The Use of Adaptive Genetic Algorithm for Detecting Kiwifruit’s Variant Subculture Seedling

International Journal Bioautomation

Yong Li¹  Jun Zeng² 

[1] ;College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China;

关键词: Kiwifruit;    Variant seedling;    Tissue culture;    Adaptive genetic algorithm;    Fitness function;   

DOI  :  

来源: DOAJ

【 摘 要 】

In order to reduce the possible economic loss brought by variant seedlings in tissue culture, we propose a pattern recognition approach using fitness to dynamically monitor subculture seedlings of kiwifruit based on adaptive Genetic Algorithm. By coding, selection, mutation and crossover the selected primer pairs of the subculture seedlings, we simulate the process of optimizing the kiwifruit’s genomic DNA polymorphism. The result shows that fitness values of kiwifruit’s subculture seedlings can better maintain their genetic stability from the first to the ninth generation in the simulation. But from the tenth generation, the rapid change of the fitness values of subculture seedlings happen. It is in accord with the experimentation, which uses optimized AFLP system for analyzing genetic diversity of 75 samples of seventh to eleventh 5 generations of kiwifruit subculture seedlings.

【 授权许可】

Unknown