title: Combined detection and introgression of quantitative trait loci underlying desirable traits.
abstract: This study presents a new method that combines QTL mapping and gene introgression. The effectiveness of this method for simultaneous detection and introgression of a desirable QTL from a donor line into a recipient line was evaluated by simulation. For evaluation, we used the fourth backcross generation of 2 inbred lines. The difference between the 2 lines for the trait of interest was described entirely by 1 QTL, with the donor line carrying the superior allele. Nine scenarios, combinations of 3 heritabilities (h(2) = 0.10, 0.05, or 0.01) and 3 population sizes (N = 100, 500, or 1,000) were considered in the simulation. Selection of parents for the next backcross was based solely upon the estimated probability of carrying the superior allele after a QTL analysis. Estimates of the QTL location and allele substitution effect in most scenarios were comparable to the true values. However (with either small h(2) or N) the QTL allele substitution effect was underestimated, and location was also biased. The SE of the estimates decreased with increasing N. The retained donor chromosome segment and linkage drag were close to the expected values from other published work. In general, combined detection and introgression of genes underlying desirable traits not only saves at least 1 generation, but also it ensures that the desirable QTL is introgressed where its function is simultaneously tested in a planned environment and recipient genome structure.
authors.affiliation: Department of Animal & Aquacultural Sciences, Norwegian University of Life Sciences, N-1432 As, Norway. hossein.yazdi@umb.no
authors.forename: M H
authors.initials: MH
authors.lastname: Yazdi
authors.forename: A K
authors.initials: AK
authors.lastname: Sonesson
authors.forename: J A
authors.initials: JA
authors.lastname: Woolliams
authors.forename: T H E
authors.initials: TH
authors.lastname: Meuwissen
mesh_terms: D000818:Animals; D002874:Chromosome Mapping; D003198:Computer Simulation; D003433:Crosses, Genetic; D008040:Genetic Linkage; D005819:Genetic Markers; D014644:Genetic Variation; D005838:Genotype; D007178:Inbreeding; D009010:Monte Carlo Method; D040641:Quantitative Trait Loci; D019655:Quantitative Trait, Heritable
chemical_list: D005819:Genetic Markers