A new strategy for studying the genome structure and organization of natura
l populations is proposed on the basis of a combined analysis of linkage an
d linkage disequilibrium using known polymorphic markers. This strategy exp
loits a random sample drawn from a panmictic natural population and the ope
n-pollinated progeny of the sample. It is established on the principle of g
ene transmission from the parental to progeny generation during which the l
inkage between different markers is broken down due to meiotic recombinatio
n. The strategy has power to simultaneously capture the information about t
he linkage of the markers las measured by recombination fraction) and the d
egree of their linkage disequilibrium created at a historic time. Simulatio
n studies indicate that the statistical method implemented by the Fisher-sc
oring algorithm can provide accurate and precise estimates for the allele f
requencies, recombination fractions, and linkage disequilibria between diff
erent markers. The strategy has great implications for constructing a dense
linkage disequilibrium map that can facilitate the identification and posi
tional cloning of the genes underlying both simple and complex traits.