An adaptive genetic algorithm for monitoring kiwifruit's variant seedlings in tissue culture

For simulating dynamically monitoring the process of optimizing the genomic DNA polymorphism of subculture seedlings of kiwifruit, an adaptive genetic algorithm is proposed. Based on selected 8 primer pairs of kiwifruit subculture seedlings, the variations of the genomic DNAs with different fitness functions are evaluated by coding, selection, mutation and crossover operators. The results show kiwifruit's subculture seedlings can better maintain their genetic stability from the first to the ninth generation, but from the tenth generation, genetic variations appear. The results are in accord with the experimentation, which use optimized AFLP system for analyzing genetic diversity of 75 samples of 12 generations of kiwifruit.