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item Paszek, A
item Wilkie, P
item Flickinger, G
item Beattie, Craig
item Rohrer, Gary
item Alexander, Leeson
item Wheeler, M
item Schook, L

Submitted to: Journal of Animal Science Supplement
Publication Type: Abstract Only
Publication Acceptance Date: 2/23/1996
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Genetic mapping permits locating genomic regions affecting economically important quantitative traits in food animals. Microsatellites are currently genetic markers of choice for mapping because of their high polymorphism and hetero-zygosities in comparison with Type 1 (RFLP) markers Markers identifying segments of chromosomes affecting performance of quantitative traits can be implemented into genetic improvement programs. Major traits of interest for swine production include: growth rate, fatness meat quality, litter size and disease resistance. The Univ. of Minnesota Swine Genome Mapping Laboratory in collaboration with USDA Meat Animal Research Center and the University of Illinois at Urbana, Champaign is constructing an interval map of the University of Illinois Resource Population (genomic scan) to identify quantitative trait loci. 80 highly polymorphic microsatellite markers uniformly distributed approximately every 20 cM were selected. The genetic map of each chromosome included 4 o 5 microsatellites. The F ratios providing statistical evidence for the most likely QTL location were calculated using Fortran 77 programs developed by S.A. Knott and C.S. Haley (AFRC, Roslin Inst.). The initial QTL scans were obtained for chromosomes 4, 13, 6, and 7 for the following traits: birth weight, rates of gain between birth and two-week age weights, birth and weaning weights, weaning and finisher weights, loin eye area, average backfat thickness, marbling score, total number of corpora lutea and number of piglets born.