title: Distribution of donor genome composition and its application in marker aided backcrossing.
abstract: Conditional distribution was derived for the genome composition given the marker genotype of individuals from a backcross population. Genome size from donor was predicted by the mean. The precision of the prediction, indicated by the correlation with the unknown actual genome size from donor, was formulated by the variance and expressed as a function of the marker density. Results indicated that although high correlation can be obtained with a moderate marker density, say 40 cM per marker, the best individual in a large population has to be identified through a map of high density, say 10 to 20 cM per marker. For the best use of marker information in a marker aided backcrossing program for gene introgression, a stepwise marker genotyping and individual selection were suggested. That is, a preliminary selection can be made among all individuals but only on a few markers for each individual, and a fine selection would then be made among a few individuals but on more markers for each individual. This would be a very efficient method to increase the selection intensity in a large population but with a manageable number of marker genotyping for a gene introgression experiment.
authors.affiliation: Laboratory of Quantitative Genetics, Yangzhou University, Yangzhou 225009, China.
authors.forename: C J
authors.initials: CJ
authors.lastname: Jinag
authors.forename: H D
authors.initials: HD
authors.lastname: Mo
mesh_terms: D003433:Crosses, Genetic; D005819:Genetic Markers; D016678:Genome
chemical_list: D005819:Genetic Markers