Please use this identifier to cite or link to this item: http://hdl.handle.net/10524/19190

Integration of molecular genetic information into the NCCCWA selective breeding program for rainbow trout

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Title: Integration of molecular genetic information into the NCCCWA selective breeding program for rainbow trout
Authors: Rexroad, Caird E. III
Palti, Yniv
Vallejo, Roger L.
Silverstein, Jeffery T.
Keywords: rainbow trout, microsatellite, genetic map, expressed sequence tag
LC Subject Headings: Fish culture--Israel--Periodicals.
Fish culture--Periodicals.
Aquaculture--Israel--Periodicals.
Aquaculture--Periodicals.
Issue Date: 2006
Publisher: Israeli Journal of Aquaculture - BAMIGDEH
Citation: Rexroad I.C.E., Palti, Y., Vallejo, R.L., & Silverstein, J.T. (2006). Integration of molecular genetic information into the NCCCWA selective breeding program for rainbow trout. The Israeli Journal of Aquaculture - Bamidgeh, 58(4), 323-327.
Series/Report no.: The Israeli Journal of Aquaculture - Bamidgeh
Abstract: The USDA/ARS National Center for Cool and Cold Water Aquaculture (NCCCWA) in Leetown, West Virginia, is working to integrate molecular genetic technologies into a selective breeding program aimed at the genetic improvement of rainbow trout for aquaculture production efficien- cy. Our multidisciplinary approach aims to incorporate genome information with respect to dis- ease resistance and stress, growth, and reproductive physiology into our selective breeding pro- gram. Selective breeding is based on the hypothesis that sufficient genetic variation exists in broodstock to realize genetic improvement through contributions of superior performing germplasm to future generations. Our associated goal is to develop and transfer improved germplasm and technologies to the aquaculture industry. Our approach to implementing molec- ular information into our breeding program is outlined under three objectives: (a) development of a genetic map to reveal chromosomal locations affecting traits associated with aquaculture pro- duction, (b) use of a candidate gene approach to identify and characterize genes affecting impor- tant aquaculture production traits through functional genomic technologies, and (c) development of bioinformatic strategies to implement genetic mapping and functional genomic information into a selective breeding program.
Pages/Duration: 5 pages
URI/DOI: http://hdl.handle.net/10524/19190
ISSN: 0792-156X
Appears in Collections:IJA Volume 58, Issue 4, 2006



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