SNP markers have become increasingly important tools for molecular genetic analysis, as single base-pair changes are the most abundant small-scale genetic variation present between related sequences of DNA.
If you can get the genomic sequences of a related species try few SSRs along AFLPs that may give you polymorphism and then you will be able to say something about the chromosomal origin of that marker as well. I have tried few in cereals (but not for QTL analysis) and they given very good results.
if you are willing to sequence two parents of a mapping population, then you could make a SNP panle to screen the population and build a linkage map to map the QTL for your tait(s). However, i agree with the above, AFLP analyses usually give you alot of data to begin constructing a framework map, in the long term these are not as good as SSR or SNPs due to their repeatablty/ transferability between occasions and labs.
If there are SSRs for other members of the ginger family - that have been mapped to chromosomes, then these would be good in combination with the AFLPs to assign chromosomes. You could also try RFLPs. I assume you have a mapping population - thus as long as the marker type works, and is polymorphic for the parents then you can start to collect data to build your map. Good luck.
I you have a population suitable to produce a genetic map (say, a biparental population with enough number of individuals), then you may try genotype-by-sequencing (GBS). It is probably the hottest method, for a good reason. It provides large amounts of markers, and the cost per data point is really cheap, and you do no need prior genome information. But the total cost for a population and thousands of data points can be a problem. But costs are dropping rapidly, and SSRs or other in-house markers are not cheap either. There are a few companies that offer this service already, and you can shop around. The output combines SNPs and presence/absence variation.