4.1. Relationship among different m

4.1. Relationship among different molecular markers
When two or more types of molecular marker systems are used to
evaluate genetic diversity of wild or domestic populations with the
same accessions, the correspondence between marker systems might
be an interesting matter for studies. Various authors provide different
answers, ranging from harmony to no correlation in the relationships.
The genetic similarities between SSR and AFLP markers of durum
wheat were defined by a correlation coefficient r = 0.81 [15].
Correlation between ISSR and RAPD similarity matrices of cashew was
calculated as r = 0.63, but AFLP displayed no linear association with
RAPD (r = 0.01) and ISSR (r = 0.11) of cashew [16]. And in this
research, there's a poor fit of the two matrices (r = 0.72, P b 0.001)
and infers a low correlation of the two markers, due to the few sample
we could get from the small natural populations. It should also be
considered that these marker systems and primers anchor at different
sites in the genome. It is expected that a greater number of markers
will provide for more precise estimates of genetic relationships,
but the distribution of these markers over the genome is equally
important. Diversity studies based on a set of markers with poor
coverage of the genome can give a different classification of the
germplasm [17].

4.1. Relationship among different molecular markers
When two or more types of molecular marker systems are used to
evaluate genetic diversity of wild or domestic populations with the
same accessions, the correspondence between marker systems might
be an interesting matter for studies. Various authors provide different
answers, ranging from harmony to no correlation in the relationships.
The genetic similarities between SSR and AFLP markers of durum
wheat were defined by a correlation coefficient r = 0.81 [15].
Correlation between ISSR and RAPD similarity matrices of cashew was
calculated as r = 0.63, but AFLP displayed no linear association with
RAPD (r = 0.01) and ISSR (r = 0.11) of cashew [16]. And in this
research, there's a poor fit of the two matrices (r = 0.72, P b 0.001)
and infers a low correlation of the two markers, due to the few sample
we could get from the small natural populations. It should also be
considered that these marker systems and primers anchor at different
sites in the genome. It is expected that a greater number of markers
will provide for more precise estimates of genetic relationships,
but the distribution of these markers over the genome is equally
important. Diversity studies based on a set of markers with poor
coverage of the genome can give a different classification of the
germplasm [17].

4.1. Relationship among different molecular markers
When two or more types of molecular marker systems are used to
evaluate genetic diversity of wild or domestic populations with the
same accessions, the correspondence between marker systems might
be an interesting matter for studies. Various authors provide different
answers, ranging from harmony to no correlation in the relationships.
The genetic similarities between SSR and AFLP markers of durum
wheat were defined by a correlation coefficient r = 0.81 [15].
Correlation between ISSR and RAPD similarity matrices of cashew was
calculated as r = 0.63, but AFLP displayed no linear association with
RAPD (r = 0.01) and ISSR (r = 0.11) of cashew [16]. And in this
research, there's a poor fit of the two matrices (r = 0.72, P b 0.001)
and infers a low correlation of the two markers, due to the few sample
we could get from the small natural populations. It should also be
considered that these marker systems and primers anchor at different
sites in the genome. It is expected that a greater number of markers
will provide for more precise estimates of genetic relationships,
but the distribution of these markers over the genome is equally
important. Diversity studies based on a set of markers with poor
coverage of the genome can give a different classification of the
germplasm [17].