The invention discloses an SNP (
Single Nucleotide Polymorphism) marker-based rice
disease resistance character
whole genome association analysis method, which relates to the technical field of
biology, and is characterized by comprising the following steps: selecting a representative
genetic recombination population, carrying out high-density SNP
genetic typing on the
population, and combining recombination event positioning and linkage analysis to obtain the
disease resistance character
whole genome association analysis of rice. Obtaining genetic parameters reflecting recombination frequencies of different
genome segments; on the basis of the obtained original
genetic data, parent and
offspring genotype information is further integrated, fine positioning and statistics are carried out on recombination breaking points, and a high-resolution genetic map is constructed. By constructing a high-resolution genetic map and combining
feature engineering and
machine learning, accurate identification and dynamic SNP
encryption of a high-recombination region are realized, the marker coverage and associated
signal capture capability of the region is enhanced, the functional site
leak detection risk is reduced, and the detection efficiency is improved. The positioning accuracy and the
molecular breeding application effect of the rice
disease resistance character related
candidate gene are improved.