight in the GIFT strain. A total of 944 records pooled (by family-group) from 6330 individual harvest weights were used in the analysis. For the estimation of genetic parameters we fitted a bivariate sire–dam model to harvest weight and its standard deviation. To normalize the residuals, individual harvest weight was Box–Cox transformed. The heritability (at the family by group level) and genetic coefficient of variation for standard deviation of Box–Cox transformed harvest weight (0.23 and 0.17, respectively) indicated that uniformity of harvest weight was partly under genetic control. In addition, we found a very low genetic relationship between Box–Cox transformed harvest weight and its standard deviation, rA = 0.095 ± 0.183. Hence, these two traits are unrelated and can be selected in different directions using index selection, namely, aiming to increase growth rate while decreasing size variation. We conclude that there is potential to increase harvest weight and its uniformity by selective breeding in the GIFT strain of farmed tilapia.
    CGIAR Affiliations
    Livestock and Fish
    AGROVOC Keywords
    FISHES
    Subjects
    FISH; GENETICS; LIVESTOCK;
    Collections
    • Livestock Fish Flagship: Animal Genetics [57]

    AboutPrivacy PolicySend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breedBy CGIAR System subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breedBy CGIAR System subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy PolicySend Feedback