You can calculate the polymorphism information content (PIC) according to (Botstein et al., 1980) for each primer using PICcalc (Nagy et al., 2012).

Marker index (MI), as measured by PIC, and effective multiplex ratio may provide a convenient estimate of marker utility MI = PIC x E. E=nβ where β is the fraction of polymorphic markers, estimated after considering the polymorphic loci (np) and non-polymorphic loci (nnp) as β = np/(np+ nnp).

You can calculate the polymorphism information content (PIC) according to (Botstein et al., 1980) for each primer using PICcalc (Nagy et al., 2012).

Marker index (MI), as measured by PIC, and effective multiplex ratio may provide a convenient estimate of marker utility MI = PIC x E. E=nβ where β is the fraction of polymorphic markers, estimated after considering the polymorphic loci (np) and non-polymorphic loci (nnp) as β = np/(np+ nnp).

The following paper explains clearly how to calculate PIC, MI, RP etc. for dominant markers.

http://www.academicjournals.org/article/article1380877408_Kayis%20et%20al.pdf

I believe you can easily perform the calculations in excel.

Ok

you can use powermarker software because in that, you can have 2 allele for a marker, for example: A/B or A/A or B/B.

The following paper explains clearly how to calculate PIC, MI, RP etc. for dominant markers

http://link.springer.com/article/10.1007/s00606-013-0970-z

all the best

Hello

I think this article will be useful to you.

You can also use iMEC instead of PICcalc https://irscope.shinyapps.io/iMEC/ which calculates PIC, MI, R, D, H and EMR. You can cite it as Amiryousefi A, Hyvönen J, Poczai P (2018) iMEC: Online Marker Efficiency Calculator. Applications in Plant Science, in press

The paper will be out soon!