Materials & Methods: For this purpose, the genome information of rainbow trout was analyzed to identify the locations of quantitative traits in the database. Then, the information related to the statistical software used in linkage mapping was presented, and then the opportunities and challenges of linkage mapping and post-mapping studies at the whole genome level were discussed. To map the locations of quantitative traits related to a molecular marker, the nucleotide sequence of that marker and to map the locations of quantitative traits related to two adjacent molecular markers, the nucleotide sequence of both adjacent markers was extracted from the respective databases. The location of each quantitative trait locus was done based on the genetic map and at a 95% confidence level, and Biomercator software was used to predict the location and confidence level of MQTL based on the maximum likelihood method.

Result: In total, the number of 11 MQTLs showed a significant relationship, and the highest number of identified quantitative trait loci were in the 6th, 8th, 12th, and 13th linkage groups.

Conclusion: The results showed that there are few trait loci for the studied trait that can be used in breeding and genetic engineering of rainbow trout.