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Integration of molecular genetic information into the NCCCWA selective breeding program for rainbow trout
|Title:||Integration of molecular genetic information into the NCCCWA selective breeding program for rainbow trout|
|Authors:||Rexroad, Caird E. III|
Vallejo, Roger L.
Silverstein, Jeffery T.
|Keywords:||rainbow trout, microsatellite, genetic map, expressed sequence tag|
|LC Subject Headings:||Fish culture--Israel--Periodicals.|
|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.|
|Appears in Collections:||IJA Volume 58, Issue 4, 2006|
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