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![](https://webarchive.library.unt.edu/eot2008/20090509052920im_/http://www.ars.usda.gov/incme/images/Research_head.gif) |
Research Project:
CATFISH GENETICS, BREEDING, AND PHYSIOLOGY
Location: Catfish Genetics Research
Project Number: 6402-31000-008-00
Project Type:
Appropriated
Start Date: Dec 14, 2004
End Date: Dec 13, 2009
Objective:
1)Measure genetic variation in production traits in the USDA103 catfish line and characterize correlations between traits; 2)Develop genomic resources for integrating functional genomics into the catfish applied breeding program; 3)Increase biological efficiency through selective breeding of catfish to increase the reproductive efficiency in the production of blue-channel hybrid catfish for commercial production and develop rapid, molecular methods to distinguish channel catfish, blue catfish and blue-channel catfish spawns from each other; and evaluate the improved germplasm developed at 3 to 4 locations in commercial-sized ponds in addition to research ponds to ensure that the germplasm merits release to the U.S. catfish industry.
Approach:
To attain the first objective, we will measure growth and carcass yield in catfish after rearing in ponds; correlate levels of growth hormone, insulin-like growth factors I and II (IGF-I, IGF-II)and IGF binding proteins (IGFBPs) with growth efficiency in catfish families; quantify family variation in resistance to E. ictaluri in the 5th and 6th generations of the USDA103 line; and determine levels of gonadotropic hormones in spawning catfish and correlate with individual variation in reproductive efficiency. For the second objective, we will add interspecific conserved genes to the catfish genetic linkage map to facilitate comparative genomic analyses; identify chromosomal regions (quantitative trait loci) containing genes controlling carcass yield and resistance to ESC; develop molecular markers for disease resistance candidate genes based on comparative functionality with other species; and identify candidate genes and gene products controlling economically important traits using differential gene expression on oligonucleotide microarrays. For the third objective, we will develop and implement an index based on breeding values of traits and their economic values to select individuals with superior composite phenotypes; and quantify differences in performance for production traits between selected lines and the USDA103 base population.
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Last Modified: 05/08/2009
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