Finding “good” QTL

So the key is identifying the “good” QTL – those that affect the trait in the direction you want, and then separating those from the negative ones. This is where QTL identification techniques are important.

Note that these techniques are simply statistical correlations, just like genetic mapping and any marker-trait correlations; however, because we are looking for many markers that correlate with a single trait, it is somewhat more complex statistically.