Abstract: [Objective]The optimization algorithm was used to optimize the design of clonal distribution of the seed orchard, so as to ensure rich genetic diversity in the next generation while maintaining high genetic gain, and provide advice on the clonal distribution of the high generation seed orchard.[Method]The genetic distance between the parents of Pinus sylvestris var. mongolica was determined using SSR markers and relevant analysis software, the parent trees were selected from the existing P. sylvestris var. mongolica in the National Production Base of Improved Seeds in Honghuaerji of Inner Mongolia. Based on this genetic relationship, the optimization algorithm was used to optimize the clonal deployment by computer simulations, and the original optimization method was improved by accommodating the objectives of the current study. Finally, the optimized clonal deployment was compared with the traditional clonal deployment and other options in a seed orchard.[Result]The seed orchard clonal deployment plan created by optimization algorithm is better than the traditional sequential dislocation method and other methods. This method can keep the maximum distance between the clones which have closer genetic relationship and reduce the chance of inbreeding, therefore enlarging the genetic basis of the offspring to a certain extent.[Conclusion] When the genetic distances between parents were given, the Improved Adaptive Parallel Genetic Algorithm, which was improved by changing the adaptive method based on the traditional Genetic Algorithm, can be used to optimize clonal deployment in seed orchard based on genetic distance.

Key words: seed orchard, clonal deployment, genetic distance, genetic algorithm