The aims are to know relationships among individuals in one species and to classify into two groups: good and bad individual which will be used to increase a population and to control it.
If you look for overall correlation between morphological and genetic data for the same sample set, you shold perform Mantel test. All you need are the distances (or similarities) between the accesions. I would suggest R package ade4 to do this.
A Mantel test can be a good start, but actually a Mantel test suffers from a number of weaknesses that are solved by more recent statistical methods. Basically, have a look at my answer to a similar question:
@All: Thanks for giving your answer. Would you like to give an answer to my next question? I need some help because I used to construct a tree (dendrogram/fenogram/cladogram) by drawing manually and I am new for this Computational Phylogenetics in Systematics (Taxonomy). The question has been attached.
The Mantel test (Mantel, 1967) can be used to calculate correlations between corresponding positions of two (dis)similarity or distance matrices derived from either multi- or univariate data.